Growth hacking consultant
Growth hacking that compounds into a measurable growth system
Growth hacking is useful when it means rapid, measurable experimentation across acquisition, activation, retention and revenue. Akshay uses a growth-engineering approach: identify a bottleneck, establish trustworthy instrumentation, run a controlled test, and scale only when the downstream revenue signal holds.
What the work focuses on
- Experiment design linked to a documented bottleneck and business outcome
- Reliable tracking before conclusions are drawn or budget is scaled
- A reusable learning system across acquisition, product and lifecycle teams
Akshay is based in Brussels. Work outside Belgium is delivered remotely and does not imply a physical office in every market listed.
Regional expertise: Belgium Europe USA India Middle East & GCC
Practical decision guide / Original editorial method
Turn a growth idea into a testable decision
A growth experiment needs a mechanism, an eligible audience and a decision it can change. Rank ideas by the uncertainty they resolve and the cost of learning, not by a pseudo-precise score assembled from guesses. The operating loop should work for a shop, an app or a sales-led company.
Write the mechanism
Explain why the proposed change could affect behaviour. For checkout, clearer delivery expectations may reduce uncertainty; for onboarding, a shorter route to the first useful result may reduce effort. Record alternative explanations. “Make it better” and “use AI” are implementation themes, not hypotheses.
Choose an honest evidence design
With sufficient eligible traffic, design a controlled test and specify the analysis before launch. With sparse traffic, use usability observation, customer conversations or a bounded offer test. These methods answer different questions. Do not convert qualitative findings into a claimed percentage uplift.
Plan the handoff
Name the metric owner, implementation owner, guardrails and rollback conditions. Distinguish a broken implementation from an idea that did not work. When the result is inconclusive, preserve the decision log and choose whether another test is worth its cost instead of silently calling it a winner.
Apply it carefully
Illustrative contrast: an app team observes that users cannot find the import button. Watching users complete a task can expose that usability problem. It cannot establish the effect on 30-day retention. A later retention evaluation needs mature cohorts, a stable definition and an appropriate comparison.
Growth hacking here does not mean unsolicited scraping, deceptive scarcity, spam or bypassing platform rules. Experiments must respect consent, customer expectations and the team’s ability to deliver the offer.
Discuss a growth challenge or read the growth marketing library.