Reading retention curves across categories without false peers
How to judge whether a Day-7 dip is a category pattern or a product-specific signal when peer sets are uneven.
Retention charts look definitive until the peer set quietly includes apps with different onboarding lengths, pricing models, or seasonal calendars. A Day-7 drop that looks alarming next to a casual puzzle title may sit inside a normal band for a finance utility.
Start by naming the decision the curve should support. If the question is whether onboarding friction rose after a release, compare against your own prior cohorts first, then against peers that share the same activation steps. If the question is competitive standing, insist on peers that share monetization style and primary market.
Mark calendar events on the same chart: holidays in Thailand and key export markets, store feature windows, and your own campaign flights. Many “trend breaks” dissolve once those overlays appear.
When you publish an internal benchmark, state the inclusion rules in one short paragraph. Readers trust a narrower, honest peer set more than a crowded chart that mixes unmatched titles.