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Documentation Index

Fetch the complete documentation index at: https://docs.paraminternationalltd.com/llms.txt

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User Retention helps you understand how many users come back after their first activity date. The retention view groups users by date and shows how many of them return on Day 0, Day 1, Day 2, and later days.
Twinalyze User Retention page

What this page tells you

01
User groups

Each date row represents users who became active on that date.

02
Return rate

Day columns show the percentage of users who returned after the first activity date.

03
Product stickiness

Higher retention means users are finding value and coming back again.


Retention timeline

Day-by-day view

Retention is read from left to right. Day 0 starts from the cohort date, and later days show how many users returned.

Day 0
First activity
Day 1
Next day
Day 2
Return check
Day 3
Repeat use
Day 4
Trend
Day 5
Stickiness
Day 6
Retention

Common use cases

Use retention to understand whether users return after their first activity.
If Day 1 or Day 2 is low, users may not be finding enough value after first use.
Strong retention means users are repeatedly engaging with your product.
User Retention helps your team understand repeat usage and long-term product engagement.