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Practical resources for independent educators, expertise and organizations turning lived experience into income.
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Most training programs share the same problem. The content gets built, distributed, and largely ignored. Completion rates stay low. Managers ask whether anyone actually learned anything. No one has a clean answer.
This is the challenge Daniela Bianchin, Product Marketing Lead at Teachable, opened with during a recent global training webinar. The session brought together L&D professionals, healthcare trainers, solo course builders, and people managing partner education at companies like Google — joining from Brazil, Canada, Australia, Russia, Georgia, and the United States.
Their top two challenges: measuring impact and getting learners to actually engage.
Below is a summary of what the session covered, including the specific features Daniela demonstrated and the questions attendees raised.
When training lives across PDFs, slide decks, and shared folders with no consistent structure, measuring it becomes nearly impossible. You lose track of who completed what, which concepts landed, and where learners dropped off.
According to the 2023 LinkedIn Workplace Learning Report, 89% of L&D professionals agree that proactively building employee skills is the best way to navigate the future of work — yet most organizations still rely on fragmented content to deliver it.
A platform purpose-built for training addresses this at the delivery level. Teachable for business gives you course structure, compliance tools, and reporting in one place, so you can see exactly what is happening inside your program.
Two examples from the webinar illustrate the difference:
The most requested topic during the session was accountability: how do you confirm someone actually went through the material?
Teachable addresses this through course compliance settings. You can require learners to pass a quiz before advancing to the next lesson. You can require them to watch at least 90% of a video before moving forward. Either way, both requirements generate data you can act on.
When learners consistently miss the same quiz questions, you can see which concepts need reinforcement. When they skip sections, the reporting shows it. This matters both for measuring learning and for improving the material over time.
In a recent Teachable survey of more than 500 students, over 60% said that having a clear structure with a defined path forward was the main reason they came back to finish a course.
That is the practical difference between a course people start and a course people complete. Structured paths with clear next steps give learners a reason to return. Compliance checkpoints give administrators something to report on.
For more on how new hire training programs use these features, that post covers the setup in more depth.
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You can create a course on Teachable using AI to generate a first draft, or upload content manually. The two approaches work together. A common setup is to use AI to generate a section outline, then replace the placeholder content with your own material.
Course content supports: video (MP4, MOV, AVI), PDFs, audio, text and images, embedded video from external platforms like YouTube, and live sessions connected through Zoom. Quizzes sit alongside this content as standard lesson types, not a separate system.
AI can also generate quiz questions from your existing lessons. Select the lessons you want covered, and the tool produces a draft set of questions. From there, you edit to match your specific terminology and objectives.
For teams that need structured sequences, Learning Paths (currently in beta) lets you chain multiple courses together in a defined order. Learners move through them in sequence and cannot skip ahead. Bundles, by comparison, give access to a collection of courses without enforcing any particular order — useful when learners can self-direct their path.
Learners notice when training looks generic. For enterprise training programs in particular, a branded experience signals that the program was built intentionally. It reads as deliberate, not assembled from whatever tool was available.
Teachable supports custom domains, branded color schemes, and white-label configuration so the environment stays consistent with your organization's visual identity. Design templates give you a starting point. Custom code access opens full control for teams with specific requirements.
Multi-language support extends this to global teams. You can set the learner interface to a specific language, and video subtitles can be translated to match. This also covers accessibility: subtitles help learners who process written material more easily than spoken audio.
Certificates at the end of a course can carry your brand. Learners can share them directly to LinkedIn, which creates organic visibility for your program without any additional promotion effort. For more on how certificates work, see the Teachable certificates support article.
For L&D professionals working across business units, or trainers delivering to multiple client organizations, having all learners in a single undifferentiated list creates real management problems.
Teachable's Organizations feature (currently in beta) creates separate containers for each group. Each organization can be assigned specific courses and a defined access window: a seasonal cohort gets 30 days, a specific team sees only the courses built for their function. An organization admin inside the client company can manage enrollment directly, so you are not routing every access request through your own account.
Reports are scoped per organization. You can see who logged in, which lessons were completed, quiz scores, and open-response answers. A leaderboard view shows relative engagement across the group at a glance.
For organizations selling training to other businesses, the B2B online training guide covers how to structure these programs for external clients.
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Plans start at $29 per month. Course compliance features are available on higher-tier plans, so reviewing the full feature comparison at teachable.com/pricing before selecting a plan is the clearest way to match your needs to the right tier.
teachable:pay handles payment processing and tax management for sellers. It supports more than 30 payment methods through a Stripe partnership. Withdrawal schedules run daily, weekly, or monthly depending on your preference.
One-time purchases, installment plans, and limited-enrollment pricing are all available when setting up a product. Enrollment limits can be set by the number of students or by a specific date window.
Teachable gives training teams the tools to build structured courses, track completion, and produce real data on whether learning is happening. See how it works for business training.
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"We need to figure out what skills we're missing." It gets said in a lot of leadership meetings, usually after a missed goal, a new initiative, or a round of exit interviews that all point to the same theme. Then it lands with someone in HR or L&D who has to figure out what to actually do with it.
According to Springboard for Business's State of the Workforce Skills Gap 2024, 70% of corporate leaders report a critical skills gap in their organization that is negatively affecting business performance. The gap is real. The question is how to identify specifically which gaps matter most and in what order to close them.
A skills gap analysis is the answer to that question. Executed well, it tells you where the distance between what your team can do today and what the business needs them to do is most significant. It also gives you the basis for prioritizing learning investments that will produce measurable results.
Executed poorly, it produces a sprawling list of capabilities that need improvement, with no guidance on where to start and no connection to what the business is actually trying to accomplish. Here is how to do it well.
A skills gap analysis compares two things: the capabilities your organization needs to achieve its goals, and the capabilities your people actually have. The distance between those two things is what you are trying to understand and close.
The key word is "needs." A skills gap analysis is a focused exercise in identifying the capability gaps that most constrain the business. These are the gaps where closing them would most directly enable growth, reduce risk, or improve performance. An inventory of everything everyone could theoretically improve is a different exercise entirely, one that typically takes months and produces outputs nobody uses.
Given where we are trying to go, what do we need our people to be able to do that they cannot do well enough today? That question, asked honestly and with the right people in the room, is the starting point for a useful analysis.
That framing keeps the analysis grounded. Rather than assessing organizational capability in the abstract, you are answering a specific question tied to where the business is headed.
The most common mistake in skills gap analyses is starting with job descriptions or competency models. These capture what roles are supposed to involve, not what capabilities the business specifically needs to hit its goals right now.
Start instead with the organization's most important priorities for the next twelve to eighteen months. For each one, ask: what do our people need to know or be able to do to execute this? What capabilities are most critical to success here?
Then ask the harder question: where are we most likely to fall short? What capabilities, if you are being direct about it, are you not confident you have at the level the plan requires?
That conversation, ideally with functional leaders and not only HR, surfaces the gaps that matter most rather than the ones that are easiest to measure. For organizations building this into a broader L&D planning process, this business-goals-first approach is the same principle that makes a training program worth funding.
A skills gap analysis based on a single data source is unreliable. The clearest picture comes from combining multiple inputs:
The goal is a convergent picture. When multiple sources point to the same gap, you have high confidence it is real. When only one source flags something, treat it as a hypothesis to investigate before committing resources to it.
The output of a skills gap analysis is almost always a longer list than any organization can act on at once. Most analyses stall at this stage because the prioritization question, which gaps to close first, gets answered by committee consensus rather than a clear decision process.
A two-dimension evaluation helps cut through this. For each identified gap, assess:
The gaps that score high on both dimensions are your first priorities. The rest can be sequenced or deprioritized based on available resources and timing. Once you know what to build, the post on how to create a training program covers the design decisions from there.
Before designing any training intervention for a priority gap, define what closing it looks like. Completion of training is a participation metric, not a success metric. The right question is: what will be different in the organization when this gap is closed?
For a product knowledge gap, the answer might be rep confidence scores in calls or first-call conversion rate. For an onboarding gap, it might be time-to-first-independent-contribution for new hires. For a compliance gap, it might be audit pass rate.
Defining success upfront shapes the design of the training program toward the outcome rather than toward coverage of the topic. It also gives you the basis for evaluating whether the investment produced results. For more on how to set and measure those metrics, see how to measure training effectiveness.
A full skills gap analysis is a substantial exercise. Most organizations benefit from running one annually, aligned with planning cycles, so that learning priorities get set in the same context as business priorities.
Between annual analyses, a lighter ongoing practice is more valuable than waiting a full year to update. Quarterly check-ins with functional leaders, tracking performance data on identified gaps, and periodic short pulse surveys can surface new gaps as they emerge. Organizations running asynchronous training programs have an advantage here: completion data and knowledge check results provide a near-real-time signal on where gaps are closing and where they are not.
Teachable gives L&D teams the delivery platform to act on skills gap findings, with completion tracking and progress data that tell you whether your highest-priority gaps are actually closing. See how it works at teachable.com/scalable-training.
The value of a skills gap analysis is the decisions it enables, not the document it produces. The most useful analyses end with a small number of prioritized learning investments, a defined success measure for each, and an owner responsible for each intervention.
That output is what an L&D strategy looks like when it has organizational credibility: a clear set of priorities that leadership understands and will fund, tied to goals that employees recognize as worth learning toward. The analysis establishes the foundation. Building well on it is where the real work begins.
Teachable gives L&D teams the tools to act on skills gap findings — from building targeted content to tracking whether it's working.
See enterprise training options | Book an enterprise demo | Calculate your training ROI
There is a particular kind of sales call that product and marketing teams dread. A rep is on with a qualified prospect, things are going well, and then they misstate a key capability, oversell a feature that has not shipped yet, or go blank on a question that should be standard. The deal goes cold and the loss goes into a report that will get reviewed at the end of the quarter.
According to research cited by Valuecore, 82% of B2B decision-makers say the sales reps they meet with are unprepared. Those are not bad reps. Those are undertrained ones. Product knowledge gaps are among the most consistent sources of avoidable deal losses, and the information to fix them almost always already exists inside the organization.
Here is how to build product knowledge training that produces genuine confidence and accuracy in the field.
Most product knowledge training programs share the same structural problem: they are built from the product's perspective rather than the seller's. A full walkthrough of every feature, organized by product area, tells reps everything that exists. What it does not tell them is what matters to a specific buyer type, when in a conversation to surface it, or how to talk about it in a way that actually lands.
The result is reps who know the product conceptually but struggle to deploy that knowledge in conversation. They freeze on objections, give generic answers to specific questions, or compensate by pulling a technical colleague into calls where they should be able to hold their own.
Good product knowledge training is built from the seller's perspective: organized by use case, buyer type, and objection — not by feature category. That single reframe changes the usefulness of almost everything in the program.
Effective product knowledge training builds four types of knowledge:
Which customers use which parts of the product, in what ways, to solve which problems. This is what lets a rep say "we work with a lot of companies like yours — here is how they typically approach this" instead of launching into a generic product walkthrough.
Use case knowledge is best taught through customer stories and recorded calls, not product documentation. The most useful product training libraries are organized by industry, company size, or buyer role, and drawn from real customer conversations. For organizations also running sales onboarding programs, this library is the same asset — build it once and it serves both programs.
"Your product does not do X." "We already have Y." "How is this different from Z?" These objections appear in nearly every deal and are completely predictable. Reps who have practiced specific, accurate responses to them perform better than reps who improvise under pressure.
Documenting the ten to fifteen most common product objections and the effective responses to each — then making sure every rep has worked through them — is one of the highest-return investments in product training. The responses already exist in your best reps' heads. The work is getting them out and into a format the whole team can use.
How your product compares to the alternatives buyers are evaluating. This does not mean building a sprawling feature comparison matrix. It means knowing the two or three areas where you are genuinely stronger, the areas where alternatives have advantages, and the framing that helps buyers understand why the differences matter for their situation.
Reps who can acknowledge a competitor's strengths while explaining why your approach is better for the buyer's specific situation are more credible than reps who pretend no alternatives exist. Honest competitive fluency builds trust. See also the channel partner enablement guide for how competitive positioning works when reps are external partners rather than employees.
Products change. Features get added, pricing models evolve, positioning shifts. A rep who has been in the role for eighteen months may be selling based on a product picture that is significantly out of date. Keeping product knowledge current is an ongoing training challenge, not a one-time project.
The solution is a defined update cadence tied to product releases, not a hope that reps will find and absorb release notes on their own.
Research from Harvard Business Review and Sales Performance International finds that 87% of training content is forgotten within a month. The programs that overcome this share a common design: they build in practice, not just consumption.
Teachable gives sales enablement and product marketing teams a platform for product knowledge content with completion tracking, a searchable library, and the ability to push updates without IT involvement. See how organizations use it at teachable.com/scalable-training.
Assessment scores and completion rates are easy to measure. They are not the best indicators that training is producing results. The clearest signal is what changes in the field: reps handle objections independently rather than escalating, demos stay accurate without product team oversight, and new reps reach conversational fluency faster than previous cohorts did.
Getting there requires building training from the seller's perspective, organized around how reps actually talk to buyers rather than how the product was built. That reframe is the most consequential change most product knowledge programs could make, and it costs nothing except the willingness to rebuild the library from scratch.
For organizations also looking at how product training connects to broader new hire training program design, the principles are the same: build from the job, not from the org chart.
Teachable gives your enablement team a structured library, completion tracking, and the ability to keep content current as your product evolves.
See enterprise training options | Book an enterprise demo | Calculate your training ROI
The cost of a slow sales ramp is one of the most consistently underestimated numbers in revenue organizations. When a new rep takes six months to reach full productivity instead of three, you are not just waiting longer. You are carrying the cost of their salary and benefits while they generate a fraction of their quota. Multiply that across a team that is growing and the number becomes significant fast.
According to research cited by WorkRamp, the average ramp time for a new sales rep is 3.2 months, based on Bridge Group benchmarks. Many organizations are taking considerably longer than that. The gap is almost always the onboarding program.
Sales onboarding tends to be a mix of ride-alongs, product demos, shadowing calls, and the assumption that the new hire will absorb the rest through observation. The reps who succeed often do so in spite of the onboarding program. Here is how to build one that actually helps.
Before designing an onboarding program, get clear on what ramped means for your organization. "Fully productive" is too vague to design toward. A more useful definition has specific, measurable components:
Defining these milestones before you start building lets you design onboarding content and activities that specifically address each one. It also gives you a way to evaluate whether the program is working.
Effective sales onboarding covers four distinct knowledge areas. Each one requires different content and different learning approaches.
What you sell, how it works, what problems it solves, and who it is for. This is the easiest area to teach and the most commonly over-emphasized in onboarding. Most reps can learn product fundamentals from structured self-paced content. They do not need a live session to understand the feature set.
What takes longer to develop is the ability to connect product capabilities to specific customer problems in real-time conversation. That requires practice, not just knowledge.
Who your buyers are, what they care about, what triggers them to look for a solution like yours, and what objections come up most often. This knowledge tends to live in the heads of your best performers rather than in any written document.
The most valuable onboarding content in this category is usually recorded calls with experienced reps, broken down by stage and scenario. Hearing how a skilled rep handles a specific objection is more instructive than any training module on objection handling.
Your sales process, your CRM, your outreach cadences, your pricing model, your approval workflows. This is operational knowledge that needs to be accurate and is often poorly documented. New reps who learn the wrong process or who develop bad CRM habits can take months to correct.
This category is well-suited to short, structured online content with clear step-by-step guidance, especially for tools and processes that do not require live facilitation. A well-built new hire training program covers this ground with completion tracking so managers can see exactly where gaps remain.
Why your company exists, how you position against competitors, what makes your approach distinctive, and how to handle the "why you over X?" question. This is often covered in initial orientation and then never reinforced. Competitive positioning fluency takes repetition to develop, and a single session at the start of onboarding will not build it.
Reps who have to demonstrate knowledge before advancing retain more and enter live selling situations with considerably more confidence.
Beyond the four knowledge areas, a few practices consistently cut ramp time for sales organizations that use them:
For organizations running safety training programs for employees alongside sales onboarding, the same certification logic applies: documented completion protects the organization and gives new hires a clear finish line to aim for.
The fastest path to a better sales onboarding program is capturing what already works. Your top performers have already figured out what new hires need to know. They are the source material.
A practical starting approach:
The same principle applies to channel partner enablement programs, where the equivalent of a new sales rep is an external partner who needs to get credible with your product quickly. The structure is identical: four knowledge areas, clear milestones, documented completion.
A sales onboarding program that cuts ramp time by four to six weeks per rep compounds across a full hiring cycle. It also reduces early attrition. Reps who feel prepared succeed faster, and reps who succeed faster tend to stay longer.
The investment in building a structured sales onboarding program is almost always recovered within the first cohort that goes through it. The difficult part is doing the work deliberately rather than assuming new hires will figure it out.
Teachable gives sales enablement and revenue operations teams a platform for onboarding content that includes completion tracking, certification, and a searchable library new reps can access before any call. See how organizations use it at teachable.com/scalable-training.
Teachable gives your enablement team the structure to deliver consistent onboarding to every new rep, with the tracking to prove it is working.
See scalable training options | Book an enterprise demo | Calculate your training ROI
Employee development plans have a participation problem. Most organizations have a process: managers sit down with employees, development goals get documented, and the plan goes into the HR system. Then the next review cycle arrives and most of those goals have not moved.
The documentation exists. The follow-through rarely does. According to Gallup's 2023 State of the Global Workplace report, only 33% of employees strongly agree that their manager helps them set performance and development goals they can get excited about. The gap between a filed plan and a followed one comes down to how the plans are built and whether the organization actually makes development possible once the paperwork is signed off.
This guide covers how to build an employee development planning process that produces real growth, not just records.
Before redesigning the process, it helps to be honest about why the current one stalls. The patterns are consistent across organizations of most sizes:
A development planning process that addresses these issues looks very different from a standard annual review add-on. The guide to building a learning and development strategy covers how to create the organizational conditions that make individual plans actually executable.
A practical employee development plan answers four questions.
The strongest development goals come from the employee rather than the manager. People develop faster and more durably when they are working toward something they want to be better at, whether that is a technical skill, a leadership capability, or readiness for a new role.
The manager's role at this stage is to help the employee identify goals that are both personally meaningful and relevant to their current work, not to hand down a list of things to improve.
This is the manager's input: based on current performance and where the employee is headed, what capabilities would most accelerate their growth or make them more effective in the role? This layer ensures development stays connected to real performance and career progression rather than becoming purely aspirational.
Most plans are weakest here. "Complete relevant training" is not a development action. A useful development plan specifies:
Gallup's 2023 State of the Global Workplace report found that only 33% of employees strongly agree their manager helps them set development goals they can get excited about. The problem is less about motivation and more about the quality of the goal-setting conversation itself.
Development goals without a check-in cadence disappear into the next quarter. A lightweight review rhythm, a monthly fifteen-minute development conversation or a standing item in weekly one-on-ones, keeps goals visible and gives employees a regular opportunity to raise blockers before they derail progress entirely.
Individual development plans work best when the organization creates the conditions that make them possible. A few things that matter at the organizational level:
A development plan does not require a complex form. Six fields, answered well, are sufficient:
One focused development goal per quarter, executed well, produces more growth than five goals that never move. For organizations building a full development catalog to support these plans, the guide to creating a training program from scratch covers how to build content that maps directly to role-specific development goals.
A well-structured development plan is more achievable when employees can access learning resources directly and managers can see who is engaging with development. A platform that gives employees a self-serve content library, tracks completion, and lets managers view progress removes the operational friction that causes most development plans to stall.
The technology supports the plan. It does not replace the manager conversation, the goal-setting discipline, or the protected time that make development real. For teams evaluating whether their current platform is set up to support individual development tracking, the corporate training software overview covers what to look for in reporting depth, content organization, and completion records. Teachable's certificates of completion also give employees a visible, shareable record of completed development, which helps maintain motivation across longer-form programs.
The clearest indicator that employee development planning is working has nothing to do with completion rates on forms. It shows up when employees bring development goals into conversations unprompted, when they ask about stretch opportunities, reference the skills they are building, and connect their day-to-day work to their longer-term growth.
That level of engagement is built by making development real rather than just documented. A good plan is the starting point. The manager relationship, the accessible resources, and the protected time are what give it traction.
Teachable gives your team a self-serve learning platform so development plans do not stall waiting for resources.
See Teachable for enterprise training | Book an enterprise demo | Try the training ROI calculator
Most organizations have a learning and development strategy on paper. Very few have one that anyone uses as a decision-making tool.
The document exists. It sits in a shared drive referencing some learning principles and a vague commitment to ongoing development. The actual training decisions, what to build, who to prioritize, and what to buy, get made based on whoever submits the loudest request that quarter. According to LinkedIn Learning's 2024 Workplace Learning Report, only 37% of L&D professionals say their programs are closely aligned to specific business goals. The strategy problem is widespread, and it is fixable.
A real L&D strategy functions as a practical tool, not a filing exercise. This guide covers how to build one that operates that way.
An L&D strategy answers three questions: what capabilities does the organization need to be successful, where are the gaps between those capabilities and what people can do today, and how will the organization close those gaps through learning?
Everything else, the platforms, the content, the delivery methods, the metrics, flows from those three answers. If the current L&D strategy lacks clear, specific answers to all three, it is a statement of intent rather than a working plan.
The reason this matters is practical. Without clarity on what capabilities the business needs and where the gaps are, every learning investment is equally justifiable and none of them are genuinely prioritized. Organizations end up doing a little of everything for everyone, with no way to evaluate whether any of it is working. The guide to measuring training effectiveness covers how to build the measurement layer that makes an L&D strategy accountable.
The most common mistake in L&D strategy is starting from the learning side: what training to offer, what skills are worth developing, what programs could be built. That approach produces a training catalog disconnected from what the business actually needs.
Starting from the business side produces better results. What are the organization's most important goals for the next twelve to eighteen months? What capabilities would most accelerate those goals? What is the most significant skill or knowledge gap currently getting in the way?
The answers to these questions, ideally gathered through direct conversations with functional leaders rather than a survey, define where L&D should concentrate. A company expanding into new markets has different learning priorities than one working to reduce operational errors. A plan built for one will not serve the other.
LinkedIn Learning's 2024 Workplace Learning Report found that only 37% of L&D professionals say their programs are closely aligned to specific business goals. Anchoring to business priorities from the start is the single biggest lever for closing that gap.
Once the required capabilities are defined, an honest picture of where things stand today is needed. This is the skills gap analysis: what can people actually do versus what they need to be able to do?
This analysis does not require an elaborate assessment program. A few practical approaches that work for most organizations:
The goal is not a complete skills inventory across the entire organization. The goal is identifying the three to five highest-impact gaps, the ones where closing the gap would most directly accelerate the business goals identified in step one.
Not every capability gap is a training problem. Some gaps are better addressed through hiring, process improvement, or clearer expectations. Before designing a learning program, the right question is whether this is actually a learning problem at all.
Learning is the right intervention when people lack knowledge they need or have not yet practiced a skill they are expected to perform. Other causes, unclear processes, misaligned incentives, or the wrong tools, call for different solutions. Applying training to a non-learning problem produces completion rates without behavior change.
For the gaps that are learning problems, match the delivery approach to the nature of the content:
Every learning initiative needs a defined success measure before it launches. The measure should be tied to the business goal it is supporting, not to the training activity itself.
100% completion is a participation measure. The right question is: what should be different in the organization six months after people complete this training?
For a sales onboarding program, success might be time-to-first-deal. For a compliance program, it might be audit pass rate. For a customer service training program, it might be CSAT score movement. Define the measure before content is built so there is something to evaluate against, and so the case for continued investment can be made when the program works. The guide to building a training program from scratch covers how to set measurable objectives at the design stage.
An L&D plan that does not answer the question of who decides what gets built next will drift. Without a clear governance model, training decisions get made reactively. Whoever asks loudest gets a program built, regardless of fit with the overall plan.
A practical governance model for most mid-market organizations requires three things:
This does not require a large L&D team. It requires clarity on who is accountable for what. For teams running training across distributed workforces, Teachable for enterprise training programs covers how to maintain governance and reporting across large learner populations without IT overhead. For organizations specifically managing safety or compliance requirements, the safety training program guide covers how to build accountability into programs where documented completion is a legal requirement.
A well-built L&D strategy makes it easier to say yes to the right things and no to the wrong ones. When a business unit requests a training program, the strategy provides the basis for evaluating it: does this close a capability gap tied to a business goal? Is the gap learning-addressable? What does success look like and when will it be measured?
Those questions, answerable from the strategy document itself, are what shift L&D from a request-taking function into a business partner. That shift is what the strategy is ultimately for. For teams evaluating which platform best supports execution of an L&D strategy, the corporate training software overview covers what to look for in assessment tools, reporting, and content management.
From onboarding to compliance to skills development, Teachable gives L&D teams the tools to execute without IT overhead.
See Teachable for enterprise training | Book an enterprise demo | Try the training ROI calculator

