on increasing your IAP revenue via dynamic pricing
summary
Claims that a real‑time dynamic price management platform weaves predictive segmentation, heat‑map timing, device and locale signals to raise IAP LTV by about 10% in trials. Examples: users who join at noon are four times likelier to spend, one game sees control conversion 10% higher while another hits +30% conversion yet both net +10% LTV, and international tiering alone lifts revenue ~10%. Implements continuous optimization, feeder apps and incentivized video testing, and shows measurable, game‑specific revenue gains without touching in‑game economy or UI.
AI-written summary · about
chapters (12)
- 0:00Introduction
- 1:38Whats not a trend
- 2:19Big data revolution
- 3:12Continuous optimization
- 4:16Continuous trend
- 5:22Gain specific optimization
- 7:10Callout
- 9:02Go Global
- 10:48Fairness
- 12:40Training Users
- 14:12Premium Exceptions
- 14:57DLC
related talks
26mMonetizing your games as a service
40mDesigning games for optimal IAP
18mAdvanced ad strategies that drive revenue and boost engagement
50mPanel: How to Optimise Revenue & Retention for Your Games
21m80% data, 20% luck – How to make profitable games in 2019
23mHacking the human brain – Irrational thinking will triple your game revenue
19mData-driven optimisation for in-app purchases and gameplay
20mUsers acquired - Now what?: Maximising revenue from existing players
