Honey, a subsidiary of PayPal, offers a popular consumer browser extension that automatically finds and applies coupon codes at checkout with a single click. Deals are also aggregated on the website and mobile app.
As Honey continues to grow its reach, they wanted to address the incremental value that its suite of solutions creates for brands by using a data-driven approach.
Honey leveraged CJ’s Data Science Solution Suite to demonstrate how it drives incremental revenue for advertisers from high-value customers. CJ’s Affiliate Incrementality and Affiliate Customer Journey solutions were used to understand how Honey influences consumer purchase behaviour.
The CJ Data Science team, along with Honey’s analytics team, reviewed shopping journeys from existing customers across several retailer verticals (office supplies, sporting goods, specialty retail, and luxury retail).
CJ compared shopping behavior for 12 months before and after a consumer’s first interaction with Honey to understand the incremental effect Honey had on customer purchasing outcomes – you can find out all about the findings in the full case study.
Continue the conversation on LinkedIn
