githubEdit

Consent Analysis

The Commanders Act Consent Analysis Dashboard provides a centralized view of your compliance health and user engagement. It combines high-level visual modules with deep analytical metrics to help you optimize your consent rates and tracking quality.

Visual Analysis Modules

The dashboard is organized into specialized widgets to provide immediate insights without digging into raw tables.

1. Executive KPI Cards

These cards provide a weighted average of your selected banners and include Period-over-Period (PoP) comparisons.

  • Global Consent Rate: Total percentage of visitors who accepted at least one category.

  • Interaction Rate: Percentage of visitors who actively engaged with the banner (Accept, Refuse, or Configure).

  • Explicit Consent (Trust Metric): Measures the choice of visitors who actually interacted with the UI, excluding "ghost traffic" or bounces. This is your most accurate indicator of brand trust.

  • Estimated Tracking Loss: Quantifies data loss by distinguishing between Explicit Refusals (active choice) and No Choice (visitors who left without interacting).

2. Decision Journey (Funnel)

The Funnel widget visualizes the conversion path to identify where drop-offs occur:

  1. Exposure: Total visitors who saw the CMP banner.

  2. Interaction: Visitors who engaged with a button or link on the first layer.

  3. Opt-ins: Final volume of visitors who provided a positive consent.

3. Strategic Insights

The dashboard automatically interprets data to highlight growth levers.

4. Segmentation & Compliance

  • Geographic Impact: Segments performance between Europe (GDPR) and the Rest of the World.

  • Consent by Device: Compares Desktop, Mobile, and Tablet performance.

  • Real-time Cookie Scanner: A live audit of your compliance health. It displays your Compliance Score, detected Violations (e.g., cookies dropped before consent), and New Cookies discovered.


Interface & Controls

Filter Options

You can customize the dashboard by adjusting filter settings at the top left. By default, the top 10 banners that have at least 1,000 views are displayed.

Configures which privacy banners are displayed in the dashboard modules and table.

Filter interface

On the top right, specify a date range. The dashboard displays Trends (green/red percentages) comparing the selected period to the previous one of equal length.

circle-info

To select only one day, click the same day twice in the date picker so that both the start and end date are identical.

Export Options

Export CSV reports via the EXPORT button.

circle-exclamation

Measurement Approach & Logic

Commanders Act Consent Analysis measures privacy banner interactions based on visitors/traffic, not unique users.

A 1st party cookie TCPID is set to deduplicate actions.

  • Commanders Act identifies visitors as new if they delete this cookie.

  • The dashboard uses a last-action-of-the-day logic: only the final interaction recorded during a 24-hour period is kept for calculations.

Defining Actions

An optin action occurs when a visitor:

  • Clicks the Accept button.

  • Saves the Privacy Center with at least one category set to "on".

  • Navigates to a second page, clicks an element, or scrolls (only if Implicit Consent is enabled in your settings).


Scenarios & Detailed Examples

The following scenarios explain how deduplication affects your KPIs:

Example 1: Same-day change

  1. A new visitor accepts the privacy banner.

  2. Later that same day, they open the Privacy Center and revoke their consent.

  • Result: The dashboard records 1 Opt-out action (the last action) and 1 deduplicated banner view.

  • Final Metrics: Opt-in rate: 0%, No choice rate: 0%, Opt-out rate: 100%.

Example 2: Multi-day journey

  1. Day 1: A visitor arrives, does not interact with the banner, and leaves.

  2. Day 2: The visitor returns, accepts the banner, then later revokes it via the Privacy Center.

  • Day 1 Data: 1 banner view, 100% No Choice.

  • Day 2 Data: 1 banner view, 100% Opt-out (based on the last action).

  • Full Period View: If you select both days, the metrics will show an Opt-in rate of 0%, a No choice rate of 50%, and an Opt-out rate of 50%.


Detailed Metric Reference

Global Metrics

circle-exclamation
Metric
Description

Visitors exposed to CMP

Number of visitors viewing a CMP screen (Banner or Privacy Center).

Give consent

Visitors who consent to at least one category. Only the last action of the day is kept.

Do not give consent

Visitors who consent to no category. Includes both explicit rejects and "no choice" visitors.

Metric
Description

Banner button

Explicit consent via the "Accept" button on the first layer.

Privacy center

Explicit consent by saving settings within the Privacy Center.

Implicit (Browse/Click/Scroll)

Consent triggered by user behavior (if configured).

Interaction rate

Percentage of visitors who clicked any button, link, or the Privacy Center.

Engaged Visitors (Explicit Choice)

Metric
Description

Visitors making an explicit choice

Number of visitors who clicked either Accept, Reject, or saved the Privacy Center.

Explicitly consent

Visitors who made a choice and chose to consent.

Explicitly reject

Visitors who made a choice and chose to reject. Excludes "No Choice" bouncers.

Privacy Center Usage

Metric
Description

Exposed to Categories/Vendors

Number of visitors viewing the category or vendor lists.

Visitors saving a configuration

Number of visitors clicking the "Save" button in the PC.

Visitors not saving

Visitors who opened the PC but left the site without saving.


Advanced Understanding

No Choice vs. Bounce Rate

In an opt-in configuration, bounce rate tracking is often impossible as bouncers leave before consenting to analytics. The No Choice metric is a valuable proxy for bounce rate.

  • Normal cases: Visitors leaving immediately, or browsing without closing a non-blocking banner.

  • Special cases: Internal redirects (e.g., language redirects), mobile app redirects, or bot/crawler traffic.

A/B Testing

Privacy banner performance is critical for data-driven marketing. We recommend performing A/B tests to minimize "No Choice" and "Opt-out" rates. Use the PRIVACY filter to compare two banner versions side-by-side.

A/B testing comparison

Last updated

Was this helpful?