Case Study: Optimand increases direct hotel bookings with PredictHQ event data

A PredictHQ Case Study

Preview of the Optimand Case Study

Optimand leverages event data to increase direct bookings for luxury hotel groups

Optimand, a provider of demand analytics for luxury hotel groups, struggled to find a reliable and scalable method to measure the impact of local events on hotel demand and pricing. This gap in their data prevented them from offering their clients a truly comprehensive business intelligence solution.

By integrating the PredictHQ API, Optimand gained access to intelligent event data, which became the missing piece in their platform. This allowed them to provide clients with detailed insights into event impact, enabling more accurate demand forecasting and dynamic pricing. Since implementing PredictHQ, Optimand has seen a 100% increase in revenue.


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Optimand

Giuseppe Paolelli

CEO & Co-Founder


PredictHQ

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