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User Dropout Rate
What is User Dropout Rate in User Behavior?
User Dropout Rate measures the percentage of users who stop engaging or leave a process before completing a desired action, such as signing up, making a purchase, or finishing a task on a website or app.
Synonyms: user abandonment rate, user attrition rate, user drop-off rate, user exit rate
How User Dropout Rate is Calculated
User Dropout Rate is calculated by dividing the number of users who leave before completing a specific step by the total number of users who started that step, then multiplying by 100 to get a percentage. For example, if 100 users start a checkout process and 30 leave before completing it, the dropout rate is 30%.
Why Monitoring User Dropout Rate Matters
Tracking dropout rates helps identify where users lose interest or face obstacles. High dropout rates at certain points can signal confusing navigation, slow loading times, or unclear instructions. Addressing these issues can improve user experience and increase conversions.
Examples of User Dropout Rate in Action
An e-commerce site might see a high dropout rate on the payment page, indicating users abandon their carts at that stage. A mobile app could notice many users drop out during onboarding, suggesting the process is too long or complicated. These insights guide targeted improvements.
