Keynote: Scale Your IAPs With Purchase Behaviour Targeting Insights
summary
Bango processes billions of dollars from millions of apps and claims purchase behavior targeting lets UA teams reclaim payer accuracy without IDFA or cookies by matching phone-based payment IDs to social ad platforms. Three actionable layers: target payers in similar apps, target crossover categories (e.g., 60% of arcade payers also buy casual), and target high-LTV payment behaviors (examples: top word‑game payers make 10+ purchases and spend $300+/month). Reported case wins: +95% ROAS, −37% CPA, −34% cost per unique user.
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chapters (12)
- 0:00Purchase behavior targeting intro
- 1:15Privacy changes challenges
- 4:44IDFA deprecation impact
- 6:31Why targeting works
- 7:13Bango payment data processing
- 8:18Targeting users who pay in similar apps
- 9:44Cross-category payer overlap
- 11:48High LTV payment strategies
- 13:58Layered targeting approach
- 14:59Summary and UA strategies
- 15:40Q&A app growth
- 17:08Q&A targeting without IDFA
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