We have been busy. Over the last few months we shipped updates to mobile, certificates, translations, and B2B distribution, plus there are a couple of existing features worth revisiting. Here is everything, and why it matters.
According to Salesforce Research, smartphones generated roughly two-thirds of all US online shopping orders in Q3 2024. For your students, mobile is the primary screen, and in many global markets it is the only one. So we treated it that way.
We shipped a set of improvements to the Teachable mobile app: offline access, push notifications, expanded language support, and better performance.
iOS and Android are now fully on par. Whatever the experience is on one, it is the same on the other.
The bigger story is reach. The gap between someone enrolling in your course and actually completing it is largely a mobile problem. Most students browse, buy, and consume content on their phones, and any friction in that experience is a drop-off point.
Offline access means a student on a plane, a commute, or a spotty connection can still make progress. Push notifications mean you can bring them back when they drift. Together, these become completion rate levers.
For course creators, completion rates tie directly to reputation, reviews, and referrals. For anyone building a global audience or selling into markets where mobile is less a preference and more a given, this update closes a meaningful gap.

Completion certificates are now available on Teachable, with direct LinkedIn sharing built in. Full setup details are in the certificates support article.
Strategically, this is one of the underrated growth tools available to course creators. Every time a student shares their certificate on LinkedIn, your course name reaches their entire professional network: people who are exactly the kind of audience likely to be interested in what you teach.
That is organic distribution you do not have to pay for, driven by the people who have already validated your content by completing it.
There is a second effect worth naming: certificates change how students engage with a course before they finish it. Knowing a credential waits at the end raises the perceived value of completing, which means higher finish rates, better reviews, and stronger word of mouth.

See how Antoine van der Lee built his iOS developer community on Teachable. Certificates are part of that story.
For anyone running corporate training, customer education, or compliance programs, certificates also add a layer of institutional credibility that enterprise buyers often require.
One-click translations already existed on Teachable. Previously, they covered the dashboard, product catalog, and product detail pages. Curriculum, checkout, and all other pages were excluded, which meant a student could browse in their language and then hit a wall as they moved deeper into your school.
That gap is closed. Translations now apply to your entire school. Go to Site > Language and text, select from the dropdown, and every page updates, checkout included. We support 13 languages: English, Arabic, Spanish, French, German, Portuguese, Italian, Japanese, Thai, Chinese (Traditional and Simplified), and Turkish.

