Unica Interact and Digital Recommendations integration
Unica Interact can integrate with IBM Digital Recommendations to provide Unica Interact-driven product recommendations. Both products can provide product recommendations for offers, but using different methods. Digital Recommendations uses a visitor's web behavior (collaborative filter) to build correlations between visitors and recommended offers. Unica Interact is based on customer's past behavior, attributes, history, and less on view-level offers, learning which offers best match a customer's behavior profile (based on demographics and other information about the customer). Offer acceptance rates help to build a predictive model through self-learning. Using the best of both products, Unica Interact can use a personal profile to define offers that will pass a category ID to Digital Recommendations and retrieve recommended products based on popularity (the "wisdom of the crowds") for display to the visitor as part of the selected offers. This can provide better recommendations for customers that will result in more click-throughs and better outcomes than either product acting alone.
The following sections describe how this integration works, and how to use the sample application provided to create your own custom offer integration.