DMP: definition, how it works and difference with CDP
Updated on February 22, 2026
Quick definition
A DMP (Data Management Platform) is a technology platform that collects, organises and segments large volumes of anonymous data from multiple sources — particularly third-party cookies — to enable ad targeting at scale. The DMP is mainly used by advertisers and agencies to activate audiences across programmatic ad channels.
How it works
A DMP aggregates data from three types of sources:
- First-party data: from the advertiser's site or app
- Second-party data: shared by a trusted partner
- Third-party data: purchased from data brokers
This data, generally anonymised and based on third-party cookies, is organised into audience segments (e.g. 'men aged 25–34 interested in sport'). These segments are then exported to DSPs to target display, video or mobile ads.
Leading DMPs include Adobe Audience Manager, Salesforce DMP (formerly Krux) and Oracle BlueKai.
The main weakness of DMPs is their dependency on third-party cookies: with the gradual disappearance of these cookies (already blocked on Firefox and Safari), traditional DMPs lose much of their ability to identify and target audiences. It is in this context that CDPs have emerged as a sustainable alternative based on first-party data and authenticated identities.
Why it matters
The DMP played a central role in the rise of programmatic advertising by enabling behavioural targeting at scale. It remains useful for high-volume display campaigns requiring third-party-data targeting.
However, in the context of stricter GDPR enforcement and the end of third-party cookies, its model is undergoing deep transformation. Data teams must anticipate this transition by building robust first-party strategies.
How to improve or use it
- 1Audit the share of your audiences based on third-party cookies.
- 2Identify segments that can be rebuilt from first-party data.
- 3Develop authenticated data collection programs (login, newsletter, loyalty).
- 4Consider migrating to a CDP to centralise your proprietary data.
- 5Explore alternatives: Privacy Sandbox, universal IDs (UID2), advanced contextual targeting.
With Sublim
Sublim collects only first-party behavioural data, without third-party cookies and without transferring data to advertisers or data brokers. This approach provides a sound foundation for building a proprietary audience strategy as a complement or replacement for a traditional DMP, in full GDPR compliance.
Frequently asked questions
What is the difference between a DMP and a CDP?
The DMP works mainly with anonymous data and third-party cookies for short-term ad targeting, while the CDP centralises first-party data tied to identified customer profiles for sustainable marketing use cases. The CDP is more compliant with GDPR requirements and less vulnerable to the end of third-party cookies.
Are DMPs GDPR-compliant?
Using a DMP with third-party data is strictly framed by the GDPR, since it generally involves collecting and sharing personal data without a direct relationship with the user. Compliant DMPs must rely on valid consent mechanisms and proper data processing agreements.
Do DMPs still have a future with the end of third-party cookies?
Pure DMPs based on third-party cookies are in structural decline. Industry players are pivoting to hybrid models combining authenticated first-party data, alternative identifiers (hashed email, universal ID) and walled gardens such as Google or Meta.
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