The strategic implication is significant. Language has always been one of the biggest invisible barriers to course sales. A student who finds your content in their language but hits English at checkout is likely to leave. Localization at the checkout level is a conversion issue, and now it is resolved with a single setting. For creators who have been building multilingual audiences or expanding into new markets, this removes the last real friction in the purchase flow.
B2B Bulk Distribution is now available in Early Access, and it is worth understanding what this opens up.
Until now, running a training program on Teachable at volume meant friction at the enrollment layer. Bulk distribution removes that ceiling. You can enroll entire groups in one action, which means the operational overhead that used to make large-scale training painful is largely gone.
This matters beyond convenience. For creators and companies building B2B revenue streams, selling training to other businesses rather than individual consumers, the ability to deliver across dozens or hundreds of learners is often the difference between a pilot and a real contract.
Enterprise buyers need to know the platform can handle their volume before they commit. Teachable for Enterprise is built for exactly that, and bulk distribution is a core part of how it works. You can read more about the B2B revenue model in how to sell online training B2B.
Early Access means two things: you can start using it now, and you get direct input into how it develops. We are actively working with early users to shape the product. If you are running or planning a large-scale training operation, this is the time to get in.
Apply to the early access waitlist.
Some of the most powerful things on Teachable are not new. Here are two features that creators are already putting to work, and worth knowing about if you have not explored them yet.
If you are using teachable:pay, every sale you make is already covered for tax compliance: US sales tax, EU VAT, and UK VAT, with Teachable handling it automatically.
Most creators do not realize this is on by default, which means they absorb compliance worry they do not need.
The second piece is checkout conversion. teachable:pay supports Apple Pay and Google Pay, which means anyone buying on mobile can complete a purchase in a couple of taps.
Checkout abandonment is one of the most consistent revenue leaks in an online course business, and the payment step is a major contributor. This already exists. It is already working. If you have not enabled it yet, now is the time.
Teachable has achieved SOC 2 Type II accreditation, a rigorous independent audit covering security, availability, confidentiality, and privacy.
A Type I certification confirms controls are designed correctly. Type II verifies they are consistently followed over time. That is a meaningful distinction for buyers doing due diligence.
If you are selling training to enterprise customers or running B2B programs, security compliance is often a procurement requirement. SOC 2 Type II answers that question before it becomes a blocker.
It is also a credential worth putting in front of potential B2B buyers proactively. Most will not ask until they are already deep in a buying process, but having the answer ready can move things forward.
We are always building. Keep an eye on your school and stay up to date with us on Instagram, LinkedIn, and YouTube for more!
Most company videos are scripted. Leadership says the right things, hits the right notes, and nobody gets surprised.
This one was different.
We put three of Teachable’s most senior leaders on camera: Giovana Carvalho (Managing Director), Anna Damico (Head of Sales), and Olivia Owens (Head of Product Marketing & Partnerships). We asked them the things nobody usually asks: whether what Teachable sells still matters when anyone can ask ChatGPT anything, what the most common reason creators fail actually is, and where they are placing their bets for the next 12 months.
No press release framing or scripted answers.
What followed was a candid 25-minute conversation about AI, creator identity, corporate learning, and where the real opportunities are right now. Below are the moments worth keeping.
“We want people with perspectives, lived experience, taste, to continue to create the experiences that create outcomes.” –Olivia Owens, Head of Product Marketing & Partnerships, Teachable
Short answer: no.
The opening question was blunt. Does what Teachable sells still matter in a world where anyone can ask an AI to explain anything.
Anna didn’t hesitate.
“People need learning fast. People need people with experience sharing those learnings with them. I believe AI came to accelerate, to help Teachable as a concrete, solid, stable, reliable tool. But I don’t see that it will become obsolete. Absolutely not.” –Anna Damico, Head of Sales, Teachable
Olivia grounded it with a personal example. A few years ago, she took a time management course through a coaching program because she was struggling to juggle competing priorities. The course had content. But what actually changed her behavior was accountability.
“I could type into ChatGPT, 'here’s my calendar, help me fix this,' and do nothing with it. But I had to meet with her every week. 'How is that going? Did you actually change that behavior?' That’s what I can’t replicate.” –Olivia Owens, Head of Product Marketing & Partnerships, Teachable
Giovana went further, arguing that accountability is the core driver of learning at all.
“I need someone who’s depending on me, who’s putting faith in me. Competing against the amount of stimuli we’re all getting every single day is insane. We really need that human bonding and relationship. That emotional weight that comes with learning expectations” –Giovana Carvalho, Managing Director, Teachable
The Expert Exchange thesis in plain language: AI gives everyone access to the same information. The thing it cannot manufacture is the lived experience, judgment, and accountability that come from learning with a human who has actually done the thing. That gap is where creators build their businesses.

Every student who arrives at your course is there for a different reason. Students come from different backgrounds, want different outcomes, and carry very different prior knowledge. And yet most online courses still start everyone at lesson one.
Giovana called out the mismatch directly when the conversation turned to what Teachable is building next.
“Usually you start a course in the same place, but people come from from very different backgrounds, very different intents. I want to learn French because I want to go to Paris and feel like a local. That’s a very different application of the same subject.” –Giovana Carvalho, Managing Director, Teachable
The product bet she’s most excited about: learning paths that let students chart their own course. Not a fixed curriculum, but a system that assesses what each student already knows, where they want to go, and builds an experience around that.
Olivia extended the point from the creator side. Chasing completion rates misses the point entirely.
“The win is: I have this problem, this piece of information unlocked me so I could move forward. Being able to help creators deliver the content that speeds up that learning outcome moment for their student. That's the way they’re going to continue to add value.” –Olivia Owens, Head of Product Marketing & Partnerships, Teachable
What this means for creators: Shorter, more targeted content often outperforms the 50-hour course. Students don’t want volume. They want the specific insight that moves them forward. Learn how to structure your course curriculum to match student intent, not just cover the topic.

The conversation shifted to employee learning, and Anna brought data.
“Recent studies show that employees in the traditional workforce value professional development more than salary. It’s something connected to the value proposition of your brand. When you go to campus to hire talent, you can say: ‘We’re going to invest in your skills. We want to see you succeed.’ Companies doing that are attracting talent, retaining talent, and building careers in a more sustainable way.” –Anna Damico, Head of Sales, Teachable
The barrier used to be budget. Small businesses couldn’t afford dedicated learning platforms for their teams. That has changed.
“You don’t need a large investment to build a learning platform for your employees. You can own a bakery with 25 employees and teach them how to handle daily operations. In the past, very small companies had to outsource everything. The use cases go from fashion to food to upskilling to changing careers internally. Regardless of sector, industry, cohort, seniority. We have a solution for you.” –Anna Damico, Head of Sales, Teachable
Giovana made the cultural argument for why this matters beyond retention numbers.
“Corporate training used to be very stale. Employees are people. Your employees are students and consumers. They want to see what’s out there now, in real time.” –Giovana Carvalho, Managing Director, Teachable
For creators with existing audiences: Olivia pointed out that the same course you’ve built for individual students can be taken to companies. A design course for freelancers, for example, can also be sold to an in-house design team looking to level up. Teachable supports both routes. Read more about how creators use Teachable to sell to organizations.

Anna had a clear answer when asked the question most company videos avoid entirely.
Anna had three answers. Fear of judgment tops the list, followed by striving for perfection and lacking consistency. Those are the traps she sees creators fall into repeatedly. Her take:
“Your first product is going to be very, very bad. Do it anyway. You need to test your methodology, your way of teaching, the appetite of your audience, whether you’re hitting the right persona. If your first launch is a success, you’re very late to this party.” –Anna Damico, Head of Sales, Teachable
Olivia built on that with an identity argument. Too many creators refuse to commit to a direction until everything is figured out.
“A willingness to be bad is critical for being a creator. You have to be willing to put things out there that are not perfect, that are not proven. And I think people don’t speak enough about the mental health side of being a creator. Every single day you’re putting yourself out there to be judged. That should not be ignored.” –Olivia Owens, Head of Product Marketing & Partnerships, Teachable
The practical move: Publish something before it’s ready. Treat your first launch as a test, not a finished product. Collect real feedback. Iterate. The creators who succeed are almost never the ones who waited until everything was perfect.
The most pointed exchange of the conversation came when Giovana raised what she called “the age of AI slop.” If everyone has access to the same tools and generates the same content, differentiation has to come from somewhere else.
“Do you have an opinion? Do you have a perspective? Do you have reasons for why you think this way? The people with the opinion are the people that always edge out for me. Because when something comes up, they’re going to be decisive. They’re going to say: we should do this.” –Olivia Owens, Head of Product Marketing & Partnerships, Teachable
Anna took it to the hiring context.
“In a world of AI where everyone can learn the same things and get the same answers, the human aspects are what will set us apart. When you get five resumes with the same hard skills and the same degree, I need to talk to those people. Don’t try to be the same. It’s not going to be sustainable.” –Anna Damico, Head of Sales, Teachable
For online course creators, this has a direct application. Formulaic content with no clear voice or perspective is already losing ground. The creators building durable audiences right now are the ones with something specific to say, and the willingness to say it.
Related: How to find your niche as an online course creator and build a business around what you actually know.

Giovana asked Olivia directly: how do creators grow right now? Her answer had three parts.
Before chasing new audiences, look at who has already bought from you. What comes next for someone who finished your course. Coaching, a higher-tier program, a community membership. Most creators underestimate what their existing audience is willing to invest.
The same intellectual property you’ve built for individual students can be packaged and sold to organizations. A course for independent designers can become team-level training. A sales methodology course can become onboarding for an entire revenue team. The content is already built.
If you pull your platform demographics, there’s a good chance you already have students in markets you’ve never actively targeted. That’s an audience that found you organically. Olivia’s point: there is probably more value in that global reach than most creators have explored.
For more on audience-building strategy: How to build and grow an audience for your online course.
The conversation covered a lot of ground. A few things stand out as worth carrying forward:
Watch the full Expert Exchange conversation on YouTube, or start your free Teachable trial to see how the platform can support your next move.

