Games that Retain.
summary
Twelve mobile studios and five industry experts inform a retention playbook: build predictive LTV models using behavioral data, not just time-based D1/D7/D30; test three starting-currency cohorts and pick the middle when the 41–42% uplift D1–D7 for the high cohort comes with a 30–32% monetization drop; map MVP journeys (eight–ten matches early predicts long-term retention), use hybrid metrics (actions + time), match newbies to bots, experiment with battle passes, variable rewards, A/B tests and ML-personalized win/loss ratios.
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chapters (10)
- 0:00Introduction
- 3:29Pre-launch retention
- 8:50Monetization vs retention
- 12:00Early success setup
- 19:18Power user guide
- 21:27Player feedback & data
- 26:20Variable rewards
- 28:49Lifecycle adaptation
- 31:15Testing & balancing
- 34:05Key takeaways
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