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Tuesday, April 21 • 1:30pm - 2:10pm
Identity Graph at Scale - Transforming Billions of Page views to Unique Identity Profiles in Publishing

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Leveraging Neo4j, Meredith has been able to create an Enterprise wide Identity Graph with 12.3 Billion Nodes and 18.9 Billion Relationships that represents its Digital presence over the last 18 Months across 30+ brands. Neo4js Graph Algorithms enable unique Digital Profiles for Premium Ad Sales. Digital Marketing and Custom Audience Advertising is a focus of any Media Publisher. Meredith Corporation is leading the field of first party data retargeting using Neo4j for an in-house Identity Graph containing every digital cookie seen across 30+ brands and applications, including People, Entertainment Weekly,Real Simple, Eating Well, and All Recipes. With 100 million unduplicated consumers, the Meredith Database is the largest U.S. consumer database of any media company, and includes 7 in 10 women and 8 in 10 homeowners. The Identity Graph solution has leveraged 10's of Billions page views across multiple data streams to create a graph comprising of 12.2 Billion Cookies and 18.9 Billion Relationships between them to identify recurring individuals across domains and devices to improve Custom Audience Advertising and Profiling.


Ben Squire

Data Scientist, Meredith Corporation
Benjamin Squire is a Senior Data Scientist at Meredith Corporation. He has developed several successful POC's in Machine Learning, Custom Audience Advertising, and Identity + Profiling. His interest is in using new technologies and automation to bring the best content to the right... Read More →

Tuesday April 21, 2020 1:30pm - 2:10pm EDT
Room 1