Detailed explanation of all analytics metrics
CookieConfig tracks detailed metrics about how users interact with your cookie consent banner. Understanding these metrics helps you optimize your consent experience, maintain compliance, and make data-driven decisions.
Definition: The total number of times your cookie consent banner was displayed to visitors.
How it's calculated: Incremented each time the banner appears on a user's screen. If a returning visitor has already consented, the banner won't show again, so no new impression is counted.
What it means: This represents your total potential audience for consent collection. Higher impressions mean more traffic to your site.
Typical values: Should correlate closely with new visitor count or sessions where consent has not been previously recorded.
Troubleshooting:
Definition: The percentage of banner impressions that resulted in a user interaction.
How it's calculated: (Total Interactions / Banner Impressions) × 100
What it means: A key indicator of banner effectiveness. High consent rates mean users are making decisions rather than abandoning or ignoring the banner.
Industry benchmarks:
Improving consent rate:
Definition: The percentage of interactions that resulted in "Accept All" being clicked.
How it's calculated: (Accept All clicks / Total Interactions) × 100
What it means: Indicates willingness of users to share data and accept all cookie categories. Higher rates mean better data collection capabilities for analytics and marketing.
Industry benchmarks:
Important note: Don't use dark patterns or deceptive design to artificially inflate acceptance rates. This violates privacy regulations and erodes user trust.
Definition: The percentage of interactions where users clicked "Reject All."
How it's calculated: (Reject All clicks / Total Interactions) × 100
What it means: Shows how many users explicitly opt out of optional cookies. This is a healthy indicator that users have real choice and your banner isn't coercive.
Typical values: 10-40% depending on region and industry
What to do: Respect these choices. High rejection rates are not necessarily bad - they indicate transparency and user control, which builds trust long-term.
Definition: Cookies essential for website functionality (login, shopping cart, security).
Acceptance rate: Always 100% (cannot be disabled under GDPR/CCPA)
What it means: These cookies don't require consent but should always be disclosed to users.
Definition: Cookies that enhance user experience (language preferences, video players, chat widgets).
How it's calculated: (Users who accepted Functional / Total Interactions) × 100
Industry benchmarks: 60-80% acceptance
Why users accept: Clear value proposition - these cookies improve their experience
Definition: Cookies for measuring site usage, traffic sources, and user behavior (Google Analytics, Mixpanel, etc.).
How it's calculated: (Users who accepted Analytics / Total Interactions) × 100
Industry benchmarks: 40-60% acceptance
Regional variations:
Impact: Lower analytics acceptance means less data for understanding user behavior. Consider privacy-preserving analytics alternatives.
Definition: Cookies for advertising, retargeting, and cross-site tracking (Google Ads, Facebook Pixel, etc.).
How it's calculated: (Users who accepted Marketing / Total Interactions) × 100
Industry benchmarks: 20-40% acceptance (lowest of all categories)
Why acceptance is low: Users are increasingly privacy-conscious about advertising and tracking
Implications:
The goal is not to maximize acceptance at all costs. The goal is to provide a transparent, user-friendly consent experience that respects privacy while maintaining compliance. Trust and transparency lead to better long-term relationships with your users.