> For the complete documentation index, see [llms.txt](https://aibotkit-docs.gitbook.io/documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aibotkit-docs.gitbook.io/documentation/analytics-and-reporting/daily-active-users.md). # Daily Active Users The **Daily Active Users (DAU)** metric shows how many unique visitors interact with your chatbot on a daily basis. This is one of the most important indicators of engagement, helping you understand both traffic patterns and bot adoption. *** #### What DAU Tracks * **Unique Users per Day** → Each visitor is counted once per day, even if they chat multiple times. * **Engagement Frequency** → Helps you see how often your audience is using the bot. * **Growth Over Time** → Compare usage trends (daily, weekly, monthly) to measure adoption. *** #### Why DAU Matters * **Customer Engagement**: A rising DAU means your chatbot is attracting more attention and being used regularly. * **Performance Benchmark**: By tracking DAU alongside conversations and messages, you can see whether users return daily or just once. * **Plan Scaling**: If DAU is steadily growing, you may need to upgrade your plan to handle higher message volumes. *** #### How to Use DAU Insights 1. **Spot Trends**: Monitor daily spikes to identify marketing campaigns, product launches, or events driving more traffic. 2. **Optimize Timing**: If most users are active at certain hours, adjust your bot’s greeting message or promotions to align with peak times. 3. **Measure Stickiness**: Compare DAU to Monthly Active Users (MAU) to understand how often visitors return. A high DAU/MAU ratio indicates strong user engagement. *** #### Example * On Monday, **50 unique users** interacted with your bot. * On Tuesday, DAU dropped to **20 users**, but message count stayed high. * Insight: Fewer people used the bot, but those who did had longer, more detailed conversations. *** ⚡ **Tip:** Combine DAU with **Chat Counts** and **Messages** to get a full picture: * **High DAU + Low Messages** → People open the bot but don’t engage deeply (fix greeting/fallback). * **Low DAU + High Messages** → Fewer users, but highly engaged (expand training content). --- # 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://aibotkit-docs.gitbook.io/documentation/analytics-and-reporting/daily-active-users.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.