The growth mindset
Learn what growth marketers actually do: customer insight, startup thinking, acquisition, activation, the funnel, experimentation and unit economics.
No endless lectures or hypothetical case studies. Over 90 days, you'll work alongside a small team to research products, launch actual offers, run paid campaigns, build AI-powered systems and create a portfolio you can show employers.
Study practical ideas, put them to work in live product experiments and explain your thinking every week.
Curated newsletters, essays and podcast episodes from practitioners—no mandatory books or excessive theory.
Research, offers, creative, Meta Ads, landing pages, experimentation and automation, with guided supervision.
Share weekly presentations, document results and leave with approved projects to discuss in interviews.
The programme is designed around supervised, business-funded work. Commercial results depend on actual tests and are not guaranteed.
Two weeks to learn and build. Five product offers tested by the end of the first month.
Learn what growth marketers actually do: customer insight, startup thinking, acquisition, activation, the funnel, experimentation and unit economics.
Learn product evaluation, positioning, pricing, offer design, customer research, landing pages, Meta Ads structure, creative hooks and conversion tracking.
Develop real creative-testing discipline. Understand CPM, CTR, CPC, CVR, CAC, attribution, funnel diagnosis and what early campaign signals can—and cannot—tell us.
Distinguish early traction from product-market fit, calculate contribution margin and break-even acquisition costs, and make evidence-led stop / iterate / continue decisions.
Develop scaling judgment and become an AI-native growth practitioner.
Understand vertical vs horizontal scaling, budget allocation, diminishing returns, creative fatigue, forecasting and rules for increasing spend.
Use AI as a practical collaborator for research, audience synthesis, messaging, product analysis, creative briefs and landing-page QA—with validation and human approval.
Move from prompts to systems: workflow thinking, n8n fundamentals, structured data, automated reporting, anomaly checks and responsible access to business information.
Improve the journey after the click: page tests, checkout friction, lifecycle emails, bundles, AOV, retention and growth loops. Introduce career-track selection.
Keep growing the business while building a stronger professional story.
Turn advertising activity into business recommendations. Work with budgets, contribution margin, prioritisation, stakeholder updates and responsible commercial ownership.
Learn to write a credible marketing CV, build a LinkedIn presence, communicate achievements and turn experiment logs into permission-approved portfolio case studies.
Learn targeted job search, outreach, professional networking, hiring-manager conversations, technical interviews and case-study storytelling.
Bring the full cycle together: research → offer → creative → launch → analysis → scaling → systems → career narrative.
Instead of a mandatory book list, every week includes selected podcasts, newsletters and essays matched to the work we're doing. Some publications offer paid archives; assigned materials and access will be confirmed before the programme begins.
External publications are independent learning resources, not sponsors or partners of the fellowship. Gary Halbert's materials are studied as copywriting references, not reproduced.
A recurring 60-minute learning-and-performance review with Seun and the cohort.
We want independent thinking and practical application—not a copied summary of someone else's newsletter.
Monday: Weekly planning and training.
Tuesday–Thursday: Learning and supervised business execution. Daily short stand-ups during the first launch sprint.
Friday: Presentations, performance review and founder feedback.
Applications are free. Selected fellows receive written programme, compensation and internet-support terms before joining. Limited to three places in the pilot cohort.
Participation, portfolio completion, introductions or recommendations do not guarantee employment. Applicants should review the programme terms before accepting an offer.