Understanding Email/Web Recommendations:
* Purpose:Recommendations (in email or on a website) use data about customer behavior and product information to suggest products or content that a customer is likely to be interested in.
Prerequisites:
* A. Collect Tracking Code:This is crucial. The Collect Tracking Code is a JavaScript snippet that you place on your website. It tracks user behavior (page views, product views, purchases, etc.) and sends this data to Marketing Cloud. This behavioral data is essential for generating personalized recommendations.
* B. Catalog:A catalog is a structured file (usually CSV or XML) that contains information about your products or content (e.g., product ID, name, description, price, image URL). The catalog is imported into Marketing Cloud and provides the inventory from which recommendations are drawn.
Why A and B Are Essential:
* Data-Driven Recommendations:Recommendations rely on data. The Collect Tracking Code provides behavioral data, and the catalog provides product data.
* Personalization:Without these data sources, recommendations would be generic and not personalized to individual customers.