Bot Analytics
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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.
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Access Path
- Click Analytics in the left menu.
- Select Insights, then choose Bot Analytics.
- The dashboard loads with overall and per-bot metrics.
Analytics → Insights → Bot Analytics
- 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
- 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.
Below the global KPIs, a table lists each bot with:
- 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
- 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%
A retail brand’s Web bot ran promotions over a week:
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.