TAILOR PERSONALIZED PRODUCT DISCOVERY IN REAL-TIME BASED OF INDIVIDUAL BEHAVIORS
Help customers find the right product by recommending trending and most popular products by their demographic segment
All recommendations are not created equal. 64% of consumers are influenced to make a purchase when recommendations are based on personal preferences.
Leverage over a dozen strategies in Kibo’s personalization engine to expose the best product recommendation for each individual.Read House of Antique Hardware's Story
Quickly engage users with personalized product discovery algorithms.
Individualized Product Finder
Reduce search time with personalized product discovery
Quickly engage users by leveraging explorations-based algorithms and engagement behavior matrices to rapidly learn preferences and surface the most relevant product recommendations for each individualRead About Machine Learning for Retail
Leverage customer intent data to predict your customer’s next purchase
Predict Intent – Accurately
Accurate product discovery has the power to engage customers and drive conversion rates higher.
Kibo’s personalization engine leverages intent-based algorithms to predict an individual’s preferences to surface relevant content and product recommendations – eliminating product discovery friction during the buying journeyExplore Musicroom's Case Study
The personalization strategy has increased online sales by 8-10% in a year.