Bot Analytics

    Overview:

    Bot Analytics delivers a holistic view of your chatbots’ health and performance across all channels. By tracking usage, success rates, and drop-offs, it empowers you to fine-tune conversational flows, maximize goal completions, and promptly address friction points.


  • Access Path

    Analytics → Insights → Bot Analytics

    1. Click Analytics in the left menu.
    2. Select Insights, then choose Bot Analytics.
    3. The dashboard loads with overall and per-bot metrics.


  • Global Metrics
    • Total Bots: Count of all bots configured in your account.
    • Total Active Bots: Number of bots currently enabled and serving users.

  • Engagement Insights
    • Bot Conversations: Total number of chat sessions initiated within the selected timeframe—reflects user engagement.
    • Goal Completion Rate: Percentage of conversations that achieved predefined objectives (e.g., form submission, appointment booking)—measures effectiveness.
    • Drop-Off Rate: Percentage of sessions where users hung up or abandoned the flow before completion—highlights potential UX issues.

  • Per-Bot Performance
  • Below the global KPIs, a table lists each bot with:

    • Bot Name: Identifier for the chatbot.
    • Created On: Date the bot was launched.
    • Channel: Deployment platform (WhatsApp, Web, Facebook, etc.).
    • Status: Active or Inactive.
    • Chat Count: Number of conversations handled.
    • Conversion Rate: Goal completions Ă· total conversations.
    • Actions: Quick links to view detailed analytics or download raw data.

  • Navigation & Controls
    • Date Filter: Adjust the time window (e.g., last 7 days, month-to-date).
    • Refresh Data: Reload metrics to see real-time updates.
    • Download: Export the performance table and global metrics as CSV for deeper analysis.

  • Use Case Example
  • A retail brand’s Web bot ran promotions over a week:

    • Total Bots: 4 (1 Web, 2 WhatsApp, 1 Facebook)
    • Active Bots: 3 (one seasonal campaign bot paused)
    • Channel: Deployment platform (WhatsApp, Web, Facebook, etc.).
    • Conversations: 1,200
    • Goal Completion: 48% (users clicked “Shop Now” CTA)
    • Drop-Off Rate: 22%

By identifying that drop-offs peaked at the payment reminder stage, the team tightened the messaging and added a “Need help?” quick-reply, boosting completion rate to 60% in the following week.

Regularly reviewing Bot Analytics helps you iterate on conversational design, reduce user drop-off, and ensure your chatbots drive tangible business outcomes.