Product recommendations

Executing product recommendation strategies with iPresso's feed manager enables you to dynamically and efficiently display frames of product recommendations tailored to individual customer preferences. Our platform integrates with product and customer data to create personalized recommendations. Algorithms analyze shopping behavior, products viewed, or transaction history, providing recommendations based on actual customer preferences. Frames with recommended products are dynamically generated based on the strategy set in the iPresso system. They can be used in various communication channels, such as websites, emails or messages on social media platforms. In addition, the recommendation strategies are flexible and can be modified in real time to better adapt to changing customer preferences and needs. The customer therefore receives personalized product recommendations, which increases the appeal of the offer, improves the shopping experience and contributes to increased conversions.