A thriving DTC brand was successfully using Klaviyo to engage its existing customer base, achieving strong performance within familiar audience segments.
Integrating Faraday’s third-party data helped this DTC brand beat the cold start problem and refine their Klaviyo lists to better target new and existing consumers.
When expanding into a new market, the brand saw a drop in insights and struggled to effectively target and convert new customers.
They realized they were experiencing the cold start problem—without a body of historical data on the new audience segments, their Klaviyo models lacked the necessary foundation for accurate predictions.
To solve this problem, the brand decided to integrate Faraday into their Klaviyo stack, which allowed them to access and integrate Faraday’s built-in rich third-party data. This robust data set features 1500+ attributes on nearly every US consumer.
This change fixed their cold start problem by providing their models with rich data on these new consumers, and also allowed them to better segment their new (and existing) audiences by behavioral and demographic factors like demographics, life events, property details, and other behavioral signals further improving their performance.
