The Mentorship Model: How Victor Damásio scales high-ticket education businesses

Published: Dec 16, 2025

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Building a scalable education business isn’t about producing more content. It’s about designing a structure that allows scalable growth, and that delivers real transformation for the right students.

That’s the foundation of The Mentorship Model, the final December webinar led by Victor Damásio, one of the most recognized mentorship and high-ticket education experts in the creator economy.

Victor has helped creators and entrepreneurs reach consistent 7-figure results, working with mentees in 20+ countries. His approach to mentorship isn’t theoretical, it’s built from years of execution, iteration, and direct involvement in high-stakes education businesses. In this session, he shared how creators can layer mentorship on top of existing products to scale revenue, impact, and clarity.

Why Victor’s perspective carries weight

Early in the session, Victor made one thing clear: most creators don’t have a content problem, they have a structure problem.

He’s worked with creators who already have:

Audiences
Proven products
Strong demand

Yet they feel stuck because growth depends on launches, personal time, or endlessly creating “the next thing.” Mentorship, in Victor’s words, is what allows creators to stop restarting and start compounding.

From selling knowledge to guiding decisions

A recurring idea throughout the webinar was that information alone doesn’t create change.

Victor emphasized that:

Courses transfer knowledge
Mentorship transfers judgment

At higher levels, students aren’t looking for more content, they want help deciding what to do next, what to ignore, and how to execute with confidence. This is where mentorship becomes the natural evolution of an education business.

Why group mentorship outperforms 1:1

One of Victor’s strongest arguments was against defaulting to 1:1 as a premium solution.

He explained that:

1:1 scales time
Group mentorship scales transformation

In group settings:

Patterns repeat across businesses: Similar businesses run into similar walls. A single answer often applies across multiple situations, which helps the group spot the real constraint instead of debating surface-level tactics.
One answer often applies to many people: A mentor’s best corrections are reusable. Group delivery lets one correction land for many mentees who share the same blind spot, even when they ask the question differently.
Learning accelerates through shared context: Progress becomes visible in a cohort. Visible execution raises the standard fast. The group sets pace, and pace shapes behavior.

As Victor put it during the session, people don’t just learn from their own questions, they learn from everyone else’s. That collective pattern recognition creates faster clarity and fewer blind spots.

The demand is already there. You’re just not serving it

One line from the session resonated strongly with attendees:

Inside every group, there’s always a smaller group eager to pay more to get more.

Victor explained that most creators already have mentorship demand, but it shows up indirectly:

Repeated questions
Requests for feedback
DMs asking for “just a bit more help”

Mentorship isn’t about pushing people up the ladder. It’s about making the next step visible and intentional for those who are already raising their hand.

Designing a value ladder that actually works

Another key theme from the webinar was the relevance of pricing, positioning, and energy.

Victor stressed that mentorship only works when it sits inside a clear value ladder:

Entry offers build trust and momentum
Core programs deliver structured results
Mentorship focuses on execution, accountability, and decisions

When each level solves a different depth of problem, mentorship doesn’t cannibalize other products—it completes the ecosystem.

How to price a mentorship

Victor was explicit about pricing: mentorship is not priced on content alone—it’s priced on access, responsibility, and outcomes.

That’s why strong mentorship offers typically include:

Live guidance and feedback
Smaller, intentional groups
Clear commitments from both mentor and mentees
Application-based enrollment

Saying “no” is part of the model. According to Victor, filtering for readiness isn’t about exclusivity, it’s about protecting results and delivery quality.

Three practical realities shaped the pricing decisions Victor described:

Access to the mentor changes speed of execution
Group size changes the depth of feedback
Screening protects outcomes for everyone in the room

Application-based enrollment shows up here as a tool. A strong filter keeps delivery clean, retention high, and the mentor focused on the right clients.

Victor showed his own offer ladder as a reference point, with clear price anchors and clear delivery commitments.

Entry program around $5,000, delivered as an eight-week live program with his team
Mentorship around $10,000, delivered as two group mentorship sessions per month for 12 months
Mastermind around $20,000, delivered with three in-person intensives per year plus 10 exclusive online sessions per year

The important part is the design logic. Each tier solves a deeper problem than the one below it, and each tier increases access and responsibility.

The five stages Victor uses to deliver mentorship

Victor mapped mentorship to five stages with clear outcomes. Each stage tightens the offer and strengthens delivery.

Create: Key work includes the promise, structure, delivery format, and premium pricing. The outcome is a mentorship offer ready to sell.
Sell: Key work includes a sales model that matches your personality, lead conversion across cold, warm, and hot traffic, plus ethical high-ticket enrollment. The outcome is predictable enrollment.
Deliver: Key work includes breakthrough-driven sessions, retention and renewal strategy, and a delivery flow that stays consistent. The outcome is confident delivery and long-term clients.
Scale: Key work includes team, tools, systems, and group expansion toward 100+ mentees. The outcome is delivery that does not depend on the founder doing everything.
Final adjustments: Key work includes closing gaps, validating the model, and refining what needs refinement. The outcome is clarity on what stays, what changes, and what the next iteration needs.