# Statistics

The Statistics section in AIsuru gives you a detailed overview of your Agent's performance, letting you **track user engagement and how interactions evolve** over time.

### Selecting a time period

When you open the page, you'll immediately notice a dropdown at the top that lets you select the **analysis period**. The default is "30 Days", but you can customize this range to fit your specific needs.

The page is organized into two main tabs: "**Visit trends**" and "**User activity**" 👇

### Visit trends

This section contains two main charts.

#### **Sessions**

The first chart shows the total number of sessions for your Agent during the selected period. The blue line represents the daily trend, making it easy to spot spikes and drops in usage.

#### **Users**

The second chart, just below the first, shows the number of users — that is, people who interacted with the Agent.

You can view specific details for any given day by hovering over the points on the chart.

### User activity

This section provides a detailed view of usage broken down by individual user, in a table with the following columns:

* **Username**: the user's name on the platform;
* **Email**: the user's email address;
* **Valid chats**: the number of completed conversations;
* **AI responses**: the number of responses generated by the AI;
* **Messages**: the total number of messages exchanged.

Above the table, in the top left, you'll find the "**Export CSV**" button, which lets you download this data in CSV format for deeper analysis — the exported file will also include the userID (the user's identifier) and tenantName (the tenant name) fields.

#### Advanced analysis strategies

To get the most out of your statistics:

1. **Run comparative analyses**:
   * Compare similar periods (e.g. same month in different years);
   * Assess the impact of holidays or seasonal events;
   * Identify your most active users and how they interact.
2. **Evaluate your campaigns**:
   * Select the exact period of a marketing campaign;
   * Compare data before and after the campaign;
   * Analyze the behavior of newly acquired users.
3. **Analyze usage patterns**:
   * Identify the most engaged users;
   * Study the ratio of total chats to AI responses;
   * Track message volume per conversation.

⚠️ Very short time periods may not provide statistically meaningful data.

By making the most of the Statistics feature, you'll gain valuable insights to guide the ongoing development and improvement of your AI Agent. The combination of aggregate data and per-user analysis lets you understand both broad trends and individual behaviors. Don't hesitate to explore different combinations of time periods and metrics to uncover new optimization opportunities! 📊🔍


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