Case Study: Whistle Express reduces churn by 30% with Pecan AI

Whistle Express reduces churn by 30% with Pecan

Whistle Express, a fast-growing express car wash operator, faced the challenge of reducing customer churn in new and highly competitive markets. Their small data team of three people needed a scalable way to predict which subscription members were likely to cancel without the lengthy timeline of traditional model development. They turned to vendor Pecan AI to implement a predictive churn solution.

Using Pecan AI, Whistle Express connected its existing data and built a production-ready churn model in under two months, with the first predictions delivered in just two weeks. This enabled targeted marketing interventions. The solution resulted in a 30% reduction in churn in key markets and empowered the marketing team to act proactively with retention campaigns.

Whistle Express