Collect, a single-pixel JavaScript snippet, captures valuable data on both known subscribers and anonymous visitor interactions on your website. It monitors viewed products, cart additions, and purchases, providing crucial insights into user behavior. As data is captured at the ID level, integration with a catalog is essential for optimal functionality

A catalog serves as a comprehensive repository of attributes essential for powering Einstein Recommendations. It encompasses fields defining various asset attributes, such as product color, size, article author, or subject matter. These attributes enable precise filtering of assets to tailor recommendations effectively.

For the final step of ‘Einstein Recommendations’ implementation, we collaborated with our client to leverage Rule Manager within the SFMC UI. Through this process, we assisted in fine-tuning their Einstein Recommendations to precisely align with their business objectives and customer needs. By utilizing Rule Manager, our client gained enhanced control over recommendation outcomes, ensuring optimal performance and relevance across both email and web.

As an example of the rules implemented, we tailored recommendations to match specific user interactions. For instance, we configured rules to ensure that only sale items are recommended when a subscriber views a sale item. This targeted approach not only enhances the user experience by showcasing relevant content but also maximizes the effectiveness of promotional efforts, driving engagement and conversion rates.