Retention Rate
Retention measures the percentage of users who return to your product after their first use. It's arguably the most important product metric — poor retention means every user you acquire eventually churns, making growth impossible without constantly refilling a leaky bucket. Retention is measured in cohorts, not aggregates.
Note: Always measure retention by acquisition cohort, not calendar period. Mixing cohorts masks early-stage retention problems.
Day 30 retention > 20% for consumer; > 40% for B2B SaaS
Day 30 retention < 5% means users aren't finding value in the core loop
Benchmarks by segment
How to improve Retention
Find your retention "cliff" — the drop-off point in the first week — and fix the onboarding that precedes it
Identify the core action that correlates with long-term retention (Facebook's "7 friends in 10 days") and drive new users to it faster
Add notifications, digests, or in-app prompts that re-engage users showing early inactivity signals
Improve the product's core value delivery — retention is an output of product quality, not just growth tactics
Common measurement mistakes
Tools for measuring Retention
Best-in-class behavioral analytics with powerful event segmentation, funnel analysis, and retention charts that go far deeper than Google Analytics
Best-in-class event-based analytics with intuitive funnel, retention, and flow reports that surface actionable insights quickly
All-in-one product analytics platform combining analytics, session replay, feature flags, A/B testing, surveys, and a data warehouse — replacing multiple point solutions
Autocapture eliminates the need for manual event instrumentation — every click, pageview, and form interaction is tracked automatically from day one
All-in-one platform combining feature flags, A/B testing, product analytics, session replay, and web analytics — eliminating the need for separate tools
Best-in-class no-code editor for creating in-app walkthroughs, tooltips, and interactive guides without developer involvement
Frequently Asked Questions
They're inverses: Retention Rate = 1 − Churn Rate. Retention focuses on who stays; churn focuses on who leaves. Retention is better for measuring user engagement; churn is better for measuring revenue impact.
For B2B, measure both seat-level retention (are users logging in?) and account-level retention (is the subscription renewing?). Both matter — high account retention with low user retention signals a cancel risk that hasn't materialised yet.