> For the complete documentation index, see [llms.txt](https://help.smartico.ai/welcome/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.smartico.ai/welcome/~/changes/B87CND5z8x8BAzJwmSVQ/products/crm-automation/segmentation.md). # Segmentation Segmentation is a process of dividing the population into relatively homogeneous segments based on certain parameters like geographic, demographic, psychographic, and behavioral. We have three types of segments, which will be discussed in more details in the sections. 1. **User State Segments** - based on the current state of the user. For example a segment of all users that made 1 deposit, might match 10 users right now but 9 users tomorrow, or in 15 minutes in case of these 10 users will make a second deposit. 2. **Behavioral Segments** - segment based on the behavior of the user. It combines data from both the user profile state and his behavior. The segment is based on the historical behavior of the user, e.g. users that did total wagering of more than 100 EUR on Slot games in the last 30 days. 3. **Imported segments** - segments can be also imported as CSV file. Imported segments are used when you have a very specific audience you can’t really group per some criteria. They are not that flexible as they remain exactly the same as you uploaded them. --- # 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 dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://help.smartico.ai/welcome/~/changes/B87CND5z8x8BAzJwmSVQ/products/crm-automation/segmentation.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.