> 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/reporting-and-performances.md). # Reporting & Performances AB Tasty provides comprehensive reporting tools to evaluate campaign performance, focusing on goal achievements. Key features include: * [Visual Campaign Results](/reporting-and-performances/reporting.md): Easily interpret campaign outcomes using dynamic data visualizations and color-coded indicators to highlight top-performing variations. * [Performance Center](/reporting-and-performances/performance-center.md): Monitor the size of the AB Tasty tag with guidelines to optimize performance. * [Experiments ROI dashboard](/reporting-and-performances/impact-dashboard/experiments-roi-dashboard.md): AB Tasty's strategic planning tool for measuring and projecting the financial impact of your experimentation campaigns. * [Data Explorer](/reporting-and-performances/data-explorer.md): Access and analyze detailed hit-level data, retrieve raw data, and create integrations with data warehouses. * [Learnings](/learnings.md): Create a library to collect campaign knowledge, including experiment results, insights, and subsequent actions. Get a better understanding of your website and visitor behavior. --- # 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/reporting-and-performances.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.