Users will love you for itInnerview: Help the world make progress
Glossaries

Retention Rate

What is Retention Rate in User Research?

Retention Rate in user research is a metric that measures the percentage of users who continue to use a product or service over a specific period of time. It indicates how well a product or service is meeting user needs and maintaining user engagement.

Synonyms: User Retention, Customer Retention, Stickiness, User Loyalty Metric

question mark

Why Retention Rate is Important in User Research

Retention Rate is a crucial metric in user research because it provides valuable insights into the long-term success of a product or service. A high retention rate indicates that users find value in the product and are likely to continue using it, while a low retention rate may signal issues with user satisfaction or product-market fit.

How to Calculate Retention Rate

To calculate Retention Rate, use the following formula:

Retention Rate = (Number of Users at End of Period / Number of Users at Start of Period) x 100

For example, if you start with 1000 users and end with 800 after a month, your retention rate would be (800/1000) x 100 = 80%.

Strategies to Improve Retention Rate

  1. Conduct regular user surveys to understand pain points
  2. Analyze user behavior data to identify patterns of engagement
  3. Implement personalized onboarding experiences
  4. Offer ongoing user education and support
  5. Continuously improve product features based on user feedback

Frequently Asked Questions

  • What's a good retention rate?: A good retention rate varies by industry, but generally, rates above 80% are considered excellent.
  • How often should retention rate be measured?: It's typically measured monthly, quarterly, or annually, depending on the product and business model.
  • Can retention rate be too high?: While a high retention rate is generally positive, an extremely high rate might indicate a lack of new user acquisition or market saturation.
  • How does retention rate differ from churn rate?: Retention rate focuses on users who stay, while churn rate measures those who leave. They are complementary metrics (Retention Rate = 100% - Churn Rate).
Try Innerview

Try the user interview platform used by modern product teams everywhere