retention-optimization

Diagnose churn by analyzing Day 1, Day 7, and Day 30 retention metrics against category benchmarks. Pinpoint the biggest drop-off windows during activation and habit formation to identify where users lose interest before reaching long-term engagement.

Reduce subscription cancellation rates by implementing cancellation-flow retention tactics and alternatives. Offer targeted win-back campaigns and adjust push notification timing to re-engage users before they complete the cancellation process.

Build a retention optimization plan by inputting your retention metrics, app category, and monetization model. Generate a prioritized diagnostic and a multi-week action plan covering activation, habit formation, engagement deepening, and re-engagement tactics.

Yes, use Day 1, Day 7, and Day 30 metrics to benchmark retention performance by app category. Apply these inputs alongside onboarding completion rates and time-to-value data to structure engagement deepening and long-term retention strategies.

Win-back campaigns increase lifetime value by re-engaging churned or lapsing users through targeted push notifications and flows. This prevents permanent loss by addressing churn drivers and guiding users back into active habit formation.

Compare your Day 1, Day 7, and Day 30 retention metrics against standard category benchmarks. Evaluate your onboarding completion and time-to-value performance relative to these benchmarks to identify specific retention gaps and prioritize fixes.