New Predictive Metrics Analyze Store Visit Patterns, Enable Sophisticated Marketing Segmentation and Targeting
Summary
This large data set uniquely positions Euclid to forecast store visits across different brands, allowing businesses to accurately predict their customers’ intent and determine the best approach to engage them.In addition, with Euclid’s unique location data set and large commercial footprint, marketers can understand the frequency of a customer’s store visit.“From a data science perspective, developing new predictive metrics for both targeting and attribution is our main focus," said Rachel Wolan, Vice President of Product, Euclid.Marketers from the leading retail and restaurant brands rely on Euclids data platform to better reach, inspire and serve their customers, increasing their lifetime value in the process.Euclids growing offline network captures hundreds of millions of monthly visits from over one billion unique devices across tens of thousands of locations.