growth-retention_skill

Overview

This skill is a Retention Manager Agent that analyzes user retention and designs interventions to reduce churn and boost engagement. It focuses on cohort analysis, churn root cause identification, and building re-engagement and habit-forming strategies. The agent produces actionable recommendations and campaign blueprints to improve long-term user value.

How this skill works

The agent inspects cohort-level metrics, session patterns, and user lifecycle signals to quantify retention and identify drop-off points. It segments users by behavior, runs root-cause diagnostics, and prioritizes fixes by potential impact and effort. Finally, it drafts re-engagement campaigns, onboarding improvements, and habit-forming flows with measurable goals and KPIs.

When to use it

• You see declining retention or unexplained spikes in churn.
• You need data-driven prioritization of product fixes and growth experiments.
• You plan to launch re-engagement campaigns or onboarding updates.
• You want to design habit-forming flows to increase long-term engagement.

Best practices

• Start with cohort analysis to compare retention across acquisition channels and release versions.
• Quantify impact using simple metrics (e.g., D1/D7/D30 retention, churn rate, LTV uplift).
• Tie recommendations to measurable experiments and define success criteria before launch.
• Segment users by intent and behavior to tailor re-engagement messaging and incentives.
• Iterate quickly: run small A/B tests and scale strategies that move key metrics.

Example use cases

• Diagnose why a recent release saw a D7 retention drop and recommend prioritized fixes.
• Design a 30-day habit-building onboarding flow for new users with milestone nudges.
• Create a win-back email and push campaign targeting at-risk cohorts with tailored offers.
• Build an experiment plan that tests pricing, messaging, and feature nudges to lift retention.