retention-optimization

What problem does it solve?

It diagnoses why users stop coming back and helps you design a prioritized retention plan to improve engagement, reduce churn, and increase lifetime value.

Core Features & Use Cases

• Retention diagnostics: Uses Day 1/Day 7/Day 30 metrics, benchmarks by category, and asks for key inputs like onboarding completion, time-to-value, and monetization model.
• Actionable retention frameworks: Provides structured optimization across activation, habit formation, engagement deepening, and long-term retention.
• Churn prevention playbooks: Covers push notification strategies, win-back campaigns, and subscription cancellation-flow retention tactics.
• Use case: When retention drops after onboarding, it helps pinpoint the biggest drop-off window and proposes quick wins and longer-term experiments.

Quick Start

Ask your agent to produce a retention diagnosis and a week-1 to quarter-1 action plan using your Day 1, Day 7, and Day 30 metrics, app category, monetization model, and your current onboarding and engagement features.