Case Study: Lesara achieves 20% increase in customer engagement with Emarsys Predict

Predictive Recommendations Improve Engagement by 20%

Lesara, a Berlin-based online discount retailer founded in 2013, needed to deliver highly personalized shopping experiences across thousands of daily-changing deals and multiple devices without a heavy IT integration. As a newcomer in e‑commerce they faced the dual challenge of recognizing customers across mobile, tablet and desktop touchpoints and using behavioral data to surface the right products quickly.

Lesara implemented Emarsys Predict in a matter of hours and built a robust recommendation model within two weeks, using Unified Profile technology to aggregate behavior across channels. The recommendations drove strong engagement and revenue: time on site rose 20%, desktop pages viewed +12% (desktop session duration +20%), mobile pages viewed +20% (mobile session duration +28%), recommendations generated 9.8% of revenue, and 6% of recommendation clicks converted to purchases.

Lesara

Robin Muller

CTO