Expedia Group has partnered with PredictHQ to bring contextual data around global events to the online travel agency’s (OTA) hotel partners.
The OTA began a pilot with the data specialist last year before a full launch toward the end of 2025 and continues to assess the results.
The PredictHQ data is integrated with Expedia Partner Center and aims to give hotels access to insights, such as demand data, to boost revenue strategies.
Expedia highlighted events such as the forthcoming World Cup to illustrate the benefits of the partnership. Chief commercial officer Greg Schulze said these sorts of events can be challenging for hotels, as demand comes in spurts making it difficult to predict.
He said that the combination of tools already within Partner Central and PredictHQ’s capabilities help hotels make more informed decisions.
“It's not just about a one off spike in demand that comes with the World Cup or another big event. Demand patterns shift with these events and so you want to make sure that you're optimizing before, during and after the event,” Schulze said.
“Success really means having a revenue strategy that delivers results through that entire cycle and is sustainable. It's not just a report for them to look at. It's actually insights and actions that they can take to ensure that they are meeting their objectives and driving demand.”
Expedia Group CFO Scott Schenkel recently shared that the company has sharpened how it works with vendors as well as how it uses the cloud and data.
During an interview at Morgan Stanley’s Technology, Media & Telecom Conference, Schenkel said the work was about adaptating to a metrics-forward mindset.
Schulze said the PredictHQ partnership not only demonstrates the strengths of the group's artificial intelligence-powered marketplace but also "the progress of our broader transformation."
Research from Expedia Group published last year revealed sports tourism represents 10% of global tourism spending.
Data from PredictHQ revealed traveler spend in U.S. host cities across accommodation, ground transportation and food and beverage is expected to increase by $750 million to $8 billion year over year. Accommodation spend from June to August is expected to increase 86% to $4.8 billion year over year.
The company provides “verified intelligence” that is aggregated from public and proprietary sources. It said it uses machine learning models to “aggregate, standardize, verify, enrich and rank the data.”