Qubit's Product recommendations uses the power of machine learning (ML) to learn patterns in the product catalog and visitor buying and viewing behavior and then create recommendations tailored to the visitor and the moment in the journey. It includes cross-sell and upsell capabilities and enables merchandisers to leverage data to personalize the customer journey, influence engagement and drive conversions.
How does Qubit utilize product recommendations?
We offer a set of plug-and-play strategies, tailored for various points throughout the customer journey. These strategies orchestrate the various kinds of data typically collected in an online context, including collective purchasing and viewing behavior, product similarity, and personal preferences, to create highly relevant recommendations.
We also offer the possibility to connect recommendations with other programmatic experiences, such as Social proof, which draws on the power of social influence to create urgency and re-assurance, and has a proven track record in increasing the likelihood of conversion.