Case Study: Batch increases bookings with Shaped

Batch boosts bookings 4.9% with Shaped

Batch, a group travel company, faced challenges with its static legacy recommendation system which lacked personalization and contextual relevance. The system struggled with poor relevance matching and often made significant gender misalignments, such as recommending bachelorette experiences to users planning bachelor parties. To solve these complex relevance problems, Batch partnered with Shaped and its real-time personalization engine.

Shaped implemented a hybrid modeling solution that used feature engineering to infer gender alignment and ML-driven ranking. This approach delivered personalized, context-aware recommendations. As a result of implementing Shaped's solution, Batch saw a 4.5% increase in click-through rates, a 29% lift in engagement, and a 4.9% increase in bookings, demonstrating a clear and measurable impact on their business.

Batch