The most successful creators on Teachable share one trait that rarely gets discussed: they treat growth as a new problem, not a continuation of the old one.
Getting to a serious revenue milestone requires one set of skills. Staying there requires a different set entirely. Buyer behavior shifts. Student expectations rise. Product ecosystems start to matter more than any single launch. The creators who recognize that shift early are the ones who keep moving.
That recognition is the through-line of Teachable Collective: a two-day invite-only gathering in Los Angeles this April, built for creators operating at scale who want to think seriously about what comes next. Follow along on Instagram for more updates as the week unfolds.
Teachable Select and Elite creators are gathering in LA across two days of studio content, peer exchange, and recognition. Select tier starts at $250K in annual sales. Elite starts at $1M.
The point is not the agenda. Creators at this level rarely get unstructured time with peers who understand the specific pressures of running a knowledge business at scale. That room does not happen by accident.
The Collective brings together 16 of the top Teachable schools, roughly 20 attendees, and that is entirely by design.
At this level, what creators need most is time with peers who understand the specific pressures of running a knowledge business at this revenue level, and direct access to what we are seeing across our top accounts. The Collective is built to deliver both.
The framing we are taking into this day is direct: what got you to your current revenue level is not necessarily what will grow you from here. Early-stage growth rewards volume. Launch, promote, repeat. At a certain point, the ceiling changes. Product depth, student retention, and the actual quality of your learning experience start to drive results more than any promotional push.
Here is what our data consistently shows across our top accounts:
The ManyChat keynote ties directly into this conversation. For many of our top creators, automation is the mechanism that makes consistent revenue possible without the creator being involved in every sale. The keynote covers how that works in practice and what it looks like to build a course business that does not depend entirely on the creator showing up every day.
The following afternoon, we move to the marina. Our Teachable Elite creators board a boat for a cruise along the LA waterfront, with welcome drinks and a fireside chat on the water. After docking, we walk to Cast and Plow for a dinner recognizing the creators who crossed $1M in GMV in 2025.
That milestone is also not a finish line. For most creators who reach it, the moment is closer to a transition. New questions open up: which products are actually driving growth, how the student experience holds up at volume, what the business looks like when it runs without constant creator intervention.
The Collective is invite-only. Most creators reading this are not in the room this round. That is fine.
The thinking behind it applies to every stage. The creator education market is evolving faster than most platforms acknowledge. Buyer behavior is shifting. Students expect more. What constitutes a quality learning experience keeps moving.
We launched the Customer Journey program because creators at $50K need different things than creators at $500K, and both need different things than creators pushing past $1M. The Collective is what that commitment looks like at the top tier. See what the Customer Journey includes when you qualify.
Talk to our team to understand how Teachable can support where your business is heading next.
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If you are a creator with a technical itch, the pitch is almost irresistible: describe what you want, let Claude Code build it, and launch your course platform in a weekend. No monthly platform fees. No revenue share. Total control over the student experience.
That pitch is real. Claude Code genuinely can scaffold a working LMS from your terminal in hours. But working and production-ready are two different things, and most builder-educators find that out the hard way around week three.
This guide gives you the honest version. You will learn exactly how to use Claude Code to build a course platform from scratch, with real commands, real stack decisions, and real code. You will also see precisely where the complexity compounds, so you can make the right call for your business. For context on what happens when that complexity catches up with you, see our companion post: What happens when your vibe-coded course app breaks (and it will).
Claude Code is Anthropic's agentic coding tool that runs directly in your terminal. It reads your entire codebase, writes and edits files, runs commands, and debugs errors, acting as a senior pair programmer with a 200,000-token context window. Yes, it can scaffold a fully functional course platform, including auth, payments, and video delivery. Anthropic's official Claude Code in Action course, available on both Coursera and Anthropic's Skilljar platform, confirms this architecture: you are directing an autonomous agent, not copying snippets into your IDE.
For course creators with some technical confidence, this opens a genuinely exciting door. The typical stack Claude Code reaches for when you ask it to build an LMS:
That is a legitimate production stack. Now let's build with it.
Install Claude Code via npm: npm install -g @anthropic-ai/claude-code. Authenticate with your Anthropic API key, then run claude in your project directory. Claude Code reads your filesystem and starts scaffolding immediately.
Before generating anything, spend 15 minutes writing a CLAUDE.md file in your project root. This is your project memory. Claude Code reads it at the start of every session. Include your stack decisions, naming conventions, and any constraints:
That context file is worth more than any prompt. Claude Code references it across the entire build, keeping your architecture consistent as the codebase grows.
Start the session:
Claude Code will generate a supabase/migrations/ folder with your schema, enable RLS, and write the corresponding TypeScript types. Review the output carefully. The schema decisions it makes here will shape every query you write for the rest of the project.
Tell Claude Code to implement Stripe Checkout for one-time course purchases and Stripe Subscriptions for recurring access. The critical pieces are a webhook endpoint to handle payment events, a Supabase function to update enrollment status, and idempotency logic to prevent duplicate enrollments from webhook retries. Teachable's Get Started with Payments support article is worth reading to understand what a production-grade payment integration looks like in practice.
Payments are where most AI-generated LMS builds introduce their first serious technical debt. Claude Code will implement the happy path correctly, covering customer creation, checkout session, and redirect. Three things it sometimes misses unless you ask explicitly:
Paste the webhook handler above into your Claude Code session and ask it to implement enrollStudentIdempotent against your Supabase schema. It will write the upsert logic correctly when the full context is available.
Use Mux for video hosting rather than self-hosting on AWS S3. Mux handles transcoding, adaptive bitrate streaming, and signed URL protection out of the box. Direct S3 hosting works initially but becomes expensive and complex to secure as your student count grows.
Claude Code will happily generate an S3 upload pipeline. Starting there is not wrong. Here is what you need to know before you ship to real students:
Raw S3 video delivery with CloudFront costs roughly $0.085 per GB transferred. A 45-minute HD lesson runs about 2 to 3 GB. If 100 students each watch it twice in a month, you are looking at $34 to $51 in bandwidth for a single lesson. Scale that across a full course library and the bill surprises people. Mux prices by the minute, not by gigabyte, which makes costs more predictable. Current rates are published on Mux's pricing page and have dropped significantly since late 2025. For a direct comparison of the two approaches, Mux's S3 cost comparison post is worth reading.
Signed URLs expire, which is the right security pattern, but you need to regenerate them on each page load or your video players break mid-session. Claude Code generates this logic correctly, but the expiry management becomes a source of ongoing bugs in production.
Ask Claude Code to scaffold the Mux integration:
Enable Row Level Security (RLS) on every Supabase table before you write a single query. Wiz Research found that 1 in 5 vibe-coded applications have critical security misconfigurations, with disabled or overly permissive RLS policies among the most common. RLS misconfiguration in a course platform means any authenticated user can read any student's data.
The Veracode 2025 GenAI Code Security Report, which tested over 100 LLMs across 80 real coding tasks, found that AI-generated code introduces security vulnerabilities in 45% of cases. Java had the highest failure rate at over 70%. The CLAUDE.md instruction we wrote earlier -- "RLS must be enabled on all Supabase tables" -- handles this if you are consistent. Verify it manually before you launch. In Supabase Studio, check every table in the Table Editor: the RLS toggle should be green.
Your core RLS policies for a course platform look like this:
Feed these to Claude Code and ask it to verify your entire schema has matching policies. It will flag any tables missing coverage.
The complexity that compounds as a custom LMS grows falls into four categories: video bandwidth costs, payment webhook reliability, certificate generation, and EU compliance (GDPR and VAT). Each is solvable. Each also requires weeks of engineering time that grows with your student count, not your feature list.
This is the part nobody covers in the weekend-build tutorials. You shipped. Students enrolled. Things work. Then:
None of these are insurmountable. Each one is a real engineering problem that pulls you away from creating content, building your audience, and running your education business.
A custom Claude Code-built LMS makes sense for technical creators with highly specific requirements: unusual course structures, deep integrations with proprietary systems, or a business model that no existing platform supports. For most knowledge businesses, the maintenance overhead of a custom platform outweighs the platform fees within 6 to 12 months of launch.
The calculus is simpler than it sounds. Add up the hours you spent this month on infrastructure: debugging, updating dependencies, monitoring error logs, responding to student-reported bugs. Multiply that by your effective hourly rate. Compare that number to what a dedicated platform costs per month.
Most creator-educators who run that math end up in the same place. The platform fee is not a cost. It is a salary for a DevOps engineer who never sleeps.
If you have built your proof of concept with Claude Code and validated that students will pay, Teachable is the natural next move. You keep everything you built, your curriculum, your brand, your community relationships, and hand off the infrastructure layer entirely.
Teachable handles Stripe webhooks, video transcoding and video hosting and delivery, GDPR-compliant data management, EU VAT collection, automated certificate delivery, student progress tracking, and mobile optimization. All of it is included in your monthly plan. For a full breakdown of current plan options, see Teachable's 2025 pricing and plan updates. You stop debugging and start teaching.
The Claude Code build was not wasted. It validated your business model, sharpened your understanding of what your students need, and gave you the technical credibility to customize Teachable's integrations intelligently. Build to learn, then switch to ship.
If you are ready to stop playing DevOps and focus on what you are actually good at, start a free trial on Teachable and see how much of your week comes back.
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It starts with a feeling of total power. You open Claude or Cursor, describe your dream course platform, and watch a working application emerge from nothing.
Custom enrollment flows. A branded video player. Payment logic wired exactly the way you imagined. You shipped something real without hiring a single developer.
Then launch day arrives.
A dependency update pushed by an upstream npm package silently breaks your video player at 9:47 AM, twelve minutes after your first students try to log in.
This is the part of vibe coding that nobody talks about on Twitter: the maintenance.
This article covers what actually breaks in a custom-built course platform, why AI-generated code makes those failures worse, and how to recognize when the real cost of "free" software has outgrown your calendar.
(For context on what vibe coding is and why creators are building with it, see our related post: Claude Code vs. Teachable: Which makes sense for course creators?)
Vibe coding is the practice of building software by describing what you want in natural language to an AI model and iterating on the generated code until it does what you need. For course creators, it became a path to custom platforms without hiring developers, often producing a working prototype in days rather than months.
The term was coined by AI researcher Andrej Karpathy in February 2025, and it spread fast. Creators who had spent years frustrated by the limitations of off-the-shelf platforms suddenly had a path to something custom: a course library with their exact UI, payment flows that matched their offer structure, and community integrations built precisely how they wanted them.
For a landing page, a lead magnet, or an MVP you want to test with your first ten students, vibe coding is genuinely effective. The problem appears on every day after that.
The most common failure points in vibe-coded course platforms are dependency conflicts, video player integrations, payment webhook handling, and authentication edge cases. These are areas where the AI writes plausible-looking code that passes a surface test but fails under real production conditions, especially when a third-party package updates without warning.
Here is what actually goes wrong:
A vibe-coded platform runs on a stack of npm or PyPI packages that the AI selected for convenience. AI models do not pin versions the way a disciplined engineer would. When a package in your video player's dependency tree releases a breaking update, even a minor version bump, your player can silently fail. No error page. Just a blank div where your course content used to be.
Hacker News threads from early 2025 document creators hitting exactly this wall. One commenter described it plainly: vibe coding has "exponential levels of difficulty past the simple landing page," with auth and package management as the most common sticking points. When your video player is glued together with three AI-selected libraries that nobody audited for compatibility, any one of them can take your platform down on a Tuesday morning.
AI-generated webhook handlers are particularly fragile. The code often looks correct. It receives the Stripe event, parses the payload, fires an enrollment. What it skips is idempotency logic. A duplicate event, which Stripe sends routinely during retries, triggers a duplicate enrollment or leaves a paying student locked out. Tracking down why one student got enrolled twice and another did not get enrolled at all means reading code that nobody on your team actually wrote. For a clear overview of how payment logic works on a purpose-built platform, see Teachable's Get Started with Payments support guide.
AI-generated authentication code handles the happy path well. Password reset flows that expire in the wrong timezone. Session tokens that fail to invalidate on logout. OAuth integrations that work on your machine but break for students on mobile. These bugs do not surface in a demo. They show up when real people with real devices try to access content they have paid for.
AI-generated code produces roughly 1.7 times more major issues than human-written code, according to a December 2025 analysis of 470 open-source pull requests by CodeRabbit. The code often works on first run but accumulates logic errors, poor error handling, and security gaps that only surface under real usage.
The maintenance problem has two distinct layers.
The first is readability. CodeRabbit's analysis found that readability issues were three times more common in AI-authored pull requests than in human-written ones, the single largest gap in the entire dataset. The AI targets working code, not comprehensible code. Long functions, minimal comments, nested conditionals, inconsistent naming conventions. When something breaks at 2 AM, you are reading code that was never designed to be read.
The second is error handling. AI models routinely omit null checks, skip exception guards, and write error handling that covers the path they imagined a user would take, not the paths real users actually take. A Sonar analysis of leading AI models found that more than 90% of issues in AI-generated code are "code smells," subtle structural problems that do not throw an immediate error but degrade reliability over time.
The maintenance cost is real even for experienced developers. A Harness survey found that 67% of developers reported spending more time debugging AI-generated code. A 2025 METR study found that developers using AI tools were actually 19% slower on real-world codebases, even though they believed they were 20% faster. Code ships quickly. Fixes do not follow that timeline.
When a custom-built course platform goes down, there is no SLA, no rollback mechanism, no on-call engineer, and no support team. You debug alone or pay a freelancer emergency rates to decode code they did not write. Every minute your platform is down is a minute your students are filing chargebacks and losing trust in you as an educator.
Here is the scenario. Two months of building with Claude. Beta students loved it. You open enrollment on a Tuesday morning, send your launch email to 4,000 subscribers, and within fifteen minutes your video player goes blank. An npm package your AI-generated code depended on released a breaking patch at midnight.
The code lives in a GitHub repo you have added to and tweaked but never fully understood. You search Stack Overflow. You ask Claude to debug it. Claude suggests three different fixes, each of which introduces a new error. Two hours later, your launch window is gone. Some students have already asked for refunds.
The New Stack has documented how vibe-coded systems under real load surface failure modes that were invisible during testing, with experts warning of "catastrophic explosions" in 2026 as more production apps built this way hit real scale and real users. The core issue: AI has no awareness of what it does not know, and neither does the creator who prompted it.
The real cost of a custom-built course platform is not the build. It is everything after: developer time to debug AI-authored code, unplanned infrastructure costs, dependency management, security patches, GDPR compliance, and the opportunity cost of your own time spent on DevOps instead of teaching.
Here is what "free" actually costs:
The hidden cost is attention. Every hour spent managing infrastructure is an hour not spent on curriculum, coaching, or building the relationships that make an education business work. You became a creator to teach, not to run your own DevOps operation.
AI models sometimes hallucinate package names, generating import statements for npm or PyPI packages that do not exist or that exist under slightly different names. Attackers have started registering malicious packages that match the names AI models commonly hallucinate. In September 2025, a malicious npm package called "nodejs-smtp" was discovered mimicking the legitimate "nodemailer" library, with 347 downloads before removal. If your vibe-coded app installed it, your students' data was at risk. This makes a vibe-coded production app an ongoing maintenance commitment, not a finished product you walk away from.
Moving to a dedicated course platform makes sense when maintenance costs you more time than building new features, when downtime affects student trust, or when you have outgrown what you can reasonably debug yourself. That is not a consolation prize. That is graduating to infrastructure purpose-built for exactly what you are doing.
The honest framing: you built a custom platform because you wanted control and flexibility. That was a smart instinct for the prototype phase. The value of your education business does not come from your server architecture. It comes from your expertise, your curriculum, and your relationship with your students. Every hour you spend maintaining infrastructure is a direct tax on the thing that actually generates revenue.
Teachable handles the parts of a course platform that are genuinely hard to build well and extremely tedious to maintain: video hosting and delivery via adaptive bitrate streaming, payment processing powered by Stripe with 0% transaction fees on paid plans via teachable:pay, GDPR compliance, student enrollment logic, and certificate generation. The platform maintains 99.9% uptime with a dedicated support team available Monday through Friday, 8 AM to 8 PM ET.
Teachable also supports the business model flexibility that made custom-building feel attractive in the first place. You can sell courses, coaching, memberships, and digital downloads, with bundles, certificates, and learning paths, without patching a single package. The platform is built for creators who are serious about their education business. For a full breakdown of current plans and pricing, see the 2025 pricing and plan updates post.
If maintaining your vibe-coded platform has started to feel like a part-time job, that is useful information. You have validated that students want what you are building. You have proven the model. The smart next move is to stop building the building and start teaching inside it. Start a free trial on Teachable and migrate your existing content to see how much of your week comes back.
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The case looks obvious at first. Claude Code can scaffold a Next.js app, wire up Stripe webhooks, and write a Supabase schema in an afternoon. You have watched the demos and done the math on Teachable’s current Starter plan, and building your own course platform starts to feel like the smarter move. The assumption is that AI can generate the infrastructure, so paying for it feels unnecessary.
This is a question worth answering carefully. The creator economy in 2026 is full of people who are technically capable of building custom platforms, and increasingly reaching for AI tools to do it faster. Some of them should build. Most of them should not. The line between those two groups has nothing to do with technical skill. It comes down to what you actually want to be doing with your time.
This piece walks through both paths in real detail: what it takes to build a course platform with Claude Code, where the hidden costs appear, and how to decide which approach actually serves your education business. No glossing over costs on either side.
Claude Code is Anthropic’s agentic coding tool that runs in your terminal and can write, edit, and execute code across your entire codebase. It can generate the core components of a course platform: authentication, payment flows, content delivery, and student dashboards. Generating the code is only the first step of running a real platform.
Claude Code is available starting with the Claude Pro plan at $20/month, with higher usage limits on the Max plan starting at $100/month. See Anthropic’s current pricing for the latest plan details. It is a capable agentic coding assistant: give it a task, and it will create files, run commands, read your codebase, and iterate on its own output. For technical creators who want to prototype fast, it is impressive.
Here is what Claude Code can realistically scaffold for a course platform in a productive session:
That is a real foundation. If you are building an internal training tool for your company, a one-off cohort program, or a prototype to validate a course idea before investing in infrastructure, Claude Code can get you there in days rather than weeks. The generated code is not always production-ready, but it is a solid starting point for a developer who knows how to review and harden it.
The critical word there is developer. Claude Code accelerates technical work. It does not replace the judgment of someone who understands what production-ready means. If you are not the person who will debug a 3am database connection error, you need that person on retainer before you start building.
A custom course platform built with Claude Code typically costs $80 to $200/month in infrastructure before you count developer time. That is comparable to, or more expensive than, Teachable’s Builder plan at $89/month with 0% transaction fees, once you factor in hosting, video delivery, email, and payment processing.
The comparison that makes building look attractive is usually Teachable’s Starter plan versus a $5 VPS. That is not a fair comparison. Here is what a production-ready custom platform actually requires:
Add it up: $90 to $190/month in infrastructure, before a single hour of your time or a developer’s. Compare that to Teachable’s Builder plan at $89/month with zero platform transaction fees and unlimited student capacity. The cost gap that looked obvious on a napkin disappears under real numbers.
Teachable’s June 2025 pricing refresh introduced four new plans. The Starter plan costs $39/month with a 7.5% transaction fee and one published product. The Builder plan removes all transaction fees for $89/month. Growth and Advanced plans add automation, webhooks, and higher product limits at $189/month and above.
The Starter plan triggers most of the “Teachable alternatives” searches, and the frustration is legitimate. A 7.5% platform fee on top of Stripe’s 2.9% means you are giving up nearly 11% of every sale to get started. On a $200 course, that is $22 per enrollment before you have paid for a single ad.
Here is the full picture of Teachable’s current plans:
Worth noting: bundles, memberships, and community spaces do not count toward your published product limit on any plan. That matters if your business model includes bundling courses or layering in a membership community.
If you are currently on the Starter plan and frustrated by the transaction fee, the honest calculus is this: switching to Builder at $89/month pays for itself at around $667/month in course sales. That is not a high bar for a creator who is actively selling.
Claude Code excels at generating custom integrations, automating repetitive dev tasks, and building one-off tools that no off-the-shelf platform covers: custom onboarding flows, API integrations with existing tools, and internal admin dashboards. It is a force multiplier for technical work, not a replacement for a course platform.
Some real-world cases where building makes sense:
Outside those scenarios, building your own tends to look like cost savings and feel like technical ambition, but functions in practice as a long-running distraction from the actual work of educating people.
The Day 2 problems on a custom course platform include webhook reliability, GDPR compliance, failed payment recovery, video transcoding for different devices, student support infrastructure, and platform security updates. None of these problems are insurmountable, but each one requires someone’s time and attention.
Stripe sends a checkout.session.completed event when a student pays. Your handler has to receive it, verify the webhook signature, update the enrollment database, send a confirmation email, and do all of this idempotently, because Stripe will retry failed events and you do not want to enroll the same student twice or send five welcome emails. Claude Code will write this logic for you. Keeping it running as your traffic grows, your database schema evolves, and Stripe occasionally changes its event structure is ongoing maintenance work.
Raw video files uploaded by course creators need to be transcoded into multiple resolutions for different devices and connection speeds. Mux and Cloudflare Stream handle this automatically. If you are managing your own video pipeline, you are either paying for a transcoding service, which brings you back to the infrastructure cost table above, or dealing with student complaints that videos will not play on mobile.
If any of your students are in the EU, you are responsible for data processing agreements, the right to erasure, and cookie consent flows. A platform handles this infrastructure for you. On a custom build, it is your compliance problem. Claude Code can generate the cookie banner, but the legal exposure from getting it wrong is not a code problem. For a deeper look at what compliance infrastructure looks like in a purpose-built learning platform, see our guide to choosing an LMS for continuing education.
Subscription businesses lose meaningful revenue to failed payments. Teachable’s Builder plan includes automated abandoned-cart emails. On a custom platform, you are building a dunning system: retry logic, failure notification emails, and student communication flows. Skip it and you are leaving money on the table every month.
Dependencies have vulnerabilities. Next.js releases security patches. Supabase updates its client libraries. On a SaaS platform, these updates happen without your involvement. On a custom platform, you are responsible for monitoring, testing, and deploying them, or you are running outdated software that is vulnerable to known exploits.
Each of these is a task that requires someone’s time. For a solo creator running a course business, that someone is you.
Teachable makes sense when your goal is running an education business rather than building platform infrastructure. If you want to spend your time creating content, teaching students, and growing revenue, a purpose-built platform lets you do that from day one.
For most knowledge business creators, the real comparison is not Teachable vs. a custom platform. It is Teachable vs. the opportunity cost of six months of infrastructure work. The platform cost shows up on your credit card statement. The cost of not launching a second course, not improving your content, and not building your student community while you are debugging webhook handlers is invisible, but real. For more on building a course business that compounds rather than stalls, see our guide to making money selling courses.
Teachable’s Builder plan, at $89/month with zero transaction fees, gives you:
That is not a consolation prize for creators who lack the technical skills to build. It is the infrastructure layer that frees you to do the work that actually requires your expertise: designing curriculum and teaching students in ways that actually change what they can do.
The honest peer recommendation here is this: if you are reaching for Claude Code to avoid a $39 Starter plan fee, the infrastructure math does not support it. If you are on the Builder plan and frustrated by a specific limitation, a custom integration, a unique content format, or a workflow your current setup cannot handle, that is when Claude Code becomes useful as a tool to extend your platform rather than replace it.
The builders who get the most out of AI tools are not the ones replacing their course platform. They are the ones using AI to create better content faster, and letting Teachable handle the infrastructure that makes selling and delivering that content reliable. For more on how established creators are using AI to scale their content output rather than their DevOps burden, see how to make money selling courses.
Claude Code is a powerful tool for technical creators who need custom integrations, internal tools, or platform features that do not exist off the shelf. For most course creators focused on growing their education business, Teachable’s purpose-built infrastructure delivers more value than the equivalent time and cost of building from scratch.
If you are evaluating this decision right now:
Most creators land in the second category. The technical capability to build something and the business case for building it are not the same thing, and AI tools, as good as they have gotten, do not change that calculus.
Start your free trial | See Teachable’s plans | Talk to our team
The pitch is seductive. Claude Code can scaffold a Next.js app, wire up Stripe webhooks, and write a Supabase schema in an afternoon. You've watched the demos. You've done the math on Teachable's new Starter plan — $39/month plus a 7.5% transaction fee — and you've decided that building your own course platform is the obvious move. Why pay for infrastructure when AI can generate it for you?
This is a genuinely interesting question, and it deserves a genuinely honest answer. The creator economy in 2026 is full of people who are technically capable of building custom platforms — and who are increasingly reaching for AI tools to do it faster. Some of them should build. Most of them shouldn't. The line between those two groups isn't technical skill. It's about what you actually want to be doing with your time.
This article walks you through both paths in real detail: what it takes to build a course platform with Claude Code, where the hidden costs appear, and how to decide which approach actually serves your education business. No hand-waving, no vendor spin — just the honest picture a senior developer friend would give you over coffee.
Claude Code is Anthropic's agentic coding tool that runs in your terminal and can write, edit, and execute code across your entire codebase. Yes, it can generate the core components of a course platform — authentication, payment flows, content delivery, and student dashboards — but generating the code is only the first step of running a real platform.
Claude Code is available starting with the Claude Pro plan at $20/month, with higher usage limits on the Max plan starting at $100/month. It's a capable agentic coding assistant: give it a task, and it will create files, run commands, read your codebase, and iterate on its own output. For technical creators who want to prototype fast, it's genuinely impressive.
Here's what Claude Code can realistically scaffold for a course platform in a productive session:
That's a real foundation. If you're building an internal training tool for your company, a one-off cohort program, or a prototype to validate a course idea before investing in infrastructure, Claude Code can get you there in days rather than weeks. The generated code isn't always production-ready, but it's a solid starting point for a developer who knows how to review and harden it.
The critical word there is "developer." Claude Code accelerates technical work — it doesn't replace the judgment of someone who understands what production-ready means. If you're not the person who'll debug a 3am database connection error, you need to have that person on retainer before you start building.
A custom course platform built with Claude Code typically costs $80–$200/month in infrastructure before you count developer time. That's comparable to or more expensive than Teachable's Builder plan ($89/month, 0% transaction fees), once you factor in hosting, video delivery, email, and payment processing.
Let's run the real numbers. The comparison that makes the "build your own" option look attractive is usually Teachable's Starter plan versus a $5 VPS — but that's not a fair comparison. Here's what a production-ready custom platform actually requires:
Add it up: $90–190/month in infrastructure, before a single hour of your time or a developer's. Compare that to Teachable's Builder plan at $89/month with zero platform transaction fees and unlimited student capacity. The cost gap that looked obvious on a napkin disappears under real numbers.
Teachable's June 2025 pricing refresh introduced four new plans. The Starter plan costs $39/month with a 7.5% transaction fee and one published product. The Builder plan removes all transaction fees for $89/month. Growth and Advanced plans add automation, webhooks, and higher product limits at $189/month and above.
The plan that triggered most of the "Teachable alternatives" searches this year is the Starter plan — and honestly, the frustration is legitimate. A 7.5% platform fee on top of Stripe's 2.9% means you're giving up nearly 11% of every sale to get off the ground. On a $200 course, that's $22 per enrollment before you've paid for a single ad.
Here's the full picture of Teachable's current plans:
Worth noting: bundles, memberships, and community spaces don't count toward your published product limit on any plan. That matters if your business model includes bundling courses or layering in a membership community.
If you're currently on the Starter plan and frustrated by the transaction fee, the honest calculus is this: switching to Builder at $89/month pays for itself at around $667/month in course sales. That's not a high bar for a creator who's actively selling.
Claude Code excels at generating custom integrations, automating repetitive dev tasks, and building one-off tools that no off-the-shelf platform covers — things like custom onboarding flows, API integrations with existing tools, and internal admin dashboards. It's a force multiplier for technical work, not a replacement for a course platform.
This is the part of the article where we're honest: Claude Code is genuinely excellent at a specific kind of work. If you have a technical need that a platform like Teachable doesn't cover out of the box, it's a powerful tool for filling that gap. Some real-world examples where building makes sense:
Outside those scenarios, "build your own" tends to be a decision that looks like cost savings and feels like technical ambition — but functions, in practice, as a long-running distraction from the actual work of educating people.
The Day 2 problems on a custom course platform include webhook reliability, GDPR compliance, failed payment recovery, video transcoding for different devices, student support infrastructure, and platform security updates. These aren't unsolvable, but each one takes time that isn't going toward your course content.
Claude Code can write the code for your Stripe webhook handler in twenty minutes. Running that handler reliably for a year is a different project. Here's what the production reality looks like once students are paying you money:
Stripe sends a checkout.session.completed event when a student pays. Your handler has to receive it, verify the webhook signature, update the enrollment database, send a confirmation email, and do all of this idempotently — because Stripe will retry failed events, and you don't want to enroll the same student twice or send five welcome emails. Claude Code will write this logic for you. Keeping it running as your traffic grows, your database schema evolves, and Stripe occasionally changes its event structure is ongoing maintenance work.
Raw video files uploaded by course creators need to be transcoded into multiple resolutions for different devices and connection speeds. This is what Mux and Cloudflare Stream do automatically. If you're managing your own video pipeline, you're either paying for a transcoding service (which brings you back to the infrastructure cost table above) or dealing with student complaints that videos won't play on mobile.
If any of your students are in the EU, you're responsible for data processing agreements, the right to erasure, and cookie consent flows. A platform handles this infrastructure for you. On a custom build, it's your compliance problem. "Claude Code can generate the cookie banner" is true — but the legal exposure from getting it wrong isn't a code problem.
Subscription businesses lose meaningful revenue to failed payments. Teachable's Builder plan includes automated abandoned-cart emails. On a custom platform, you're building a dunning system — retry logic, failure notification emails, student communication flows — or you're leaving money on the table every month.
Dependencies have vulnerabilities. Next.js releases security patches. Supabase updates its client libraries. On a SaaS platform, these updates happen without your involvement. On a custom platform, you're on the hook for monitoring, testing, and deploying them — or you're running outdated software that's vulnerable to known exploits.
None of these problems are insurmountable. But each one is a task that needs someone's time and attention. If you're a solo creator running a course business, that someone is you.
Teachable makes sense when your goal is running an education business rather than building platform infrastructure. If you want to spend your time creating content, teaching students, and growing revenue — rather than debugging deployment pipelines — a purpose-built platform lets you do that from day one.
There's a version of the "build your own" conversation where the math genuinely works out. If you're a developer who enjoys the infrastructure work, if you have specific requirements no platform covers, or if you're building at a scale where platform fees represent serious money — building can be the right call. But that's a much narrower group than the Teachable alternatives search traffic suggests.
For most knowledge business creators, the real comparison isn't "Teachable vs. my custom platform." It's "Teachable vs. the opportunity cost of six months of infrastructure work." The platform cost is visible on your credit card statement. The cost of not launching a second course, not improving your content, and not building your student community while you're debugging webhook handlers — that's invisible, but it's real.
Teachable's Builder plan, at $89/month with zero transaction fees, gives you:
That's not a consolation prize for creators who can't build. It's the infrastructure layer that frees you to do the work that actually requires your expertise: designing curriculum, teaching students, and building the kind of learning experience that creates real transformation.
The honest peer recommendation here is this: if you're reaching for Claude Code because you want to avoid a $39 Starter plan fee, the infrastructure math doesn't support it. If you're on the Builder plan and frustrated by a specific limitation — a custom integration, a unique content format, a workflow your current setup can't handle — that's when Claude Code becomes genuinely useful, as a tool to extend your platform rather than replace it.
The builders who get the most out of AI tools aren't the ones replacing their course platform. They're the ones using AI to create better content, faster — and letting Teachable handle the infrastructure that makes selling and delivering that content reliable.
Claude Code is a powerful tool for technical creators who need custom integrations, internal tools, or platform features that don't exist off the shelf. For most course creators focused on growing their education business, Teachable's purpose-built infrastructure delivers more value than the equivalent time and cost of building from scratch.
If you're evaluating this decision right now, here's the honest framework:
Most creators land in the second category. The technical capability to build something and the business case for building it aren't the same thing — and AI tools, as good as they've gotten, don't change that calculus.
If you're ready to stop thinking about infrastructure and start building your education business, Teachable's free trial lets you try the platform before you commit. The Builder plan's zero-fee structure and course delivery tools are worth a real look before you spin up a VPS.
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You launched your course to teach what you know. Somewhere between recording lessons and writing sales copy, you probably gave zero thought to international tax law. Fair enough. Most creators don't, until a student in Berlin triggers an EU VAT obligation or a purchase from Austin adds Texas sales tax to the equation.
Selling digital products across borders creates a tax situation that grows more tangled with every new student in a new jurisdiction. Different states charge different rates. Different countries enforce different rules. Some tax digital courses outright; others exempt certain categories. The compliance landscape shifts constantly, and staying current takes time most creators would rather spend building their next product.
Here's the good news: if you're on teachable:pay, most of this is already taken care of.
The specifics depend on where your students are located, so let's break it down by region.
Teachable calculates, collects, and remits sales tax in every applicable U.S. state under marketplace facilitator laws. These laws require platforms like Teachable to handle sales tax collection on behalf of their creators. If you're on teachable:pay, you don't file state sales tax on Teachable transactions yourself. The platform does it for you, based on where each student is located at the time of purchase.
Value Added Tax is charged automatically on purchases from students in European Union member states and the United Kingdom. Teachable calculates the correct rate based on the student's country, collects it at checkout, and remits it to the appropriate tax authority. For a full breakdown of how VAT works on the platform, see Teachable's EU/UK VAT support article.
Teachable also handles tax calculation, collection, and remittance in 20+ additional countries, including Australia, Canada, India, Mexico, and others. This applies to non-domestic sales processed through teachable:pay. For the full list of supported countries and payment gateway-specific details, check the digital content tax handling article.
All of this runs automatically through teachable:pay. No manual filing. No tracking rate changes in 50 states or dozens of countries.
Creators on Teachable can choose how tax shows up in their pricing. Tax-inclusive means every student sees the same listed price regardless of location, with tax subtracted from the total on the back end. Tax-exclusive means your base price stays the same, but students in taxable regions see tax added as a line item at checkout. Each approach has trade-offs: inclusive pricing creates a consistent buyer experience, while exclusive pricing keeps your per-sale earnings more predictable. You can toggle this in Settings > Taxes. For a deeper look at how this affects your transaction reports, see the tax-inclusive pricing article.
If you're using a Custom Payment Gateway (CPG), the tax situation looks different. Here's what that means in practice:
Creators on CPG can use Teachable's transaction reporting tools to review tax data. Export a CSV from Sales > Transactions and reference the delivery_address_country and non_us_tax_fees columns to calculate what you owe. For more on payment gateway options and what each one includes, see Get Started with Payments.
Teachable covers a lot of ground on tax compliance, but it doesn't cover everything. A few areas where you'll want to stay informed:
Teachable publishes a disclaimer in its own support documentation recommending that creators consult their own tax, legal, and accounting advisors. That's good advice worth repeating here. For details on tax forms and filing requirements, review the Tax Forms on Teachable article.
Take five minutes to confirm your setup. Go to Settings > Taxes and verify that teachable:pay is active, check whether your pricing display is set to tax-inclusive or tax-exclusive, and download a transaction CSV from Sales > Transactions if you want a full record of what was collected and remitted this year. For a walkthrough of your transaction data and export options, see Transaction History and Reports.
Tax compliance gets complicated fast. Teachable's job is to make sure you can focus on building courses, coaching students, and growing your business while the platform handles the tax math in the background.
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You’ve probably already heard of Buy Now Pay Later (BNPL), given that it’s one of the fastest growing payment methods of the last decade. Since 2021, BNPL has seen over 20% annual growth in market share and is expected to be adopted by more than 900 million people by 2027.
The majority of schools on Teachable, especially our top sellers, offer Buy Now Pay Later to their customers.
But how does BNPL even work? What are the benefits, and how can you use it to grow your business?
BNPL providers allow customers to split a purchase into smaller payments over time instead of paying the full amount upfront.
Imagine you’ve created a bundle of courses on a topic in your area of expertise. You’re confident in its value and you choose to offer it for $400.
A prospective customer visits your checkout page and considers buying the bundle, but they can’t afford to pay the full amount right now.

