Before – Rule-based decisioning on a high-consideration purchase
Orion Sleep sells a considered, high-ticket product, but recovery ran on Klaviyo's rule-based logic: fixed triggers, fixed sequences, no read on where an individual shopper actually was. Messaging went out on schedule rather than on intent, and the flows couldn't tell a low-ticket accessory browser from someone weighing a full sleep system.
After – 50% higher revenue than Klaviyo's flows
Against a matched comparison window, Relvino's checkout-abandonment program delivered 50% higher revenue than Klaviyo's flows and ~19% more revenue per recipient messaged.
Key highlights:
- 2.9% of emailed shoppers purchased, on a high-consideration, high-AOV product
- 45X ROI on directly converted revenue alone
- Roughly three-quarters of attributed revenue came from shoppers who opened a Relvino email before a rep closed them — the program fed the sales floor as well as converting on its own
- 99% delivery rate, zero spam complaints, zero unsubscribes across every email sent
- Every email personalized 1:1 by agent — text and imagery — with decisioning made in real time rather than by fixed rule