Customer data platform
From the Knowledge Hub, the cited wiki
A Customer Data Platform (CDP) is a software system that aggregates and organizes customer data from various touchpoints to build a unified customer profile. This unified data is then made available to other systems for marketing, customer service, and customer experience initiatives.
A Customer Data Platform (CDP) is a software system that aggregates and organizes customer data from various touchpoints to build a unified customer profile. This unified data is then made available to other systems for marketing, customer service, and customer experience initiatives. Industry analysts, such as Gartner, define the evolution of the category as moving from basic data collection to including advanced analytics and, in some cases, artificial intelligence capabilities.[1]
Features
Customer profile unification to create a single view of each individual.[1]
Types of Customer Data Platforms
Traditional CDPs are all-in-one solutions designed to unify customer data from multiple sources within a single platform.[1]
Data collection
CDPs are designed to collect data from a wide range of sources, both online and offline, and in various formats, and convert that information into a standardized form.[1]
Identity resolution
Identity resolution is a core capability of a CDP. It creates a single, persistent customer profile by identifying and linking data associated with the same individual across various identifiers, such as email addresses, device IDs, and cookies.[1]
Audience management
Audience management within a CDP involves collecting, organizing, and analyzing customer data for marketing and analytics purposes. It allows organizations to segment customers based on profile attributes, behaviors, and interests, which can be used to define segments for marketing campaigns. Many CDPs include no-code interfaces for building and managing audiences, allowing teams to manage data collection, segmentation, and orchestration through native integrations.[1]
Segmentation techniques
Customer data platforms use several techniques to segment audiences, including:[1]
Data activation
Data activation refers to the process of making customer data usable by business teams within the tools they rely on daily, for use in downstream business systems. Once audience segments are created within the CDP, they are sent to external systems, such as advertising platforms, CRM tools, email service providers, and analytics dashboards.[1]
Mechanism
Data activation typically occurs through integrations or connectors between the CDP and destination systems. These integrations can operate in two primary ways:[1]
AI capabilities
Artificial intelligence (AI) features in CDPs are used to automate data processing, and derive insights.[1]
References
- ↑ a b c d e f g h i j “Customer data platform”. Wikipedia. Text adapted from Wikipedia under CC BY-SA 4.0. Rewrite it in your own words where you can. Encyclopedia Retrieved 2026-11-13
Further reading
- “www.google.com / search”. google.com. Link found on the Wikipedia page. Open it, check it and fix this title before relying on it. Web page Retrieved 2026-11-13
- “scholar.google.com / scholar”. scholar.google.com. Link found on the Wikipedia page. Open it, check it and fix this title before relying on it. Web page Retrieved 2026-11-13
- “business.adobe.com / blog/basics/what-is-a-customer-data-platform”. business.adobe.com. Link found on the Wikipedia page. Open it, check it and fix this title before relying on it. Web page Retrieved 2026-11-13
- “hightouch.com / blog/what-is-a-customer-data-platform-cdp”. hightouch.com. Link found on the Wikipedia page. Open it, check it and fix this title before relying on it. Web page Retrieved 2026-11-13
- “hightouch.com / blog/what-is-data-activation”. hightouch.com. Link found on the Wikipedia page. Open it, check it and fix this title before relying on it. Web page Retrieved 2026-11-13
- “hightouch.com / blog/cdp-vs-dmp”. hightouch.com. Link found on the Wikipedia page. Open it, check it and fix this title before relying on it. Web page Retrieved 2026-11-13
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