In 2024, a mid-sized e-commerce company tripled its revenue within six months by using special email lists to personalize its outreach. The brand had previously relied on generic email blasts with limited segmentation, resulting in underwhelming conversion rates.
After switching to a behavior-based special database, which included fields like last purchase date, browsing history, and abandoned cart activity, they began running targeted campaigns. For instance, customers who home owner phone number list hadn’t purchased in 60 days received a re-engagement email with personalized product recommendations and a time-limited offer.
Using email automation tools like Klaviyo, the team set up flows that dynamically adjusted based on recipient behavior. The results were dramatic: open rates increased by 40%, click-throughs by 55%, and total revenue from email campaigns grew by over 300%.
This case highlights the power of data-driven segmentation and the impact special databases have on scaling personalized, high-ROI email strategies.
