# Opt Out Opt Out helps you understand how users withdraw message consent over time. Use it to monitor opt-out trends, inspect the messaging context before opt-out, and export affected users for follow-up analysis. ### Choose the time period Available options: * Last Week * Last Month * Last Year * Dates Between Use a custom range when you want to isolate a campaign period, a release window, or a specific consent change. ### Export opted-out users You can export the list of users who opted out during the selected date range. The export includes the relevant external identifiers for those users. Changing the visible charts or breakdowns does not change the export scope. The export always follows the selected opt-out date range.

### Analyze the charts These sections help you connect opt-out behavior with recent campaign pressure and recent user activity. #### Push messages received before opt-out This chart shows how many push messages opted-out users received in the **last 7 days before** opting out. Use it to understand whether message volume may have influenced consent withdrawal.

#### Last campaigns This section shows the campaigns users interacted with before they opted out. Use it to spot campaigns that correlate with opt-out spikes.

#### Last events This section compares recent activity between retained and churned users before opt-out. Important controls: * **Events in last (x) days** defines the lookback window. * **Total Event** counts every event occurrence. * **Unique User** counts distinct users only.

In this view: * **Retain** means users stayed active in the selected window. * **Churn** means users stopped being active in the selected window. Example: If the chart shows **Retain: 2** and **Churn: 1**, that means two users remained active while one user became inactive in the selected period.

### How to use the results Use Opt Out findings to: * review campaign pressure, * improve consent strategy, * compare message quality across campaigns, * and reduce avoidable opt-out behavior.