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The Analytics tab gives you insight into how your chatbot is performing. Go to any chatbot → Analytics tab.

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Date Range Filter

All analytics data can be filtered by date range. Presets available:
  • Today
  • This week
  • This month
  • This year
  • Last year
  • Custom — pick specific from/to dates

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Overview Sub-Tab

The main dashboard with key metrics and trend charts.

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Metrics Cards

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Charts

  • Conversations over time — line chart showing daily conversation counts
  • Satisfaction trend — line chart tracking average rating over time

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Feedback Sub-Tab

Detailed feedback analysis from the thumbs up/down buttons in the chat widget.
Regularly review negative feedback to identify knowledge gaps. If visitors consistently rate certain topics poorly, add more content to those areas in your knowledge base.

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Conversations Sub-Tab

A table of all conversations with details: Use this to read actual conversations and understand what visitors are asking, how the bot responds, and where it falls short.

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LLM Sub-Tab

Token usage and cost analysis for the AI model.

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Using Analytics to Improve Your Chatbot

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Identify Knowledge Gaps

  1. Go to Conversations tab
  2. Filter for conversations with low satisfaction
  3. Read the questions — are they about topics not in your knowledge base?
  4. Add missing content to the Knowledge Base

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Optimize Costs

  1. Go to LLM tab
  2. Check average tokens per message
  3. If token usage is high, consider:
    • Shortening the system prompt
    • Using a cheaper model tier
    • Adding more specific knowledge so the AI needs less reasoning

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Monitor Engagement

  1. Go to Overview tab
  2. Track conversations over time
  3. Low engagement? Try:
    • Adding a proactive message to the widget
    • Improving welcome questions
    • Placing the widget on higher-traffic pages