Consent Statistics
The Statistics page shows how visitors interact with your consent message(s): how often the message is displayed and what actions people take (Allow / Disallow / Close / etc.). Use it to validate your setup and spot differences between rules and consent types.
Date range filter
Each section has its own Date range filters selector.
- Pick a date range.
- Click Search to refresh the numbers for that section.
Tip: If you change the range and nothing updates, make sure you clicked Search (the selector alone doesn’t apply).
Global stats
Total messages shown
Total messages shown = how many times the consent UI was displayed to visitors in the selected date range.
This is not “unique users”. It can be higher than sessions because the message may show multiple times (different pages, different rules, cleared cookies, new devices, etc.).
Action table (overall)
This table totals all recorded actions across your site for that date range.
- Allow All – visitor accepted all consent options.
- Disable all / Disallow All – visitor rejected all consent options.
- Close on scroll – message was closed automatically when the visitor scrolled (only if that behavior is enabled).
- Confirm my choices – visitor saved a custom selection (some on, some off) from the options screen.
- Close consent – visitor closed the main consent message without making a choice (behavior depends on your setup).
- Close Options Popup – visitor closed the options/settings popup without confirming.
Stats by Consent Type
This breaks down actions by the consent experience you’re using (examples shown in your UI):
- Just inform – informational banner (often no accept/deny decision required).
- Inform and Opt-out – tracking starts, visitor can opt out.
- Ask before tracking – visitor must choose before tracking starts.
- IAB – IAB TCF-related flow (if enabled/used).
Use this section to answer questions like:
- “Do users actually make choices on ‘Ask before tracking’?”
- “Are most closes happening on ‘Just inform’?”
Stats by Rule
This breaks down the same actions by rule, so you can compare regions/audiences.
Example uses:
- Compare GDPR Rule vs Rest of the world Rule.
- Confirm the expected rule is getting the expected behavior (e.g., GDPR shows Allow/Disallow, ROW just closes on scroll).