Retention - Rybbit | Cohort Retention Analysis | Rybbit
Are your users coming back?
Cohort retention analysis that shows you exactly when users return, and when they stop. The clearest signal of product-market fit.
Retention
Cohort
| Cohort Dates | Users | Day 0 | Day 1 | Day 2 | Day 3 |
|---|---|---|---|---|---|
| Aug 10 - 16, 2026 | 3,305 | 100.0% | 4.3% | - | - |
| Aug 17 - 23, 2026 | 6,276 | 100.0% | 4.6% | 3.1% | 2.1% |
| Aug 24 - 30, 2026 | 5,259 | 100.0% | 4.5% | 2.6% | - |
| Aug 31 - Sep 06, 2026 | 5,461 | 100.0% | 3.5% | - | - |
| Sep 07 - 13, 2026 | 3,681 | 100.0% | - | - | - |
Retention
Acquisition numbers are vanity metrics if users don't come back. Retention is the single most important metric for understanding whether your product or content is delivering real value. If users return, you're building something that matters. If they don't, no amount of traffic will save you.
Rybbit's retention analysis groups users into cohorts by their first visit date and tracks what percentage return on each subsequent day or week. The result is a color-coded heatmap that makes it instantly obvious whether your retention is improving, degrading, or holding steady.
Capabilities
What you can do
- Cohort analysis tables: Color-coded retention tables show you exactly what percentage of each cohort returns on day 1, day 7, day 30, and beyond.
- Daily or weekly cohorts: Choose between daily and weekly cohort groupings depending on your product's engagement frequency.
- Flexible time ranges: Analyze retention over 7 days, 30 days, 90 days, or up to a full year. Match the window to your product's natural cycle.
- Cohort size display: See how many users are in each cohort alongside their retention percentages for proper context on small vs. large cohorts.
- Color-coded heatmap: High retention periods are highlighted in green; low retention in lighter shades. Spot trends instantly without reading every number.
- Trend comparison: Compare retention rates across different time periods to measure whether product changes are improving user stickiness.
Getting Started
How it works
- Users visit your site: Rybbit automatically tracks visitor sessions. Each visitor is assigned to a cohort based on the date of their first visit.
- Return visits are tracked: When a visitor returns on subsequent days or weeks, Rybbit records the return visit and maps it to their original cohort.
- Open the Retention dashboard: Navigate to Retention in your dashboard. Select daily or weekly granularity and your desired time range.
- Analyze your cohorts: Read the retention table to understand how each cohort retains over time. Identify if recent changes improved or hurt retention rates.
Use Cases
Who uses this
- Product teams: Measure whether product changes improve user stickiness. Track if new features bring users back more frequently.
- Startup founders: Retention is the most important metric for product-market fit. See if your early users are coming back or churning.
- Marketing teams: Compare retention rates across acquisition channels. See which traffic sources bring users who actually stick around.
- Growth teams: Identify retention plateaus and inflection points. Focus optimization efforts on the time period with the steepest drop-off.
- Product managers: Use retention data to justify roadmap decisions. Show stakeholders how specific features impact long-term engagement.
- Analytics teams: Combine retention data with event tracking and funnels to build a complete picture of user engagement over time.
FAQ
Frequently asked questions
- How are cohorts defined?
- What counts as a 'return visit'?
- Can I see retention for specific user segments?
- What time ranges are available?
- How does this work with privacy and cookie-free tracking?
Measure what really matters
Cohort retention analysis with no cookies and no setup.