segment-audience

Create dynamic or static audience segments by applying RFM modeling and behavioral criteria to your CRM data. The output provides platform-ready filter payloads and an audit-ready report with match rates for email and ad targeting campaigns.

RFM modeling scores customers based on Recency, Frequency, and Monetary value to categorize lifecycle stages. It applies to audience segmentation by grouping users into targeted cohorts for personalized campaigns, retargeting, and lookalike seed preparation.

Create suppression lists by applying exclusion rules to your audience segments. The segmentation process checks overlap with existing segments, applies exclusions, and outputs an audit-ready report showing member counts and overlap to govern ad targeting.

Yes, you can generate dynamic audience segments that auto-refresh for Meta and email platforms. The segmentation process creates platform-specific filter rules, validates available fields, and ensures consent and compliance validation for ad audience syncing.

Yes, audience segmentation includes consent and compliance validation when generating platform-specific filter payloads. This ensures ad audience syncing adheres to governance rules before segments are deployed to external platforms.

Prepare lookalike audience seeds by using RFM modeling and behavioral criteria to extract your highest-value CRM profiles. The segmentation process outputs an audit-ready report with member counts and match rates to validate seed quality before export.