Retention Curve
Benchmark Generator.
Compare your cohort retention curves against upper-quartile (Top 25%), median, and trailing benchmarks. Fit custom data points to project active user half-life and average cohort lifespan.
Cohort Inputs
Retention Benchmarks Outcomes
The mechanics of cohort decay curves in-depth.
Retention is the core validation of product-market fit. Programmatic marketing models fail if the product lacks organic lifetime retention depth.
Onboarding Churn
The transition from Day 1 to Day 7 represents onboarding friction. A steep drop here indicates bad tutorial layouts, poor performance, or misaligned acquisition traffic targeting.
Habit Formation Loop
Day 7 to Day 30 retention tracks weekly recurring engagement. Teams must establish progression loops (e.g., daily quests, battle passes) to pull users back into the core gameplay.
Core Meta Sinks
Day 30 to Day 90 decay is governed by meta systems. Products with shallow item sinks, repetitive cycles, or no end-game content suffer rapid churn, limiting spend ceilings.
The Power-Law Tail
A small percentage of highly retained users (the "tail") generates the majority of revenue. Optimizing the curve's long-term power-law slope ($b$) increases average cohort lifespan.
Flatten your cohort retention curves and scale LTV.
Mobile apps scaling marketing campaigns often hit a ceiling because their cohort retention decays too rapidly. We audit your onboarding steps, review your system pacing, build cohort analysis models, and optimize progression loops to extend active player lifetimes.