[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"glossary-customer-data-platform::en":3,"gloss-cluster-customer-data-platform::en":23,"gloss-next-customer-data-platform::en":9},{"slug":4,"category":5,"name":6,"definition":7,"meta_desc":8,"faq":9,"schema_markup":9,"related":10},"customer-data-platform","analytics","Customer Data Platform (CDP)","A customer data platform (CDP) is infrastructure that collects user and event data from your app, website, and backend, unifies it into a persistent per-customer profile, and forwards it to the downstream tools that need it — analytics, email, ads, support, and your warehouse. Segment, RudderStack, and mParticle are the reference examples. The core value for builders is instrument once, send everywhere: you fire a single `Order Completed` event, and the CDP fans it out to Mixpanel, your ad pixels, and Snowflake, so adding a new tool no longer means a new engineering ticket. CDPs also handle identity resolution, stitching anonymous and logged-in activity into one profile. Practical note: two flavors exist — packaged CDPs that store the data, and warehouse-native (composite) CDPs that leave data in your warehouse and activate it via reverse ETL. For early-stage teams the packaged route is faster; once your warehouse is the source of truth, the composite approach avoids paying to duplicate it.","A CDP collects user and event data, unifies it into one profile per customer, and forwards it to analytics, email, ads, support, and your warehouse.",null,[11,14,17,20],{"slug":12,"name":13},"identity-resolution","Identity Resolution",{"slug":15,"name":16},"reverse-etl","Reverse ETL",{"slug":18,"name":19},"tracking-plan","Tracking Plan",{"slug":21,"name":22},"warehouse-native-analytics","Warehouse-Native Analytics",[24,28,31,35,38,41,44,45,48,51,54,57],{"slug":25,"category":5,"name":26,"updated_at":27},"ab-testing","A\u002FB Testing","2026-08-24T02:46:38+00:00",{"slug":29,"category":5,"name":30,"updated_at":27},"active-user","Active User (DAU, WAU, MAU)",{"slug":32,"category":5,"name":33,"updated_at":34},"autocapture","Autocapture","2026-08-24T02:46:37+00:00",{"slug":36,"category":5,"name":37,"updated_at":27},"cost-per-resolution","Cost per Resolution",{"slug":39,"category":5,"name":40,"updated_at":27},"deflection-rate","Deflection Rate",{"slug":42,"category":5,"name":43,"updated_at":27},"guardrail-metric","Guardrail Metric",{"slug":12,"category":5,"name":13,"updated_at":34},{"slug":46,"category":5,"name":47,"updated_at":34},"multi-touch-attribution","Multi-Touch Attribution",{"slug":49,"category":5,"name":50,"updated_at":27},"novelty-effect","Novelty Effect",{"slug":52,"category":5,"name":53,"updated_at":34},"retention-curve","Retention Curve",{"slug":55,"category":5,"name":56,"updated_at":27},"sample-ratio-mismatch","Sample Ratio Mismatch (SRM)",{"slug":58,"category":5,"name":59,"updated_at":27},"seat-utilization","Seat Utilization"]