Case Study: Wheelhouse boosts revenue 5x with PredictHQ

Wheelhouse increased revenue by 5x through dynamic pricing

Wheelhouse, a dynamic pricing platform for short-term rental owners, faced the challenge of accurately forecasting demand to optimize nightly rental prices for its users. To enhance its pricing algorithm, the company needed access to reliable and comprehensive event intelligence data, which led them to partner with PredictHQ and utilize its API.

By integrating PredictHQ's demand intelligence API, Wheelhouse could incorporate predicted event impact data directly into its platform. This solution allowed for much easier and more accurate price recommendations for major events. The results were significant, with Wheelhouse achieving a 5x increase in revenue over ten months and one customer capturing 800% more than their normal nightly rate for a major conference.

Wheelhouse

Andrew Kitchell

CEO & Founder