How does it identify at-risk users?

It uses leading indicators such as declining login frequency, reduced feature usage, and support ticket volume to flag users before they churn.

Can I use this for non-SaaS businesses?

While optimized for SaaS and digital products, its cohort and retention logic can be applied to e-commerce, mobile apps, and subscription-based services.

Does it provide visual reports?

Yes, it generates professional HTML reports featuring retention curves, cohort tables, and charts to make data-driven decisions easier to share with stakeholders.

What metrics does this skill track?

The skill analyzes critical performance indicators including Day 1, 7, and 30 retention rates, monthly user/revenue churn, and weighted health scores.

Retention Optimization Expert

Name: Retention Optimization Expert
Author: maigentic

bymaigentic

•

분석 및 모니터링

Reduces user churn and improves long-term retention through detailed cohort analysis, predictive health scoring, and actionable win-back strategies.

소개

This skill empowers businesses to transform one-time users into lifelong customers by providing a data-driven framework for retention management. It automates the generation of comprehensive HTML reports featuring retention curves, cohort tables, and risk indicators, while providing strategic 90-day implementation roadmaps. Ideal for product managers and growth leads, it bridges the gap between raw data and execution by identifying at-risk users and designing targeted intervention campaigns to stabilize the user base and improve product-market fit.

주요 기능

Multi-tier win-back campaign design with escalating messaging and incentives.
Predictive user health scoring based on login frequency and core feature usage.
1 GitHub stars
Structured 90-day implementation roadmap for systematic retention improvement.
Interactive HTML report generation with retention curves and churn reason distribution.
Automated cohort analysis with M0-M12 retention mapping and color-coded visuals.

사용 사례

Product managers analyzing how specific feature releases impact user habit formation.
SaaS companies needing to reduce monthly MRR churn and logo attrition.
Growth teams developing automated re-engagement workflows for at-risk user segments.

소개

주요 기능

Multi-tier win-back campaign design with escalating messaging and incentives.
Predictive user health scoring based on login frequency and core feature usage.
1 GitHub stars
Structured 90-day implementation roadmap for systematic retention improvement.
Interactive HTML report generation with retention curves and churn reason distribution.
Automated cohort analysis with M0-M12 retention mapping and color-coded visuals.

사용 사례

Product managers analyzing how specific feature releases impact user habit formation.
SaaS companies needing to reduce monthly MRR churn and logo attrition.
Growth teams developing automated re-engagement workflows for at-risk user segments.