Data Matching

Data matching refers to the activity of identifying a pair of records that belong to the same entity. It is commonly used in marketers when pairing audience attributes with the correct identity to create a more richer profile of their customers.
Find the right data, effortlessly.
Discover, compare, and request the best data matching datasets and APIs.
Our Data Partners
Real-time B2B Data API
by Salutary Data
46M records
95% Email Deliverability
1 country covered
API for enrichment and matching of B2B contact records
CRM/Database Enhancer
by Krill Technologies
15K Monthly records
100% Consistency
240 countries covered
Our Enhancement service works on process of leveraging the right mix of crawling& extracting tools, subscriptions and human verification process to enrich yo...
90% Match Rate
AR Data platform allows data owners to onboard their branded data to access the largest digital marketplace in the world powered by Google and Adform and sta...
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Krill Technologies
Based in USA
Founded with a goal to use the right mix of human expertise and technology & leverage this mantra to deliver better ROI & substantial results to marketers. A...
6 Million
23 Million
Based in United Kingdom is one of the biggest data providers in the world with a database that includes more than 27 billion of anonymous user profiles. We have devel...
+1200 segments
Data from 200+ markets
Raw Data
To fuel your own engine!
Datastream Group
Based in USA
Our Dedicated team is ready to create an innovative data solution that is tuned to your business needs.
large quantities
constantly updated & verified
250M +
Full consumer profiles
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Frequently Asked Questions about Data Matching

Learn everything about Data Matching. Understand data sources, popular use cases, and data quality.

What is data matching?

Data matching means the task of putting records from the same entity together. It often involves using a match key for combining two datasets that lead to a more rich profile of any given entity.

What is data matching used for?

Data matching has various use cases from marketing to insurance. E.g. while marketers can gain from more rich audience profiles, insurance companies can use data matching to identify individuals committing fraudulent claims.