Case Study: European eBike Manufacturer achieves 22% ROI increase by identifying purchase triggers with Datamatics

A European eBike Manufacturer Improves ROI by 22% after Identifying Key Purchase Triggers from Online & Offline Touchpoints

European eBike Manufacturer, a growing European e-bike maker (700+ employees, $166M revenue), needed to identify key purchase triggers across diverse customer segments and multiple online and offline consideration touchpoints. They engaged Datamatics to analyze structured and unstructured data—website analytics, CRM, social, CSAT, market intelligence and primary surveys—to understand the mix of functional and emotional drivers influencing purchase journeys.

Datamatics implemented a data-driven framework combining in-store and online surveys with internal and external data, applying deep learning for text/image/video and supervised ML (logistic and linear regression) to produce an insight report and a persona-based simulator. Datamatics’ solution optimized channel impact and decision drivers, delivering a 9% increase in conversion, CSAT improvement from 3.7 to 4.3, and a 22% increase in ROI.