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The Analytics section becomes essential once your Totebot is live. It gives you a single read on volume, quality, revenue, and insights on one scrolling page. A sticky header at the top lets you jump between sections and set the date range. Totebot Analytics Dashboard

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Engagement

Volume metrics for the selected period:
  • Conversations: total conversations.
  • Unique users: number of individual users who interacted with the agent.
  • Messages: total messages exchanged.
  • Messages per conversation: average conversation length.

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Quality

How well the agent handles conversations on its own:
  • Quick resolution rate: share of conversations resolved in a few messages.
  • Friction rate: share of conversations where users showed signs of frustration.
  • Negative sentiment rate: share of conversations with negative sentiment.
  • Containment rate: share of conversations the agent handled without human help.

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Revenue & Commerce

If a Shopify or WooCommerce store is connected, this section shows the agent’s business impact:
  • Products added to cart: products added after an AI-assisted interaction.
  • Checkout starts: checkouts initiated through the agent. (This does not equal completed purchases.)
  • Revenue generated: total revenue attributed to purchases initiated through Totebot conversations, with a daily breakdown.

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Insights

Conversation insights
  • Sentiment analysis: the emotional tone behind user messages.
  • Intent analysis: the core purpose behind each conversation (product inquiry, pricing, support), with a confidence score.
  • Top questions: common customer questions grouped by similarity.
  • Product insights: the products mentioned most frequently in conversations, with sentiment and context.
This section also shows Suggested messages, so you can see how often your quick-start suggestions were used.
Insights are available on the Pro and Scale plans.

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Knowledge gaps

On the Pro and Scale plans, the Analytics header shows a knowledge-gap count that links to a dedicated Gaps page. It lists questions your agent couldn’t answer well, so you can turn recurring ones into knowledge sources or Q&A pairs.