If you’ve enabled BNPL as a payment method, your customer can select a BNPL provider like Afterpay or Klarna and choose a payment plan from a list of options with different installments and interest rates.
The buyer logs in or creates an account with the BNPL provider and finalizes the terms. When approved, they return to Teachable and we confirm their purchase.
Traditional payment plans delay your earnings as you wait for installments from your customers, and more than 60% of payment plan sales end without the buyer successfully completing all payments.
With Buy Now Pay Later, you receive immediate payment in full, regardless of the number of installments or the billing schedule chosen by your customer. Crucially, this also eliminates the risk of failed payments; any payment issues are between the buyer and their BNPL provider. If the buyer misses a payment or fails to complete the payment plan, you still keep your full earnings.
BNPL increases the buying power of your customers, allowing them to buy more of your products or consider higher price points.
Industry estimates expect a 20-40% increase in average order value (AOV) when BNPL is offered, and we see similar trends on Teachable. Comparing schools selling into the same market, on average those with Buy Now Pay Later enabled have an AOV over 60% higher than those who don’t. Schools with BNPL see an up to 15% increase in AOV after enabling the feature.
Missing a preferred payment method is one of the top reasons for cart abandonment. As BNPL becomes more popular, many purchasers expect to see it as an option at checkout, and may reconsider purchasing a product which doesn’t support it.
Not all businesses benefit from BNPL equally, and you may need to update your strategy to make the most of it.
We offer BNPL as a payment method for one-time purchases, and purchasers prefer to use it for higher-priced products.
Explore a pricing model where you offer either an intensive single course or a collection of related products for a single, relatively high price point.
On Teachable, you can use our bundles feature to combine different products into a single, sellable package that can be sold at a premium. That’s a great opportunity to leverage BNPL in your pricing strategy.
Alternatively, if you already have a high price point product that you offer a payment plan model for, consider offering a higher, one-time payment option to replace or supplement it. Your students will have more payment options to choose from, and you won’t have to worry about managing their payment plan.
When implementing this strategy, it’s essential that your students know they can pay in installments using a BNPL provider.
Include messaging on your sales page that lets students know about available payment methods—and that they don’t need to pay the full price upfront if they don’t want to.
If you use a Teachable sales page or product detail page, we take care of this for you with dynamic messaging based on your pricing plan and the student location, so your student knows exactly what BNPL providers to expect, and what options they’ll have:

