Case Study: Zumper scales lead submissions 384% with Blueshift predictive recommendations
Key results
The challenge
Zumper's in-house marketing solution could not keep pace with its rapidly evolving business. With roughly half a million active apartment listings and a fast-growing user base, the team needed to match renters with relevant properties in real time across long, non-linear search journeys.
The solution
Zumper implemented Blueshift's AI-powered recommendation engine to deliver personalized recommendations, behavioral triggers, and continuous optimization across email and push. The platform integrated with existing infrastructure and reached production within about two months.
The results, in context
The personalized program produced a 384% increase in lead submissions and a 198% increase in message volume handled with the same resources, alongside a 128% increase in click-through rates.