15 customer data platform (CDP) examples by deployment model, with pricing basis, residency notes and industry use cases. A neutral list with a stated method.
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Understand how customer data platforms collect events, resolve identities, enforce consent and activate customer journeys. Start with the plain-English overview, then follow the architecture and identity guides. Compare a CDP with the CRM, warehouse and other systems you already operate. The glossary explains individual terms and links them to longer discussions. Each guide names the choices and constraints behind a design, including situations where a simpler system is enough. Use the checklists to frame an internal discussion before buying software. Follow the sources when you need to test an assumption or explain a requirement to another team. These resources are for architects, data teams and marketing operations professionals evaluating how customer data should move through their organisation.
15 customer data platform (CDP) examples by deployment model, with pricing basis, residency notes and industry use cases. A neutral list with a stated method.
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Composable CDP vs traditional CDP: how warehouse-native, packaged and private customer data platforms differ on data, real-time, consent, cost and control.
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A plain-English customer data glossary: 50 terms from identity resolution to DORA and the EU AI Act, with regulated-industry examples and sources.
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Customer data platform architecture: ingestion, decisioning and activation layers, event contracts, identity, consent, audit ledger and four deployment variants
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Customer data platform (CDP) vs CRM, DMP, MDM, data warehouse and data lake: one comparison table, when to use which, and banking and healthcare examples.
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Customer journey orchestration explained: vs marketing automation, building blocks, tools compared, and how to keep consent correct in the middle of a journey.
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Do I need a CDP? Score yourself on 12 questions covering need and readiness, compare alternatives such as warehouse plus reverse ETL, and see what to do next.
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Identity resolution explained: match keys, deterministic vs probabilistic matching, thresholds, unmerge, consent, bank and health examples, vendor differences.
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Real-time decisioning explained: the decision loop, latency budgets by channel, rules vs machine learning, feature freshness, audit trails and vendors.
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Single customer view meaning: marketing use, the UK FSCS SCV file for banks and the GamProtect scheme in gambling, and how to build one without conflating them.
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A customer data platform (CDP) unifies customer data into persistent profiles other tools use. Definition, types, uses, buying criteria, 2026 market facts.
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Zero-party data explained: definitions and examples, zero-party vs first-party data, where third-party cookies stand in 2026, and the consent rules that apply.
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