There’s no better time than the new year to review your pricing and the payment options you offer. Try our Buy Now Pay Later on Teachable this year and see how it can help grow your business!
For more information on how to enable Buy Now Pay Later, eligibility requirements and fees, please visit our Help Center.
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Think it’s too late to sell more this December? Think again.
If you already have an offer and an audience, there’s still time to generate sales—with very little effort—before the year ends. You don’t need a new launch, a new offer, or a big, multi-channel campaign. You just need 30 focused minutes to close open loops.
Below is a practical checklist you can implement today, even if the rest of your team is already in holiday mode.
Pick one product you already have ready to go, for example:
Attach it to your existing offer and position it as an end-of-year extra. That’s it. You can offer added value without building something new.
If you don’t have anything ready to go, don’t worry—you can still make this tactic work for you. Offer a live session as a bonus (like a welcome session or a Q&A) and schedule it for January.
Goal: Make the buyer’s decision feel easier.
This one’s simple: Reopen the same offer you already ran recently. You can use the same page, same checkout, and even the same pricing.
The most important thing is to add a clear deadline and position this moment as the last chance of the year. Just that slight tweak in messaging can drive more sales.
Didn’t run an end-of-year or Black Friday offer? No problem. Just reuse what you already have, even if it’s your evergreen offer.
This works especially well when marketed to people who:
Goal: Help people decide now instead of “later.”
You don’t need a content strategy—just clarity.
Publish or schedule one or two posts that clearly spell out:

Don’t overthink it! Reuse copy from past campaigns. Create a simple Canva layout.
In fact, if you need a little guidance on where to start, we selected a few free Canva templates for you: see here, here, and here.
Goal: Remind the right people that the offer exists.
If people are already logging into your Teachable school, that means they’re already engaged. That’s why the dashboard is prime real estate when it comes to messaging limited-time offers. Don’t miss the opportunity!
Add a dashboard banner aligned with that same “last chance” framing:
You can use the same Canva template you’re using for your social posts, just make sure to resize it so it displays well. The recommended size for the student dashboard banner is 1024 × 576.
Goal: Reinforce the decision without extra effort.
If you want extra motivation to put these ideas into action, the Teachable Sales Challenge is still open!
Keep selling until December 31 and win exclusive rewards, from subscription credits to Creator Grants, and even an all-expenses-paid trip to Brazil to attend one of the world’s biggest creator economy events.

It’s a simple way to stay focused during the final days of the year—using low-effort tactics like the ones above—while keeping momentum going into the new year.

Amie Tollefsrud calls herself a lazy person. She has generated over $11 million on Teachable saying so.
"I am a self-proclaimed, very lazy person." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
Most creators treat that word as the enemy. Amie treats it as the whole strategy.
She runs an eight-figure course business from her bed or a beach club lounger, and she got there by doing less of the wrong work, not more of it. The lazy move, in her hands, keeps turning out to be the smart one.

Before the eight figures, Amie worked a nannying job and felt certain it was not going to be her life. She trained as a nutritionist, started seeing clients one-on-one, and hit the ceiling every service provider eventually hits.
There are only so many hours in a day, and trading them for money never scales.
So she did the lazy thing, which also happened to be the smart thing. Amie took the advice she repeated to clients over and over and built it into an online course that could reach all of them at once.
"That's when I created my first online nutrition course to try and reach and help more people all at once. A little less effort from there." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
She built that first course from a tiny hut in Maui, carrying five figures of debt and using an outdoor toilet. Amie had no business degree, no investors, and by her own account no tech skills. The slick tools creators reach for today did not exist for her, so she sold it without them. Then she ran her first launch.
"One of my first course launches ever, I think I had made like $5,000 in the span of an hour. And I just remember, like, jumping up and down. [It] was the most money I'd ever made at once in my entire life." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire

The nutrition courses worked, and as they kept working, her audience started asking her about something other than nutrition.
"All anybody ever wanted to ask me was, like, how I ran [and] how I built [my] business online, because it allowed me to travel the world and really do all the things that I dreamed about growing up." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
That repeated question was its own market research. Her audience told her what they wanted before she ever built it, the exact validation signal she now teaches her students to watch for.
So she followed it. The nutritionist became the course-creation expert.
That pivot grew into Rebelle Nutrition's eight-figure education business: Online Course Academy, Passive Income Academy, and the program that ties them together, the Lazy Millionaire Method, which has helped more than 4,000 students across niches build profitable courses of their own.
Amie has been on Teachable since close to the platform's earliest days, running the same play on repeat for the better part of a decade: take lived experience, turn it into a course, sell the shift it creates, and let it run.
The throughline from that first nutrition course to the business today comes down to a handful of principles Amie applies every single time. Here are the ones doing the heaviest lifting.


The biggest mistake Amie sees in first-time creators is selling the wrong thing. They list their modules, their PDFs, their hours of video, then wonder why nobody buys.
"When somebody buys a course, they're not just buying the number of lessons or modules or PDFs. They're buying a shift, a shift in how they feel, how they think, what they can do, or what their life is going to look like after the course is finished." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
Amie points to her own dentist as the perfect salesperson.
Curious about Invisalign, she expected a pitch about process and timeline. Instead he showed her a photo of her teeth that day, next to a mockup of her teeth a year later. He simply sold her the result she actually wanted.
"Immediately, I was like, 'Take my money. I want that.'" – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
Amie has her students build what she calls a before-and-after blueprint. They write the student's exact frustration today in the student's own words, then the specific, tangible result waiting on the other side.
The result has to be concrete, never a fuzzy phrase like "feel empowered." It should be something a person could physically point to, like "I don't even need to wear foundation anymore because my skin is so clear," or "I got my 5K down by five minutes." The course becomes the bridge between those two points.
Take action

Selling a shift only works when it gets specific enough that the right person cannot scroll past it.
"Vague doesn't sell. Specific sells. Specific is what makes people stop scrolling. Specific is what makes people pull out their wallets and buy." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
Her litmus test sits in the gap between "Learn how to eat clean" and "A step-by-step guide to clear your hormonal acne in 30 days."
Identical expertise sits underneath both titles. The second one aims at one specific person with a real promise, and that version is the one that sells. Broad offers leave buyers quietly wondering whether the thing is really for them, and uncertainty kills the sale.
"When somebody is not sure, they do not buy. But when your offer is specific, it builds instant trust. It shows people that you know exactly what they're going through and exactly how to help them." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
Amie pushes for a timeframe wherever it stays honest, such as "in 30 days" or "in 90 days," because a clear timeline makes the result feel achievable. She also insists on the buyer's actual language over insider jargon.
Take action

Amie is blunt about why so many capable creators, even ones with big audiences, launch into silence. They guessed.
"You wouldn't want to open a French bakery without knowing if anyone in town likes croissants, right? So same thing here. Let's make sure you're baking what people are actually hungry for." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
Her method skips surveys and spreadsheets.
Amie has creators hold three to five real conversations with people who feel like ideal students, through DMs, email, or a quick call.
The questions stay simple: their biggest frustration with the topic, what they have already tried and why it fell short, and whether a step-by-step course to the result would actually help. Then she listens for the line between polite interest and real urgency.
"We're not looking for perfection, we're just looking for proof. Proof that your idea has legs, and proof that people are already searching for this solution." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
She also reframes the whole exercise so it never feels like begging for approval.
"Validation is not about asking for permission. You are the expert. You have the vision. This is just about making sure that your offer meets people where they are before you invest the time turning it into something amazing." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
Take action

For all the strategy, Amie credits one unglamorous habit above the rest. She ships before it is ready.
"That's also, I think, exactly why I have been successful, because I take action and I launch things actually before they're perfect." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
Her first launch, by her own description, was scrappy and far from what she wanted. It still made $5,000 in an hour.
The creators who never break through are usually the ones tweaking and refining until the moment to launch quietly slips past.
"Launch quickly and fast and let it be imperfect. And also just always go back and iterate, like, there's always something you can make better, and then you can get, like, 1% better every time. And it really, over time, does make a difference." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
That iteration habit also keeps students coming back. Asked what most reliably turns a one-time buyer into a repeat customer, Amie answered without hesitating.
"The results that they get the first time around. So if they feel like you went above and beyond the thing that they thought they were going to get, they're definitely going to come back in for a second time." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
Take action
Amie's revenue does not come from chasing new customers all day. It runs on a system that works without her and pulls more value from every person who already decided to buy.
The top of her funnel is her audience on Instagram, TikTok, and now Substack. From there she offers something free and valuable, a fully automated hour-long masterclass, and sells her program at the end of that training.
Automated email sequences of five to seven messages follow up over the next week with anyone who did not buy right away, paired with a real reason to act now.
The lazy genius shows up in what she layers on top: order bumps and post-purchase upsells.
"Think about, like, when you're at the grocery store and there's all the candy right before you checkout, the people are buying things anyway. So at the last minute, it's a really good time to upsell them on similar items that they might also want." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
Someone who just decided to spend money will spend a little more, so one buyer becomes worth far more without any extra traffic.
"It's just a really easy and lazy way, honestly, to generate more revenue with the same amount of effort. You [don't] have to be continuously, like, chasing down [a new] client. You can just make more off of the one-time purchase." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
Take action
The obvious objection to any course in 2026 sounds simple. Plenty of people ask why they would pay for a course when AI hands over information free.
Amie does not dodge that objection. She agrees that good free information exists everywhere, then explains why it falls short of the real thing.
"[AI] can give you a lot of valuable information, but [it hasn't] actually done the thing in real life and achieved the results that you're looking for. Like a human can." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
Her edge comes from having lived the outcome she teaches, start to finish.
"I actually have achieved the results that I'm teaching in real life. I'm somebody who literally started from zero. I didn't have any money to invest. I didn't even have tech skills... I went through years of, like, struggle and figuring it out and trying things that didn't work and failing. And that was years of experience in real life." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
She sees the same change defining the whole industry. The creators who win next will skip the losing game of competing with a chatbot on facts.
"The next wave of successful course creators will be the ones who are thinking really innovatively about what they can offer and sell that is... offering people more than what they can just go to [AI] and find an answer to." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
In practice, that means pairing the digital course with something only a person can give: community, group support, an occasional live touchpoint, whatever fits the creator's energy and style.
This reframe helps any creator worried that AI made their knowledge worthless. Amie's bet runs the other direction. The more information becomes free and instant, the more valuable a real guide who has walked the path becomes.
"People don't want a robot or a guru or a PhD professor. They want a real person who's relatable and a few steps ahead of them." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
These days, Amie is most excited about Substack, which she started in the past year.
It has become both a fresh revenue stream and a surprisingly strong top of funnel. Readers who find her there often go on to buy her courses, sometimes converting better than social media. Her approach to it stays pure Amie: every post gets treated like a tiny product.
"I look at every article I write almost like a 12-minute course." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
For someone who has done eight figures, she stays remarkably clear that the path was never about being special.
"To be honest, I always imagined that this would be my life... I just had no clue, like, how [I was] actually going to do that." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
The advice she would give the version of herself still working that nannying job is the same advice underneath everything she teaches today.
"Keep going. Let the things that you are excited about drive you. If you feel this excited about something, you're probably onto something. Keep going. Keep doing it, because it's just going to lead you to [the life] that you've always dreamed of." – Amie Tollefsrud, Founder of Rebelle Nutrition and Lazy Millionaire
Get Amie's free playbook: Grab The Profitable Course Playbook on Teachable, where Amie walks through how to find the right course idea, validate it, and build something people actually pay for.
Watch the full interview: See Amie tell her complete story on YouTube.
Explore more from Amie: YouTube | Instagram | Teachable School | Website
Explore more creator stories: Read how other educators are winning on Teachable in our Success Stories collection.
Try Teachable yourself: Amie turned a scrappy first launch into an eight-figure business by selling the shift her students want, validating before building, and refusing to wait for perfect. Start your free Teachable trial and build the course your audience already keeps asking you for.

