Identifying prospects with accuracy

Cookie targeting falls flat

A home furniture brand was concerned their acquisition solution was accidentally messaging existing instead of new-to-file customers due to cookie targeting, resulting in an artificially strong cost per acquisition (CPA).

Epsilon observes 200+ billion online interactions and 120+ million purchases daily to find the best in-market consumers for our clients’ acquisition goals.

Identifying prospects with accuracy

Our network of persistent individual IDs enabled them to message true prospects and increase revenue

52%

increase in average revenue per unique

97%

of messaging to true prospects

23%

increase in AOV

Cookie targeting falls flat

Reaching and converting new-to-file customers

Instead of cookie-based targeting, Epsilon used its network of persistent individual IDs to identify consumers who had not purchased at the brand within 24 months. This enabled the client to reach true new-to-file customers and exclude current customers from advertising—eliminating waste. We delivered personalized messages to every prospect based on our deep insights including who they are, what they like and how they interact with the brand, ultimately increasing net new sales. Our network of persistent individual IDs enabled them to message true prospects and increase revenue.

Epsilon observes 200+ billion online interactions and 120+ million purchases daily to find the best in-market consumers for our clients’ acquisition goals.

solutions

How can you break through?

We get it. Each industry and each company encounters their own unique set of challenges. But what if we repositioned those challenges as opportunities? See just how far we can go.

Epsilon Digital

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Retaining existing account owners through digital