Case Study: Meredith Corporation achieves 612% increase in web traffic with Neo4j

Personalized Profiles Drive 600% More Web Traffic

Meredith, a major media company reaching 180M monthly users across 40+ publications, needed to deliver personalized content and advertising but was hampered by anonymous visitors, short-lived cookies, and siloed data streams that prevented reliable user profiles and made third‑party identity data hard to validate.

Meredith adopted Neo4j Enterprise with Graph Data Science, using a community‑detection (WCC) approach to join multibillion‑node cookie co‑occurrence graphs and resolve 14 billion anonymous data points into 163 million unique profiles. The graph solution enabled vetting of vendor data, creation of first‑party audience segments, scalable analysis of billions of records, and drove a 612% (6×) increase in web traffic.

Meredith Corporation

Ben Squire

Senior Data Scientist