Kelly McKenna's grandmother was a therapist. Kelly always assumed she would be one too.
She earned a Master of Social Work and an MBA from Florida State University, then spent eight years running programs at a nonprofit, managing over $10 million in federal funding and overseeing housing services for veterans and LGBTQ youth. She was good at the work. She was also exhausted by it.
When she began seeing private therapy clients on the side, she did what she had always done: she worked in the open. She shared candidly about her own anxiety. She celebrated on Instagram when she left insurance panels, filled her caseload, and quit her full-time job.
The account grew because people across the country recognized something in her posts they had never quite seen before: a therapist being a real human.
By the end of her first full year in private practice, Kelly had earned $250,000. Within four years, her revenue across practice and digital products had crossed $1 million annually.
"Creating a private-pay practice didn't just transform my income, it transformed my life. I became a better therapist, a more present wife and mother, and built a business aligned with the life I actually wanted to live." — Kelly McKenna, LCSW, MBA, Founder of Business of Therapy

When Kelly's Instagram audience started growing, so did the demand for her time. She filled her caseload, and quickly other therapists started asking her for help.
Therapists booked coaching calls. They asked how she found clients, how she left insurance, how she thought about pricing. She answered the same questions over and over: how to write a bio, how to structure content, how to set up a scheduling system.
She was managing a full therapy caseload at the same time. The math on one-on-one coaching made no sense as a long-term model. The calls were useful, but there was a ceiling baked into the format.
"There was a clear moment when I realized something had to change. I was receiving more inquiries and coaching requests than I could realistically handle alongside my full therapy caseload. It became obvious that continuing to grow demand without changing my delivery model would lead to burnout." — Kelly McKenna, LCSW, MBA, Founder of Business of Therapy

She had already built her first digital product: an anxiety course that mirrored the work she did in session, structured as psychoeducation followed by ten coping strategies with video lessons and downloadable handouts.
The signal that a course for therapists made sense: therapists kept DMing her asking her for help and booking 1-1 calls. The market had been asking for something before she had built it.
She moved the coaching content into a structured course, kept her therapy clients, and launched what would become the Private Practice Academy Bundle. Teachable was the platform she chose after testing several options. The interface was clean, the pricing was accessible, and the setup was direct enough that she could focus on the curriculum rather than the tech.
"I was drawn to Teachable's strong reputation, clean interface, ease of use, and low prices. After testing the free trial and experiencing how intuitive the setup was, it felt like the right platform to confidently build and scale my digital products." — Kelly McKenna, LCSW, MBA, Founder of Business of Therapy

Kelly did not separate her identity as a therapist from her identity as a business owner. The clinical training she had spent years developing turned out to be directly relevant to every part of her marketing work. Her approach to building the business reflected that.
Kelly's Instagram accounts grew because she said things other therapists in her position were not saying. She talked about her rates. She talked about leaving insurance panels. She documented the process of building a caseload in real time, including the parts that were uncertain.
This was not a calculated content strategy at the start. It was how she naturally worked. Clinical training taught Kelly about rapport and authenticity. Kelly brought that same instinct to her posts.
"As I built my own business publicly, I shared the real-time process including the wins, the pivots, the fear, and that transparency became a core value of my brand." — Kelly McKenna, LCSW, MBA, Founder of Business of Therapy
The result was that both therapy seekers and therapists who found her account recognized themselves in what she was describing. Kelly eventually started a second Instagram page @businessoftherapy. The posts about money and burnout and how to price sessions landed because they named things the profession tends to avoid naming publicly. Her @businessoftherapy account grew from zero to over 50,000 followers since December 2022. And her therapy-focused account @sitwithkelly has grown to nearly 100,000.
Take action
One of the clearest ideas in Kelly's teaching is that therapists already know how to market themselves. They have just never been told to think of it that way.
"Marketing, at its core, is reflective listening — understanding someone's pain, naming it clearly, and mirroring that back to them. That's exactly what therapists do every single day. When therapists learn how to translate their clinical skills into client-centered messaging, marketing stops feeling salesy and starts feeling aligned." — Kelly McKenna, LCSW, MBA, Founder of Business of Therapy
This reframe is the engine behind everything she teaches. Therapists arrive at her course convinced they have no marketing ability. They leave understanding that the skill they have been practicing in session for years, hearing what someone says, reflecting it back clearly, identifying the underlying need, is exactly the skill that makes marketing work.
The practical effect is that her students do not have to become different people to grow their practices. They apply what they already know in a different context. For many of them, that shift alone changes their relationship to the whole idea of putting themselves out there.
Take action

Kelly's first digital product, the anxiety course, was priced as a low-ticket entry point. The Private Practice Academy Bundle went in the opposite direction.
The original presale price was $447. Then $597. When she rebuilt and rebranded the course and added substantial new content, the price moved to $1,397. She runs regular launch pricing at $997, which is still a meaningful investment for most buyers.
"I firmly believe therapists are naturally some of the best marketers but they just don't realize it. Every therapist deserves to make six figures." — Kelly McKenna, LCSW, MBA, Founder of Business of Therapy
The pricing reflects the outcome on offer. A therapist who fills her caseload with private-pay clients at $250 per session and sees 15 clients a week earns over $190,000 a year. A course priced at $997 that delivers that result is not expensive relative to the change it produces. Kelly's students grasp that math, and the student messages in her submitted materials show the results: first condos purchased, debt paid off, babies born without financial anxiety.
She has also been direct about one misunderstanding she pushes back on consistently: the idea that digital products are passive income. The Private Practice Academy Bundle has gone through two major curriculum overhauls and quarterly updates since launch. The 1,000 students it has served received a living product, not a recording that sat untouched.
"The most profitable digital products are the ones that actually get people results. And that requires work. You should constantly be evolving your digital products as you learn more and get feedback from customers. Not necessarily to add more material, but to simplify and speed up what folks need to do to get the desired result." — Kelly McKenna, LCSW, MBA, Founder of Business of Therapy
Take action
The Private Practice Academy Bundle is a one-time purchase. The Reels Membership is a recurring subscription that gives therapists a steady stream of content ideas and templates for Instagram.
Kelly launched the membership in January 2021, generating over $413,000 with around 800 active members at any given time. The two products serve different needs without competing with each other. The course teaches the full system. The membership handles the ongoing execution problem that most therapists hit after they understand the strategy but struggle to maintain consistency.
"I'm constantly evolving the PPA Bundle. I see the course as a living resource that adapts alongside the therapists it serves." — Kelly McKenna, LCSW, MBA, Founder of Business of Therapy
Kelly’s ran two 4-day flash sales so far this year. The February 2026 PPA flash added 34 new therapists while the April 2026 Reels Membership flash sale added 51 new members. Running both products creates a flywheel: students who find the course often convert to the membership for ongoing support, and membership subscribers who want the full picture often upgrade to the course.
Take action
How Kelly thinks about scaling without losing the clinical foundation
Kelly holds two credentials that rarely appear together: a clinical social work license and an MBA. For most of her career, those two things lived in separate worlds. The clinical work was about presence and relationship. The business degree was about strategy and systems. Building her practice and then her education business forced her to understand that the division was artificial.
The same skills that make a therapist effective in session, hearing what is actually being said, identifying the real need underneath the presenting problem, creating a feeling of safety, are the skills that make marketing work. She did not just teach this as a concept. She built her own business by treating her Instagram audience the way she would treat a client: with honest attention to what they were actually struggling with.
"My background as a therapist has deeply shaped my teaching style. In clinical work, authenticity and relational safety are everything. People grow when they feel seen, not talked down to. I bring that same philosophy into my content and teachings." — Kelly McKenna, LCSW, MBA, Founder of Business of Therapy
She is also careful about what she promises. Students who move through the course quickly and implement consistently see results within weeks. Students who delay implementation see results that match their pace. She does not dress this up:
"The timeline depends less on the material itself and more on how quickly someone takes action. Those who implement consistently tend to see momentum build quickly." — Kelly McKenna, LCSW, MBA, Founder of Business of Therapy
The student messages Kelly shared in her case study application are not about follower counts or viral posts. They are about what financial stability makes possible.
One student wrote: "Since starting my own private practice and having some private pay clients I have been able to buy my first condo and get myself out of credit card debt."

Another shared this: "PPA is the best business investment I've made. It has seriously changed my life and business. I've already doubled my income while remaining part-time so I can spend time with my kids."

A third described finishing her first year in practice: "I used to talk to friends about feeling afraid that as a therapist I'd never be able to afford to pay my student loans and have a baby. I've now had my first baby and was able to do all the home prep and prenatal yoga without being budget-anxious. Kelly's reels membership, PPA, and VIP have been crucial to navigating both the logistics and mindset pieces to make this possible for my first year in business."

"The feedback that has meant the most to me isn't about follower growth or even revenue, it's about how therapists have been able to change their lives. When a therapist tells me they've bought their first home, paid off debt, doubled their income while working part-time, or finally felt financially secure enough to start a family, that's what stays with me." — Kelly McKenna, LCSW, MBA, Founder of Business of Therapy
Kelly lives in Miami with her husband Tom, their son Aidan, and their dog Jozi.
The Business of Therapy podcast launched in 2024 and added another channel for reaching therapists who prefer audio and longer-form content. She continues updating the Private Practice Academy Bundle on a quarterly basis at minimum, with major curriculum overhauls when the material needs it. The course is now on its second significant rebuild since the original launch.
Her stated goal is direct: every therapist deserves to make six figures. The financial sustainability she describes is not aspirational framing. It is the specific outcome she has built her entire curriculum to produce, starting from her own first year in private practice when she earned $250,000 without having built anything like this before.
Explore Kelly's work:
Visit businessoftherapy.com to access the Private Practice Academy Bundle, the Reels Membership, and Kelly's free training on marketing a therapy practice on Instagram.
Connect with Kelly:
Try Teachable yourself:
Kelly moved from one-on-one coaching calls to a course that has served over 1,000 therapists. Start your Teachable trial and build the product your audience has been asking for.
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What separates a good teacher from a great one has less to do with what they know and more to do with how they make someone else understand it. Two of Teachable's most successful educators decided to find out the hard way.
Dan George (FAA Gold Seal CFI, founder of FlightInsight, and aviation instructor to 10,000+ students across 60+ countries) and Wasim Asghar (licensed Professional Engineer in the US and Canada, founder of Study For FE, and author of 8+ engineering exam prep books) sat down across from each other and agreed to teach a foundational concept from their own field to the other. Then they had to teach it back.
The result is the debut episode of Cross-Exam, a new Teachable series where two expert educators swap roles. What the teach-back reveals about learning, retention, and the gap between knowing and explaining is worth paying attention to.

Dan opened with the lift equation: Lift = Coefficient of Lift x (1/2) x air density x velocity squared x wing surface area.
He walked through each variable, but kept coming back to velocity. Because it carries an exponent, small changes in airspeed affect lift far more than equivalent changes in any other factor.
Before getting into the equation though, Dan had to dismantle something first.
"If I slow the aircraft down, I can maintain my altitude by increasing angle of attack… I call this the Star Wars conception of how things fly. You point the ship in a certain direction and it just goes there at an angle." — Dan George, founder of FlightInsight

Naming the wrong model before replacing it is a teaching move that works better than most educators realize.
Once the flawed assumption is on the table, students will let go of it. Before it is named, they hold onto it quietly and build misunderstandings on top.
Wasim covered Ohm's Law: V = I x R, voltage equals current times resistance.
Rather than define the variables abstractly, he built the whole thing around a water pipe.
Voltage is the pressure difference between two ends. Current is the rate of flow. Resistance is whatever obstructs it.
"If there's dirt in here, if there are obstacles, rocks, pebbles, they're going to impede the flow of current." — Wasim Asghar, founder of Study For FE
From there, he went after the most persistent misconception in electrical safety: that voltage is what kills you.
It is actually current.

Roughly 40 milliamps through the body is a guaranteed fatality. A coffee maker draws about 1,000 milliamps. The lethal threshold is two to five percent of what runs through a kitchen appliance.
"It's not the voltage that is dangerous. It's really the current." — Wasim Asghar, founder of Study For FE
A bird sitting on a 1,000-volt transmission line survives because the voltage difference across its two feet is zero.
For anyone building a course on a technical subject: definitions without physical anchors give learners nothing to hold onto.
A concrete system they already understand gives the new concept traction.
Both Dan and Wasim have taught their subjects hundreds of times. What this episode showed is how both of them have rebuilt their explanations around the most common misunderstandings rather than the most logical starting points.
Dan leads with the lift equation because it forces students to confront the variables that actually matter in the cockpit. Wasim leads with the water pipe because it replaces the assumption that voltage is dangerous with the fact that current is.
A 2008 study by Kornell and Bjork found that retrieval practice, having learners reconstruct material from memory rather than passively review it, produces significantly stronger retention than re-reading alone. Cross-Exam runs that experiment in real time.
Dan described what happens when he teaches the same material over and over.
"Every time I do it, it gets a little bit different. I can always rediscover some kind of a new insight or some new way of teaching." — Dan George, founder of FlightInsight
Dan built FlightInsight into a school with over 10,000 students by publishing twice a week, every week, for four years. His full creator case study gets into how that consistency turned into a real business.
Wasim built Study For FE on the same principle. His reframe that current determines electrical danger is the kind of correction that sticks because it runs counter to what most students walk in believing.
Dan and Wasim both teach on Teachable. Between them they have built course libraries that reach students in dozens of countries, in fields where getting the material wrong carries real consequences.
Both of them became better teachers by treating their explanations as working documents rather than finished products.
Watch the full episode of Cross-Exam.
Want to know more about this episode’s guests?
Follow Dan George: YouTube | Website | Teachable School | Instagram | LinkedIn

