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Consent is often treated as a single decision, which hides how users respond to individual tracking categories. When outcomes are collapsed into one opt-in rate, it becomes difficult to understand whether users are comfortable with certain categories while rejecting others, or how those patterns change over time.
Consent Categories addresses this by breaking consent behavior down at category level. Instead of focusing on overall consent, Consent Status Per Category shows how each category, such as Analytics, Advertising, Functional, or Custom, is accepted or rejected as recorded by the CMP. This provides a clear snapshot of category-level outcomes.
Accepted Consents Per Category and Rejected Consents Per Category add a time dimension, showing when categories are accepted or rejected across the selected date range. Together, these views reveal how category responses evolve rather than presenting consent as a static result.
From a technical perspective, the data reflects recorded consent states per category, not inferred intent or user profiling. This makes it suitable for reporting, review, and comparison across sites or configurations. Over time, Consent Categories helps teams replace assumptions with observable patterns when reviewing category performance and consent design.
Built for organizations where data protection meets performance

Compare category behavior across multiple client setups .

Identify categories affecting data availability.

Review category responses without user profiling.

Understand selective consent at scale.

Support transparent consent reporting needs.

Observe category trends without sensitive data exposure.

Reference structured category-level consent outcomes.

Compare consent patterns across markets.
Breaks consent behavior down by category and shows changes over time




Within AesirX CMP, Consent Categories captures how users respond to each consent category at the point of interaction and reflects those recorded states in category-level reports over time.



Review category trends alongside banner wording to understand how consent choices are reflected in reporting.
Note that AI Auto-Blocking works for plugins and scripts loaded through WordPress’ standard architecture. Scripts hardcoded in theme files are not detected and must be added to blocking rules manually
Aesirx Consent Management Platform

Observable category patterns
Consistent reporting structure
Review-ready consent dataAesirX CMP for WordPress v1.8.0 adds advanced consent analytics, exportable insights, and 8 new languages – giving WordPress users deeper control and legal readiness.
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Consent Categories in AesirX CMP shows how each tracking category is accepted or rejected, presenting category-level consent outcomes rather than a single overall consent result.
While Consent Behavior Metrics focuses on overall consent states, Consent Categories breaks those states down by category to show where users accept or reject specific types of tracking.
No. Consent Categories aggregates consent outcomes by category without identifying users or linking decisions across sessions.
Yes. Consent Categories makes partial consent easier to interpret by showing which categories are accepted and which are rejected within the same consent interaction.
Consent Categories supports reporting by providing structured, category-level consent outcomes that can be reviewed over time and compared across configurations. These outcomes can be referenced or exported as part of consent documentation, helping teams explain category-specific behavior using recorded data rather than assumptions.