How personalized marketing algorithms increased revenue in the carwash branche
Traditional marketing for carwashes applied the same loyalty offer to all customers. But no customer is the same. Heights therefore developed an algorithm which calculated personalized marketing offers. This led to a 15% increase in revenue at the carwash locations which used the algorithm.
After a Data & AI Scan at a carwash conglomerate, it became clear that different customers respond quite differently to a change in the marketing offers they received. This indicated the large potential for a personalized marketing algorithm.
After collecting a dataset of historical carwash visits and data about other interactions with the carwash, Heights built the algorithm in a 3-month trajectory. After development, Heights implemented the algorithm by integrating it with the several channels that a carwash uses to communicate with their customers, such as emailing and the Point-of-Sale software. Quickly after implementation it became apparent that the model led to a revenue increase of 15%.