Expedia · Affiliate Performance
Despite strong acquisition volumes, a significant portion of users were exiting the booking journey at high-intent stages, particularly across search, comparison, and pre-checkout flows.
This created a clear gap between user intent and realized revenue. The opportunity was not in driving more traffic, but in capturing the value of users who had already shown strong purchase signals.
The focus shifted toward intent recovery and conversion efficiency.
A behavior-driven re-engagement framework was developed around user intent depth, recency, and interaction context.
Users were segmented based on behavioral signals such as search activity, property views, and drop-off stages. High-probability cohorts were prioritized and engaged with messaging aligned to their decision stage.
The system was designed to deliver communication that was timely, relevant, and directly tied to conversion.
Execution was carried out through a performance-led affiliate ecosystem operating on a CPS model, ensuring every action remained tied to revenue outcomes.
Campaigns were activated across 20+ curated placements with proven conversion behavior. Messaging was continuously refined based on user interaction patterns, while traffic sources were optimized to maintain quality over scale.
Scaling was controlled and data-driven, focusing only on segments that delivered consistent performance.
The campaign generated over $1.5M in revenue, driven entirely through re-engagement of high-intent users.
Beyond revenue, the initiative improved conversion efficiency across key stages of the booking journey and reduced reliance on incremental acquisition.
It established a scalable and repeatable system for performance-driven growth.