Minhaz Hazarika

• 40% — Growth in Paying Subscribers
• 140% — Increase in Monthly Reactivations

The subscription streaming platform was spending on growth with no way to know which channels drove paying subscribers and which just drove downloads. No attribution to trace it, no system to grow subscribers at scale, retention leaking through broken lifecycle plumbing.

Led growth as head of growth and built the revenue attribution layer first: Adjust MMP with server-side and conversion API tracking, reconciled across KSA, UAE, and Kuwait, so every dollar tied to real paying subscribers, not installs. Set up UA across Meta, Google, Apple Search Ads, ASO, and telco billing, run against per-market LTV and CAC. Fixed the CRM deliverability blocking reactivation, then ran continuous tests on creative, bidding, and onboarding. Treated churn as an analytics problem to find the real cancel drivers, not self-reported ones.

For the first time, the team could see what drove subscription revenue vs noise. Paying subscribers grew 40%, monthly reactivations 140%, and App Store rank moved from 117th to the top 5 for converting keywords.

• 300,000 — Transacting KYC Enabled Users Acquired
• **18% ** — Lower Blended CAC
• 25% — Higher LTV
• 3.7X — ROAS
• 30 Millon — Yearly Marketing Spends

Gameskraft needed to scale aggressively across multiple gaming products and geographies while maintaining sustainable acquisition economics. Paid channels had begun to plateau, and CAC was inching up across Meta, Google, and DSPs. The challenge was to build a scalable, data-led growth engine that balanced scale with profitability.

I built one growth system across paid, affiliate, and influencer instead of running them in silos. I set up creative and offer testing to find what actually converted, and real-time dashboards tracking CAC and LTV together, so every spend decision was tied to payback, not surface metrics. Payouts were tiered to reward partners who brought players who transacted, not just clicks. I scaled the affiliate base past 300 partners and onboarded 150+ creators for regional performance.

Acquisition became predictable at scale. Because every channel was judged on paying players and payback, not installs, growth held even in high-competition markets, and spend kept returning more than it cost as budgets grew.

• 23% — Lift in First-Month Retention
• 35% — Increase in Revenue Per User
• 20% — Reduction in Churn (keep)
• 16% — Monthly Gain in LTV/CAC Ratio

After acquisition scaled, retention became the real bottleneck. Too many users churned before they paid back, which kept paid growth unpredictable. The business needed to spot high-value users early and keep them engaged, turning them profitable instead of paying again to replace the ones who left.

I built a scoring model that predicts a user’s value within their first 72 hours, so the players most likely to pay are known early. From that signal I ran automated lifecycle journeys across CRM, email, push, and in-app, each triggered by the user’s behavior and value tier. Reactivation logic brought lapsed users back at the moment they were most likely to return.

Retention and repeat play rose across cohorts, and users who would have churned stayed and kept paying. That lifted ARPU, cut churn, and made payback periods predictable enough to scale paid spend with confidence.

• 38% — Lift in Product Page Conversion
• 20% — Drop in Acquisition Cost

Lenskart had strong traffic, but the funnel leaked. Visitors browsed, added to cart, then dropped before buying. More ad spend would not fix a conversion problem. The job was to turn the traffic Lenskart already had into completed purchases by finding and removing the friction across the funnel.

I ran a structured CRO program instead of one-off tweaks. UX research and session data showed exactly where users dropped, then a prioritized A/B test roadmap tackled the biggest leaks first across product pages, cart, checkout, and app onboarding. Every test was judged on completed purchases and revenue per visitor, not clicks or time on page, so the wins were real revenue, not vanity lifts.

Converting the traffic Lenskart already had lifted purchase conversion and revenue per visitor, adding revenue with no extra ad spend. The testing system kept compounding gains after launch, so growth came from the funnel, not the budget.

• 28% — Higher Demo-to-signup Conversion
• 2.2x — MQL Growth
• **1.6× ** — ARR Lift
• **40% ** — Increase in Enterprise Lead Quality

Immunefi had strong technical credibility but no structured marketing engine, leaving the company without clear ICPs, funnel visibility, or predictable pipeline growth. The challenge was to build the entire 0 to 1 growth foundation, from positioning to demand generation to create consistent enterprise traction in the Web3 SaaS market.

I led the creation of Immunefi’s first marketing system, defining ICPs, setting up email marketing, building the GTM architecture, and implementing an ABM and content-led demand engine. I set up analytics for MQL tracking, built CRM automations, and launched PR-driven credibility plays across cybersecurity and Web3 communities. I worked closely with founders, product, and sales to ensure marketing efforts aligned with enterprise deal cycles.

Within months, Immunefi saw a clear lift in qualified pipeline and revenue velocity. The new growth foundation won market trust, improved enterprise lead quality, and turned fragmented interest into a structured measureable sales funnel.