Follow Wasim Asghar: YouTube | Website | LinkedIn

Teachable gives you courses, coaching, digital downloads, and memberships in one place. See plans and pricing.
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In March 2026, my team ran a survey to find out more about Teachable students: how they’re finding courses, what drives them to buy courses, what they value the most in their learning experience, and more.
One finding especially stuck out to me. When we asked people what makes them actually finish a course, the top answer wasn’t better videos or interactive elements. It was clear milestones and progress tracking. Sixty-six percent of students named it the #1 factor.
That tells us that the biggest opportunity for online educators isn’t necessarily in making better courses. It’s in better structure.
That’s where Learning Paths come in. Brand new to Teachable, Learning Paths allow you to turn your existing courses into structured, multi-course programs.
There’s undeniable value in a great standalone course: students learn real skills, get real value, and walk away better than they came in. But a single course can only take a student so far. There’s a ceiling on the transformation one course can deliver, no matter how good the content.
For the student, an isolated course can lack the depth and a defined arc they need to make a meaningful transformation. And that can cost you down the line. A student who doesn’t feel like they got results doesn’t come back for the next thing, doesn’t refer their friends, and doesn’t become the kind of long-term customer your business needs for sustainable growth.
Learning Paths can help raise that ceiling. Instead of selling a single course and hoping it carries a student all the way to a meaningful outcome, you’re delivering a program with a clear beginning, a defined progression, and an end state student can actually point to.
The courses you’ve already built do more, because they’re working together.
Here are two more numbers from the same survey:
Repeat purchase intent is high, and most students aren’t asking for a community or a workbook or a cheaper option. Instead, they want the next level of the thing they just finished.
Learning Paths essentially let you give that to your students from the start. If repeat purchase intent is high, we can also assume that students’ willingness to buy a higher ticket product—one that includes the advanced coursework they’re after—is there too. So your work is less about convincing them and more about actually building the thing.
It’s safe to assume a higher price tag for a Learning Path than a course because it includes, well, multiple courses. It’s simple math. But let’s dig deeper: it’s more of a positioning shift than a product shift.
A course says: here’s a topic I’ll teach you.
A program says: here’s a transformation, and these are the stages you move through to get there.
That reframe alone justifies more premium pricing. It’s the difference between “I bought a yoga course” and “I enrolled in a 200-hour teacher training.”
You’re selling your same expertise, just packaged differently. The way you market your learning should be less about content and more about outcomes.
Best of all, you can build a Learning Path from your existing course catalog. The work is in deciding what comes after what, defining the outcome the full sequence delivers, and pricing it like a program rather than the sum of its parts.
Many course creators assume their next jump in revenue has to come from a bigger audience. Sometimes it does. More often, it comes from giving the audience you already have the more advanced options they want.
That’s what Learning Paths are built for: turning the courses you already sell into a structured program students can buy as one thing, complete in the right order, and finish with a real sense of accomplishment.
Note: Learning Paths are currently available in beta. To request to join the beta group, complete this form.
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Open any feed right now and you'll find a thousand people explaining AI. Most of them are explaining the same five tips. Very few are showing you what it looks like to actually use these tools to run a business.
That's the gap we built Teachable AI Academy to close.
It's a live workshop series. We bring in creators and experts who use AI every day, and we put them in front of you to teach the exact systems and workflows behind their work. The first sessions kicks off on June 15, 2026, and the full lineup carries into August 2026.
Every session is free to attend. Each one is hosted live, and we record all of them, so the replay is waiting on Teachable whenever you want it.
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AI Academy is a run of live, online workshops. More than 20 AI creators and experts are on the schedule, and each one picks a topic straight from their own work.
They teach it live, in real time, and they leave room for your questions at the end.
The people teaching have built audiences in the millions and run real businesses with these tools. So the advice you get is grounded in what they actually do day to day.
We host every session, and we keep the replay up afterward. That means the library grows every week as new workshops go live.
Here's how we see this moment. AI made information instant, and that made the hunger for real skill sharper than it has ever been.
People want to build things. They want to change careers and pick up abilities that have nothing to do with what they trained in. We call this the Learning Renaissance, and we think it's the most exciting thing happening in education right now.
The hard part is knowing where to start. When everyone is posting at once, it's tough to know whose advice you can trust.
AI Academy is our answer. We put practitioners you can trust on a set schedule, each teaching one concrete thing you can use.
This is showing up in the data, too. In its 2025 Workplace Learning Report, LinkedIn found that 71% of learning and development professionals are already exploring, experimenting with, or integrating AI into their work.
That number is worth sitting with for a second. The people whose entire job is teaching skills are moving on AI right now, and AI Academy is built for everyone trying to keep pace with them.
Once you learn something in a session, you can put it to work inside Teachable. Our own AI features sit right in the platform, so the courses and content you build benefit from the same tools.
The first wave of workshops runs through June, and each session below is open for registration now.

Charlie Hills, June 15 at 1:00pm EST. The AI-powered content system for personal branding. Charlie Hills grew from zero to more than 200,000 LinkedIn followers using a repeatable, AI-assisted content system. He breaks down the tools and workflows he uses to generate ideas, speed up production, and turn attention into business, all while keeping his own voice in the output. If you want background reading first, Teachable has a guide on how to build a personal brand.

Katia Smith, June 17 at 1:00pm EST. Filling the AI gaps: from prototype to product launch. Katia Smith is a former Microsoft engineer and the founder of Second Life Software, where she turns rough, AI-built prototypes into products ready for real users. She walks through the five gaps AI coding tools tend to leave open, including security, error handling, and what a user sees when something fails, using real before-and-after examples from her agency work.

Sandra, June 22 at 1:00pm EST. Ship AI-built apps without shipping risk. Sandra is a cybersecurity educator with a following of more than 550,000 security and IT professionals. She shares the flaws that ride along with fast, AI-built apps, from exposed API keys to weak authentication, and gives you a seven-point checklist you can run on anything you build before it goes live.

Anna York, June 24 at 1:00pm EST. How to become the source AI recommends. Anna York is an AI Visibility Architect and the founder of Citation School, recognized as a LinkedIn Top 12 AI Voice in Europe. She studies how tools like ChatGPT and Perplexity decide what to recommend, and she walks through her keyword research process for AI search, showing how to turn one question into a full content plan.

Mariana Antaya, June 29, 2026 at 1:00pm EST. Your first machine learning model. In 40 minutes.. Mariana is a former AI Product Manager at Microsoft who now ships her own machine learning models and teaches a community of more than 700,000 people. In 40 minutes she takes raw, messy e-commerce data and builds a model that answers a real business question: will this customer buy again in the next 90 days. You'll walk away with the working model, the code behind it, and a process you can reuse on any dataset.
June 2026 is only the opening stretch. New workshops drop every week through August 2026.
Names already on the schedule include Mariana Antaya, Sai Kumar, Sundas Khalid, Sadie St. Lawrence, Anjali Viramgama, Ale Thomas, Tina Huang, and Matt Wolfe.
The topics run wide: building your first machine learning model, learning data analytics with AI, building AI agents for everyday work, and using AI with more intention. We add new dates to the AI Academy page as each session locks, so it pays to check back.
One more thing worth knowing. A lot of the people teaching also sell what they know on Teachable, and any creator can do the same. Courses, coaching, memberships, and digital downloads all run on one platform, with payments handled through teachable:pay.
Registration is open for every session on the AI Academy page.
Pick the workshops that fit what you're building, save your seat, and add them to your calendar. If a date passes before you get to it, the replay will be waiting for you on Teachable.
Head to the AI Academy page to see the full schedule and register for the sessions you want.

You've built the knowledge. You've mapped out the curriculum. You've maybe even recorded a few lessons. Now comes the question no one told you would be this consequential: where does your course actually live?
The answer isn't just a technical detail. The platform you choose to host your course determines how reliably students can access it, how securely your content is protected, how your brand shows up in the world, and how much control you retain over everything you've built. Get it wrong, and you're dealing with slow video loads, content security risks, and a URL that ends in someone else's name. Get it right, and your course business runs quietly in the background, 24 hours a day, 7 days a week, while you focus on teaching.
This guide breaks down exactly what a course hosting platform is, what separates a strong one from a weak one, and how to evaluate your options before you commit.
Before we get into features and comparisons, it's worth getting clear on what hosting means, because the word is often used loosely in ways that obscure the real decision you're making.
When you host a course, you're choosing a technical infrastructure to store and deliver your content: your videos, your PDFs, your quizzes, your lesson pages. That infrastructure determines load times, uptime, content security, and scalability. It's the foundation everything else is built on.
A course hosting platform is a service that manages this infrastructure on your behalf. You upload your content. The platform stores it, compresses it, distributes it through a delivery network, and makes it accessible to your students anywhere in the world. The best platforms also layer on the tools you need to actually run a course business: enrollment management, payment processing, custom branding, analytics, and student communication.
Here's a distinction that changes everything about your business model.
A course hosting platform gives you control. You set your own pricing, own your student list, and build under your brand. The platform provides the infrastructure. You run the business.
A course marketplace, such as Udemy or Skillshare, is different. The marketplace hosts your content, but they also control the pricing, take a significant cut of your revenue, often 30–50%, and own the relationship with your audience. Your students are their students. Your traffic belongs to their platform.
The shift away from marketplaces is a growing trend among serious creators, and for good reason. When you learn what you can build and sell on Teachable, the picture becomes clear. Building under your own brand, on a platform you control, is the sustainable path.
Here is the thing about infrastructure: it's invisible until it breaks. When it breaks, whether that is a video that will not load, a checkout page that is down during a launch, or a student who cannot access the course they just bought, you feel it directly in your revenue and reputation.
The global online learning market continues to grow rapidly, with EDUCAUSE and major research organizations tracking sustained enrollment growth across every segment of online education. More creators are entering the space every year. That raises the bar. Students have options, and a technically unreliable experience sends them elsewhere.
So what does strong hosting infrastructure actually look like? Six factors matter most.
Video is the heart of most online courses, and it's the heaviest technical lift. A five-minute HD video can easily be several gigabytes. Multiply that across a full curriculum, add students in multiple countries streaming simultaneously, and you understand why video delivery is where platforms either earn trust or lose it.
What you want in a video hosting setup:
Video delivery quality directly affects your completion rates. Students who experience buffering or failed loads do not persist through the course. They abandon it.
Uptime is the percentage of time your course platform is up and available. It sounds abstract until you realize that a platform with 99% uptime is down for roughly 87 hours per year. For a creator running live cohorts or a course that is actively generating revenue, 87 hours of downtime is a serious problem.
Look for platforms with published uptime commitments of 99.9% or higher, along with transparent incident history.
Your course content has commercial value. It is your intellectual property and your revenue source. Your students' personal and payment information is also on the line. Security is not optional.
The markers to look for:
Your course school lives at a URL. That URL tells your audience a lot about you. A school at yourname.teachable.com communicates something different from courses.yourname.com. Only one of those options is building long-term brand equity.
A strong course hosting platform gives you a custom domain on any paid plan, with no subdomain that includes their brand name. The DNS setup should be well documented, and the platform should automatically provision SSL for custom domains so your students see the padlock, not a security warning.
Hosting video is table stakes. The best platforms also support a full range of educational content formats, because diverse content types are not just about preference. They are about learning science.
Research on online learning consistently shows that courses using multiple modalities, including video, text, audio, quizzes, and downloadable resources, produce better learning outcomes than single-format courses. Your hosting platform needs to support the full curriculum you want to build.
Look for support across:
Hosting your content is only valuable if you can control who sees it and under what terms. Strong hosting platforms give you granular control over content access:
Before committing to a platform, run it through these questions:
If a platform cannot clearly answer any of those questions, that is your answer.
For a deeper look at how to evaluate your options overall, our guide to choosing an online course platform walks through the full decision framework, from pricing to marketing tools to payment processing.
Teachable is built as a course hosting and selling platform, and the technical infrastructure behind it reflects that purpose. Here is what is running under the hood.
Teachable runs on Amazon Web Services (AWS), one of the most reliable cloud infrastructure providers in the world. AWS powers a significant portion of the internet's most critical applications and provides enterprise-grade reliability, redundancy, and global availability.
Video content on Teachable is hosted and delivered through the Hotmart Video Player, a purpose-built video delivery system that handles compression and adaptive delivery automatically. When you upload a video, the player generates multiple resolution versions ranging from 240p through 1080p. Playback quality adjusts to each student's connection speed without any manual encoding on your end.
Teachable supports video file uploads up to 20GB, which provides enough headroom for high-quality, full-length lessons across a multi-module curriculum. You can also add subtitles and automatic translations directly within the player.
If you prefer to use external video sources, Teachable also supports embedding Vimeo and YouTube videos via a custom code block, which is useful if you are hosting supplementary or preview content elsewhere.
Teachable strives for and generally exceeds 99.99% uptime for both instructors and students. Your school runs continuously. There is no office-hours model where your courses are unavailable. Students can access content at 2 a.m. in Berlin as reliably as noon in New York.
Every Teachable school, including those using custom domains, receives automatic SSL certificate provisioning. Your school is HTTPS by default. There is no manual setup, no third-party SSL service to purchase, and no renewal to remember.
This also matters for SEO. Google factors HTTPS into search rankings, which means a securely hosted school performs better in organic search than an equivalent HTTP site.
Teachable holds a SOC 2 Type II accreditation, which is a rigorous third-party security audit that reviews not just a single snapshot of security controls but their effectiveness over time. SOC 2 Type II covers how customer data is stored, accessed, monitored, and protected across Teachable's infrastructure, software, policies, and operations. It is the standard security benchmark for serious SaaS platforms.
Teachable is committed to full compliance with the EU General Data Protection Regulation (GDPR), which governs the rights of EU citizens over their personal data. If any of your students are based in Europe, and for most creators some will be, GDPR compliance is not optional. Teachable handles the compliance framework so you do not have to build it yourself.
Videos on Teachable include enhanced piracy protection built in. You can also control download availability at the individual file level and toggle off the download link for specific lessons if you want students to consume content within the platform only. Combined with enrollment-based access control, your content is accessible to paying students and protected from everyone else.
On any paid Teachable plan, you can connect a custom domain to your school. You can maintain up to 10 domains in your account, which is useful if you are running multiple brands or testing domain strategies, with one set as your primary. Teachable provides full documentation for DNS configuration, including guidance for schools using Cloudflare for domain management.
The result is simple. Your school lives at courses.yourname.com, not at a URL that promotes someone else's platform.
Teachable's hosting supports everything that goes into a complete course:
If you are ready to take the next step, here is how to create an online course, from curriculum design through uploading and launching. When you are ready to go live, publishing your first course on Teachable walks through the final setup steps.
Even with the right platform, a few hosting mistakes are common enough to flag upfront.
Using a marketplace when you need a platform. If you want to build a real business instead of just earning supplemental income, you need ownership over your audience and brand. Marketplaces trade control for traffic, and it is usually a bad trade.
Ignoring video file quality: Uploading compressed or low-resolution video to save upload time creates a permanently inferior experience for students. Record and upload at the highest quality your budget allows. Let the platform handle compression for delivery.
Skipping the custom domain: Your default platform URL is fine for testing, but it is not fine for launch. A custom domain costs under $20 per year and dramatically improves how your school is perceived. Set it up before you go live.
Forgetting about mobile: Most of your students will access your course on a phone or tablet at some point. A good course hosting platform delivers content responsively across screen sizes. Test on mobile before you launch.
Not checking what happens to your content if you leave. Before you commit to a platform, understand the export and migration policy. You should own your content and be able to take it with you.
Your course is only as good as its delivery. The most thoughtfully designed curriculum in the world falls flat if students hit buffering video, get a browser security warning, or can't find your school because you're buried under someone else's branding.
Choosing the right course hosting platform isn't a technical decision you make once and forget. It's a foundational business decision that determines how reliably you can serve your students, how securely your content is protected, and how much of your business you actually own.
The good news: when the infrastructure is solid, you stop thinking about it. You create. Students learn. The business grows.
Over 150,000 creators have built their course businesses on Teachable and we havecontributed to over $10 billion in creator earnings globally. Start your free trial and see what it means to host your course on infrastructure built to last.
Anjali Viramgama is a software engineer and AI educator featured in Forbes and LinkedIn News who teaches thousands how to break into tech and build with AI. In this session, she breaks down how to build your first AI agent from scratch cutting through the hype with a practical, beginner-friendly walkthrough from idea to working agent.