Retention Analysis

Retention Analysis is a process used to assess how well a product retains its users over time. This involves analyzing user behavior and engagement to identify trends, patterns, and factors that influence user retention.

Why It Matters

- Decision-Making Impact: Retention Analysis helps product managers make informed decisions by understanding what keeps users engaged and what causes them to leave.
- Significance in Processes: It is crucial for improving product features, optimizing user experience, and enhancing customer satisfaction, all of which are vital for maintaining a loyal user base and driving growth.

How It’s Used

- In Product Roadmaps: Retention Analysis informs strategic planning by highlighting features that enhance user retention.
- During Sprints or Team Discussions: Teams use retention metrics to prioritize tasks that address user retention challenges.
- As Part of AI Workflows or Analyses: AI tools can automate data collection and provide insights for deeper Retention Analysis, enabling more effective interventions.

Related Terms

- Customer Retention Rate
- Customer Onboarding Metrics
- User Engagement Metrics

Additional Resources

- 16 Product Retention Strategies Every Product Manager
- The Ultimate Guide to User Retention for Product Managers
- How to Conduct a Retention Analysis (+Examples)

AI Product Management Context

Revo can support retention analysis by providing tools for tracking and analyzing user engagement and behavior, offering insights that help product managers enhance user retention through data-driven strategies.