Case Study: Carl Ras boosts B2B personalization and digital revenue with Raptor

A Raptor Case Study

Preview of the Carl Ras Case Study

Carl Ras boosts digital revenue with Raptor, driving +82% conversion on recommended clicks

The B2B supplier Carl Ras faced the challenge of manually creating product recommendations on their website, a time-consuming process that required expert craftsmen but failed to deliver significant revenue results. They partnered with vendor Raptor to implement a more automated and data-driven approach using its website personalization and merchandising solutions.

Raptor's solution combined Carl Ras's expert product knowledge with machine learning, using behavioral and transactional data to deliver accurate recommendations. This resulted in 50% of digital revenue being influenced by recommendations and an 82% increase in conversion likelihood when a customer clicked a recommended product. Customers engaging with recommendations also had 60% more unique products in their basket, which increased order value.


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