This documentation provides a comprehensive overview of the analytics dashboards available in the Usercentrics platform. These dashboards are designed to help customers monitor and analyze how end users interact with Consent Management Platform (CMP) configurations, including how often consent is given, denied, or triggered automatically through browser signals.
To reflect the fundamental differences in regulatory frameworks and consent models, this documentation is divided into two main sections:
🇪🇺 | GDPR & Opt-In Analytics
This section covers analytics for CMP implementations under GDPR and other opt-in regulations, where end-user consent must be explicitly collected before data processing occurs. It explains how to interpret key performance indicators such as banner visibility, acceptance rates, granular consent behaviors, and user engagement patterns across devices and regions.
🇺🇸 |Opt-Out Analytics (CCPA, GPC, UOOM)
This section focuses on analytics for opt-out frameworks, primarily relevant to U.S. regulatory models like CCPA, and automated consent mechanisms like GPC (Global Privacy Control) or UOOM (User Agent-Origin Mechanisms). It highlights how to track and compare manual vs. automated opt-outs, measure CMP exposure, and evaluate opt-out trends by state and device.
Each pane provides detailed descriptions of all metrics, chart behavior, tooltips, success indicators, and how customers can use the data to make informed decisions about CMP configurations and compliance strategies.
If you are unsure which dashboard applies to your setup, please consult your implementation settings or reach out to our support team.
📊 GDPR Analytics Dashboard Overview
The GDPR (Opt-In) Analytics Dashboard provides a comprehensive view into how users interact with your Consent Management Platform (CMP). It helps you evaluate how well your CMP is performing, optimize user engagement, and make informed, data-driven decisions about your consent strategy.
This section explains the key performance indicators (KPIs) available in the dashboard, how to interpret them, and how to use them to improve your CMP implementation.
✅ Key Metrics Explained
CMP Displays
What it shows:
How often the CMP banner was actually shown to users.
Why it matters:
This reflects the volume of banner exposure based on your surfacing rules. It helps you track how often the CMP is triggered and seen by end-users.
Interaction Rate
What it shows:
The percentage of users who interacted with the CMP.
The percentage of users who ignored the banner or closed it without making a choice.
Why it matters:
Understand the level of user engagement. A low interaction rate may indicate issues with banner placement, messaging, or timing.
Accept Rate
What it shows:
The ratio of users who clicked “Accept All” versus other consent choices (e.g. Deny, Save).
Why it matters:
Tracks how willing users are to grant full consent. Helps you identify whether your banner messaging, timing, or layout supports high acceptance rates.
📈 Monitor User Interactions
Use these KPIs to answer key business questions and guide optimization:
User Behavior Trends
Are users engaging with your CMP as expected?
Do interaction rates drop after design or wording changes?
Can you improve your layout to boost full or partial consent?
Device-Specific Insights
How do interaction and consent rates vary between mobile, desktop, tablet, etc.?
Should you tailor your banner design to specific devices?
Country-Specific Insights
Are there meaningful differences in behavior across countries?
Should you localize your banner for specific markets?
Layer-Specific Metrics
How do users interact with different layers of your CMP (e.g., first layer vs. second layer)?
Which layers should be prioritized for UI or content improvements?
A/B Testing Impact
How do users respond to your A/B test variants?
Which versions of your CMP lead to higher engagement or accept rates?
🔍 Interaction Analytics vs. Granular Analytics
Usercentrics provides two distinct ways to analyze consent behavior in opt-in contexts:
Interaction Analytics
Purpose:
Track how users interact with your CMP interface overall.
What it includes:
General KPIs such as:
CMP Displays
Interaction Rate
Accept All Rate
Use cases:
Evaluate CMP visibility and engagement
Monitor the impact of UI or configuration changes
Track success over time across devices or countries
Granular Analytics
Purpose:
Analyze individual consent decisions tied to specific Data Processing Services (DPS).
What it includes:
Detailed consent metrics based on user actions like:
Accept
Deny
Save
Use cases:
Understand how consent varies by DPS category
Improve consent rates for specific services
Support detailed compliance reporting
🎯 Summary
The GDPR Analytics Dashboard equips you with clear insights into how users are engaging with your consent banner, where to improve, and how your choices impact opt-in behavior. Use these metrics to fine-tune your CMP implementation, drive better consent outcomes, and stay compliant with user privacy expectations.
📊 Opt-Out Analytics Dashboard Overview
The Opt-Out Analytics Dashboard gives you clear visibility into how users — or their browsers — reject tracking under U.S. privacy regulations such as CCPA, and enabled for analysis in mechanisms like GPC .
This dashboard is designed to help you understand and respond to opt-out behavior, improve your CMP configuration, and support compliance in opt-out jurisdictions.
Unlike opt-in models (e.g., GDPR), where consent must be actively given, opt-out models assume tracking is allowed until explicitly denied — either manually by the user or automatically through browser/device signals. This dashboard focuses entirely on understanding those rejection moments.
Note: Opt-out interaction data are available only for data collected on or after November 13, 2025. Events prior to this date are not included or retroactively populated.
✅ Key Metrics Explained
Total CMP Display Opportunities
What it shows:
How often the CMP could have been shown to a user — based on your configuration and user eligibility — even if the banner wasn’t ultimately displayed.
Why it matters:
This is your baseline for analyzing opt-out behavior. It tells you how many potential chances you had to engage users with your CMP.
Total CMP Display Events
What it shows:
How often the CMP was actually displayed — either automatically (based on settings) or manually (via user request).
Why it matters:
Reveals how frequently users are exposed to the banner and helps you evaluate your surface settings.
Total Opt-Out Events
What it shows:
The total number of times tracking was fully denied — either manually by the user (e.g., clicking "Deny All") or automatically through signals like GPC.
Why it matters:
This is your key privacy metric in an opt-out model. It reflects the real-world impact of user decisions and signal-based rejections on your data collection.
Total Opt-Out Rate
What it shows:
The percentage of eligible users (CMP display opportunities) who ultimately opted out of tracking.
Why it matters:
A high rate may indicate issues with trust, banner wording, or signal defaults. It also serves as a benchmark for measuring changes over time or across configurations.
Manual vs. Automated Opt-Outs
What it shows:
A comparison between opt-outs triggered manually by users and those triggered automatically via browser/device signals.
Why it matters:
Helps you distinguish between user intent and regulatory/device defaults, which is essential for optimizing banner engagement and compliance strategy.
📈 Explore Behavior Across Segments
Use the dashboard’s filters and visualizations to dive deeper into opt-out patterns:
Daily Trends
Identify spikes or dips in opt-out behavior over time.
Understand how external factors (e.g., browser updates, design changes) affect user decisions.
By U.S. State
See how opt-out rates vary by state.
Identify regions with higher signal-based rejections or user-initiated denials.
By Device Type
Compare opt-out behavior across desktop, mobile, and tablet.
Evaluate if certain devices are more prone to automated opt-outs or lower CMP visibility.
🎯 Summary
The Opt-Out Analytics Dashboard is purpose-built to help you:
Track how often users or browsers reject tracking.
Understand the impact of automated signals vs. manual user actions.
Improve your CMP configuration and surface logic for better visibility and performance.
Whether you're optimizing for compliance, user experience, or data collection strategy, this dashboard provides the insights you need to succeed in opt-out regulatory environments.