Tourism intelligence: hidden demand unlocked Powered by Tesela
A leading hotel group used Tesela to identify and profile U.S. audiences interested in Riviera Maya, helping them pinpoint the best timing and locations for demand-generation campaigns.
The client
A leading international hotel group, with a focus on data-driven marketing, aimed to better understand travel interest to optimize its international demand-generation efforts for Riviera Maya.
The challenge
The key challenge was to understand the preferences, interests, and behaviors of audiences at origin—going beyond assumptions and internal data. They needed to identify not just where and when to activate campaigns, but also how to tailor messages based on what truly resonated with each audience segment.
Outcome
They used Tesela to refine their demand-generation strategy. By leveraging real-time, location-based insights, they were able to tailor campaigns to the interests and behaviors of potential travelers in their markets of origin. This data-driven approach contributed to stronger performance in the U.S. market for their Riviera Maya properties.
Tesela’s geospatial platform tracked demand signals across all U.S. states and combined them with socio-demographic and behavioral data to uncover where, when, and why audiences showed interest in Riviera Maya.
By analyzing 8 key tourism-related interest categories—such as golf, beaches, hiking, and gastronomy—Tesela created audience clusters tailored to each region’s seasonal travel patterns.
The result was a quarter-by-quarter activation strategy focused on high-opportunity states like South Dakota, Illinois, and Oklahoma—enabling more relevant, data-driven media planning at origin.
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