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SaaSFeature adoption and onboarding funnels E-commerceCheckout funnels and behavioural segments Content & MediaReal-time top pages, referrers and UTM analysis MarketplacesSegment both sides and measure match quality

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Developer toolsShip fast with usage analytics per feature Mobile appsUnified profiles and automatic session tracking Product-led growthTrial-to-paid funnels and activation milestones StartupsOne platform instead of five separate tools

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Build

Quick startFrom script tag to first event in under five minutes SDKsJavaScript, React, Angular and Node.js API referenceThe full REST surface, with curl examples DocumentationGuides, references and integration walkthroughs

Tooling

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BlogProduct deep-dives, comparisons and analytics craft GlossaryEvery analytics and AEO term, defined properly Bot directoryWho every crawler is and what it is fetching Free AEO reportAudit your visibility across AI answer engines

Company

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Analytics

What is Retention Rate?

Retention rate measures how many users come back to your product over time. It answers the fundamental question: "After users try our product, do they keep using it?"

Retention is typically measured in time-based intervals: Day 1 retention (users who come back the next day), Day 7 (within a week), and Day 30 (within a month). You can also measure retention against any custom event — like "users who exported a report at least once per week."

High retention is the clearest signal of product-market fit. Improving retention by even a few percentage points has a compounding effect on growth, making it one of the highest-leverage metrics to optimize.

Example

Your Day 7 retention is 35%, meaning 35% of new users come back within a week. After adding an email reminder for incomplete projects, Day 7 retention increases to 42%.

Related Terms

Cohort Analysis

A technique that groups users by shared characteristics or time periods to compare behavior patterns over time.

The percentage of users or subscribers who stop using your product within a given time period.

The ratio of daily active users to monthly active users, indicating how often users engage with your product.

Track events with Kitbase

Capture custom events, analyze user behavior, and build funnels — all with a lightweight, privacy-friendly SDK.

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