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.
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Our Data Partners
400M Companies Mapped
40% Match Rate
USA covered
180byTwo’s Unifi Activation Platform enables B2B and Account-Based Marketers to seamlessly onboard, execute, and measure marketing programs leveraging our B2...
95% bounce-free with complimentary 1-1 replacement within 30 days from date of purchase
249 countries covered
Customise your dataset with advanced targeting and receive a refreshed update of the dataset every quarter.
Audiencerate Data Platform for Data owners
by Audiencerate
90% Match Rate
157 countries covered
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...
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
Full consumer profiles
180byTwo
Based in USA
We offer a comprehensive suite of portable solutions that can help you identify the right accounts to target via firmo/technographic information + B2B intent...
Audiencerate
Based in United Kingdom
Access to the largest digital marketplace in the world. Guaranteed ROI with best in class match rates and flexible financial models.
compliant
compliant
Ready
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.