# Tracking Interface Integration Tracking information lets the FactFinder Search tool learn automatically from user behaviour. The data provided through this interface can be used for a variety of purposes. These include the tracking of events such as users clicking on a detail page, placing a product into the shopping cart and purchasing it. The information can form the basis for automated search optimisation. It automatically improves the search result on the basis of established consumer behaviour. Information about product clicks, shopping basket and purchase events, in other words the user behaviour, is required for the Personalization module, which provides tailored search results for each user.\ The information on product purchases can also be used as a basis for the Recommendation Engine module. More information about that module can be found in the corresponding [documentation](/integration/recommendation-engine-integration.md). The events you pass on to FactFinder depend on your needs and objectives. However, automated search optimisation requires the details shopping basket and buy events to be sent at the very least. The following events are supported: * Clicking on the product details page * Placing a product into the shopping basket * Purchasing a product * A user is logging into the shop * Clicking on a product suggested by the Recommendation Engine * User feedback for the search results * Shop Cachehit Please note, that the personalization can only work if a proper session ID is sent with each search request. You can find more information on this in the [Search Integration Documentation](/integration/factfinder-search-integration.md). --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.fact-finder.com/integration/tracking-interface/tracking-interface-integration.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.