Definition
Retention rate measures how many members of an original customer or user group are still active at the end of a chosen period. The period might be a month, quarter, year, or a product-specific window such as seven days after sign-up. The retained action must be defined clearly: it could be an active subscription, a repeat purchase, a return visit, or a meaningful product event.
For a customer-retention calculation, the common formula is: Retention rate = ((ending customers − new customers gained during the period) ÷ starting customers) × 100. In product analytics, teams often use cohorts so they can compare people who started or activated around the same time. Ecommerce teams may use repeat purchase rate as the closest equivalent when the main behavior is buying again.
Retention rate is not the same as revenue retention or customer satisfaction. It describes continued customer or user presence; other measures are needed to explain how much retained customers spend, why they stay, or why they leave.
What does that mean
Imagine putting a group of users in a basket at the start of a month and checking how many are still using the product at the end. The retention rate is the share that remains, after separating out people who joined during the month.
Why this matters
A retention rate shows whether an experience creates lasting value, not just a strong first visit or sign-up. Marketing teams can see whether acquired customers return, product teams can connect behaviors to continued use, and UX teams can investigate the experiences that help or hinder people from coming back.
Use cases
Understand what keeps users coming back
A team may see a flat or falling retention rate but not know which behaviors are associated with people returning. Define a retained action, group users into comparable cohorts, and compare the journeys and behaviors of retained and non-retained users. This makes it easier to spot activation, adoption, or engagement patterns linked to longer-term use.
The expected benefit is a clearer view of the moments that create ongoing value, so teams can invest in the product experiences and journeys that are most likely to support retention.
Diagnose retention differences between audiences
Overall retention can hide important differences between audiences, devices, acquisition sources, or onboarding paths. Create behavioral or identity-based segments, compare their retention outcomes, and examine where their journeys diverge. This helps teams distinguish a broad product problem from an issue affecting a particular cohort.
The expected benefit is more focused action: teams can tailor onboarding, messaging, or experiences to the groups most likely to disengage instead of treating every user the same.
Find experience problems behind churn
A low retention rate tells you that people are leaving, but it does not explain whether the cause is confusion, technical errors, slow performance, or a missing feature. Use journey patterns and session evidence to inspect what people experienced before they stopped returning, then prioritize the most common or highest-impact problems.
The expected benefit is a shorter path from a retention signal to a concrete improvement, with teams able to validate whether fixing the experience changes later behavior.
See it in practice
Thinx used Heap by Contentsquare to understand product and quiz behavior. Quiz users reached a 90% retention rate and a 5× increase in conversion rate, showing how a specific experience can be evaluated against both continued use and business outcomes.
How Contentsquare helps.
Product Analytics helps teams analyze multi-session journeys across web and mobile, including retention and repeat engagement, so they can connect behaviors with longer-term outcomes.
User Segmentation lets teams compare retention across behavioral and identity-based cohorts, making differences between audiences easier to find and act on.
Journeys shows what users do before they return, convert, or abandon, helping teams identify paths and bottlenecks associated with retention.
Session Replay provides visual evidence of hesitation, confusion, errors, and other friction that may explain why a user or customer does not come back.
FAQs on retention rate
Retention rate is the percentage of customers or users from an initial group who remain active or continue a defined relationship during a specified period. The exact meaning depends on what counts as “retained,” such as renewing a subscription, returning to an app, or making another purchase.