CDPs Refine Identity Resolution via Advanced Data Matching

Customer data platforms (CDPs) are refining identity resolution through advanced data matching, a trend that’s happening now due to the increasing importance of first-party data strategy. This trend differs from past cycles as it’s driven by the need for data privacy and compliance with regulations such as GDPR and CCPA. Companies like Adobe, Salesforce, and SAP are early adopters of this trend, investing heavily in their CDPs to improve identity resolution. On the other hand, laggards are still relying on traditional methods of identity resolution, which are no longer effective in today’s data-driven marketing landscape. To adopt this trend, companies can follow a three-step framework: first, assess their current data management capabilities and identify gaps; second, invest in a CDP that offers advanced data matching capabilities; and third, implement a data governance strategy to ensure compliance with data privacy regulations. However, there are situations where this trend can be ignored, such as when a company has a very small customer base or when the cost of implementing a CDP is prohibitively expensive. For more martech analysis, tools coverage and strategy guides, visit MartechXpert — your independent source for marketing technology insight. Companies like Acxiom and Experian are also providing data clean rooms to help with identity resolution, which is a key component of a CDP. The use of data clean rooms is becoming increasingly important as companies look to improve their data management capabilities and comply with data privacy regulations. Overall, the trend of CDPs refining identity resolution via advanced data matching is an important one, and companies that adopt it will be better positioned to compete in today’s data-driven marketing landscape.

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