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Chat history provides a complete record of all conversations between your chatbot and visitors. Use it to monitor performance, identify common questions, and improve your chatbot’s responses.

Viewing conversations

Access chat history from your chatbot dashboard by clicking Chat History in the left sidebar. Each conversation displays:
  • User information (name, email if collected)
  • Conversation timestamp
  • Message count
  • Conversation status (active, escalated, resolved)
  • User feedback (positive/negative reactions)

Filtering conversations

Use filters to find specific conversations:
  • Date range - View conversations from specific time periods
  • User - Filter by specific visitor or email address
  • Feedback - Show only conversations with positive or negative feedback
  • Status - Filter by escalated, resolved, or active conversations
  • Mode - View AI-handled or agent-handled conversations
  • Tags - Filter conversations by assigned tags
By default, all conversations are displayed in chronological order.

Conversation details

Click any conversation to view the full message thread, including:
  • All messages exchanged
  • Sources cited by the chatbot
  • User reactions to responses
  • Conversation mode (AI or agent)
  • Lead information if collected

Using chat history insights

Identify knowledge gaps

Review conversations with negative feedback to find:
  • Questions your chatbot couldn’t answer
  • Incorrect or incomplete responses
  • Topics missing from your training data

Create custom responses

For frequently asked questions that receive inconsistent answers, create custom responses (Q&A) to ensure accurate replies every time.

Improve training data

Use chat history to:
  • Add missing content to your knowledge base
  • Update outdated information
  • Remove irrelevant training data

Monitor escalations

Track conversations escalated to human agents to:
  • Identify complex topics requiring human support
  • Train your team on common escalation scenarios
  • Optimize your escalation triggers
Export chat history data for deeper analysis or compliance requirements. Contact support for export options.

Organizing with tags

Tags help you categorize and organize conversations for better tracking and analysis.

Adding tags to conversations

You can tag conversations manually or they can be added automatically: Manual tagging:
  1. Open a conversation from chat history
  2. Click View Details or the tag icon in the conversation header
  3. Click Add tags in the conversation details panel
  4. Type a tag name and press Enter (tags are created automatically if they don’t exist)
  5. Click the checkmark to save your tags
Automatic tagging: When a user clicks on a conversation starter (suggestion) to begin their first message, the chatbot automatically adds a tag with the conversation starter’s title. This helps you track which conversation starters are most effective at engaging users.

Managing tags

  • Create new tags - Type any tag name when adding tags to a conversation
  • Remove tags - Click the X next to a tag in the conversation details
  • Filter by tags - Use the tag filter in chat history to view conversations with specific tags
  • Reuse tags - Existing tags appear in the dropdown when adding tags to conversations

Tag use cases

Common ways to use tags:
  • Topic categorization - Tag conversations by subject (pricing, support, technical, sales)
  • Issue tracking - Mark conversations by issue type (bug, feature request, question)
  • Priority levels - Tag urgent or high-priority conversations
  • Customer segments - Organize by customer type or industry
  • Campaign tracking - Tag conversations from specific marketing campaigns
  • Product areas - Categorize by product feature or service area
  • Conversation starter tracking - Automatically tagged when users click conversation starters
Tags are shared across your chatbot, so you can use the same tags for both chat history and leads.

Managing conversations

From chat history, you can:
  • Mark as important - Flag conversations for follow-up
  • Resolve conversations - Mark issues as handled
  • Add tags - Organize conversations by topic or category
  • Add to Q&A - Convert specific exchanges into custom responses
  • Escalate to agent - Transfer active conversations to human support
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