Case Study: Segundamano achieves 3x more conversions with Recombee

Segundamano boosts conversions 3x with Recombee

Segundamano, a leading online marketplace in Mexico, faced a significant personalization challenge due to its vast and constantly changing inventory of 4 million products per month. Manually managing recommendations was impractical. The vendor, Recombee, solved this by providing a high-tech recommender engine built on collaborative filtering-based models to automatically recognize user preferences.

Recombee's solution combined deep learning image models and advanced text processing for Spanish titles to deliver real-time, personalized recommendations in under 100 ms. This implementation resulted in 10% of all item views being attributed to Recombee's recommendations, and users who engaged with these recommendations generated 3x more conversions and 4x more interactions.

Segundamano