Starting point
At TVBET, I built product analytics from scratch for high-traffic live-casino games. I defined the core metrics around LTV, retention, engagement and cohort performance.
What I did
I turned insights into roadmap priorities and shipped features. I used experimentation, behavioural segmentation and personalisation. I also introduced ML models for player fraud detection and a game-recommendation engine built on behavioural cohorts.
Alongside the product work, I ran workshops and 1:1 coaching for leadership and department heads to support data-driven decision making.
Result
Player LTV increased by about 20%, and average player lifetime extended by three months. Upsell and cross-sell performance increased by about 14% through experimentation, behavioural segmentation and personalisation.
For the full account of setting up the analytics practice, read the TVBET product analytics narrative.