> For the complete documentation index, see [llms.txt](https://docs.abtasty.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.abtasty.com/commerce/recommendations.md). # Recommendations - [Create a recommentation strategy](https://docs.abtasty.com/commerce/recommendations/create-a-recommentation-strategy.md) - [Repurchase recommendation algorithm](https://docs.abtasty.com/commerce/recommendations/create-a-recommentation-strategy/repurchase-recommendation-algorithm.md) - [Integrating & calling the repurchase algorithm](https://docs.abtasty.com/commerce/recommendations/create-a-recommentation-strategy/repurchase-recommendation-algorithm/integrating-and-calling-the-repurchase-algorithm.md) - [How the repurchase algorithm decides](https://docs.abtasty.com/commerce/recommendations/create-a-recommentation-strategy/repurchase-recommendation-algorithm/how-the-repurchase-algorithm-decides.md) - [Analyse your recommendation strategy performance](https://docs.abtasty.com/commerce/recommendations/analyse-your-recommendation-strategy-performance.md): In this tutorial, you will read through the Recommendations Report from top to bottom and draw your first conclusions about how your recommendation strategies are performing. - [How to configure your email integration](https://docs.abtasty.com/commerce/recommendations/how-to-configure-your-email-integration.md) - [How to configure Brevo integration](https://docs.abtasty.com/commerce/recommendations/how-to-configure-your-email-integration/how-to-configure-brevo-integration.md): Integrating Brevo with AB Tasty Recommendation and Merchandising - [How to configure SFMC integration](https://docs.abtasty.com/commerce/recommendations/how-to-configure-your-email-integration/how-to-configure-sfmc-integration.md) - [How to A/B test a recommendation strategy - For API clients](https://docs.abtasty.com/commerce/recommendations/how-to-a-b-test-a-recommendation-strategy-for-api-clients.md) - [How to A/B test recommendation strategies using AB Tasty Web Extensions](https://docs.abtasty.com/commerce/recommendations/how-to-a-b-test-recommendation-strategies-using-ab-tasty-web-extensions.md): This guide explains how to test two different recommendation algorithms or strategies on the same placement using AB Tasty for traffic splitting and experiment assignment cookie management. - [How to track performance](https://docs.abtasty.com/commerce/recommendations/how-to-track-performance.md) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.abtasty.com/commerce/recommendations.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.