Data & Analytics; Shaping the Future of Gaming and Maximizing ROI
summary
Shows how historic product data and AI creative tools (ChatGPT, Midjourney, Creative Fabrica) shrink development time, localize ads and lift UA efficiency — increase acquisition from 20% to 40–50% and ROI lifting from 1.2x to 1.8x. Recommends metrics to monitor (D1/D7/D30 retention, impressions per DAU 20–25, rewarded-video share >30–40%), cites a mid‑core farming case where event localization raises acquisition and retention from ~50% to ~60%, and flags APAC/MENA as high‑spend, strategy‑leaning markets.
AI-written summary · about
chapters (13)
- 0:00Data-driven gaming intro
- 1:22Data analytics in gaming growth
- 3:11Historic data for game design
- 4:16Data-driven marketing strategies
- 5:59Scaling games with user metrics
- 6:22Gaming revenue trends
- 7:47Genre revenue vs downloads
- 8:31APAC and MENA growth regions
- 10:38AI tools in game development
- 12:44Local events and retention cases
- 13:26Maximizing ROI takeaways
- 13:50Post-launch success strategies
- 15:35Scaling without organic users
related talks
21mLeveraging Data Analytics for Game Advertising & Marketing
38mThe Art of Making Data Driven Creative Decisions in Gaming
30m#ElevateYourGame: How Impression-level Data Can Take Your Game to the Next Level
29mKeys to Success in 2021
20mSession: Finding Signal In The Noise: What 2025 Gaming Trends Reveal About Measurement
22mGlobal trends – Insights from 3 billion mobile gamers
28mSuperstar Session: How to Maximise the Game Economy With Ad Monetisation – Ron Thomas
29mThe Power of Analytics in Game Development for Meta Horizon Worlds
