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Analytics Overview

The Campaign Analytics Dashboard is your command center for measuring impact. It transforms every customer interaction into actionable insight, showing you exactly how your content performs, who's engaging, and which conversations convert. From engagement patterns to lead quality and intent signals, the dashboard gives you a clear, data-driven view of what's working and where to optimize. Use it to identify high-value leads, refine messaging, and continuously improve campaign performance.

To access Analytics, simply click Dashboard in the main navigation menu.


What's in the Analytics section

Campaign Analytics is organized into the following pages:

  • Overview (this page): The Key Performance Metrics tiles, Campaign Summary & Highlights, campaign selection, and data refresh cadence.
  • Leads: Lead-level details with chat summaries, intent tags, lead scores, and transcript downloads for each Lead.
  • Knowledge Base Gaps: Visitor questions the AI Assistant could not fully answer, surfacing content you should add to your knowledge base.
  • Metrics: Trend and pie charts around campaign-level metrics (DAU, CTA clicks, AI conversations consumed, and audience mix).

Data Refresh

The analytics dashboard data is refreshed twice a day - once at 4:30 AM UTC and again at 4:30 PM UTC.


Campaign Selection

  • Use the Campaign dropdown in the top-right corner to select the campaign you want to analyze. Note that data will be available only for Live campaigns.
  • Switching campaigns refreshes all metrics, charts, and insights instantly.

Key Performance Metrics

Displayed as cards at the top of the dashboard. All metrics in the top pane are calculated over the entire active lifetime of the campaign.

  1. Average Daily Active Users (DAU)
    • Average of Daily unique user (DAU) count over the active lifetime (days) of the campaign.
    • Format: Numeric (e.g., 247).
  2. Engagement Rate
    • % of users who had an engaged session with the AI Assistant over total unique users for the campaign. A chat session where the user asked the AI Assistant a minimum of 3 questions is classified as an ‘engaged session’. As an example, if there were 100 unique users and 78 of them had an engaged session, the Engagement Rate would be 78%.
    • Format: Percentage (e.g., 78.5%).
  3. Leads Scored (High/Medium)
    • Number of High and Medium qualified leads acquired over the active lifetime of the campaign. Lead qualification is done using LLM-based analysis of user conversations and engagement patterns.
    • Format: High/Medium counts (e.g., 156 / 186).
  4. CTR %
    • % of users who clicked a call-to-action link over total unique users for the campaign. For example, if there were 200 unique users for the campaign and 68 of them clicked a CTA, the CTR would be 34%.
    • Format: Percentage (e.g., 34.2%).
  5. AI Conversations
    • Total billed AI conversations across all visitors for the duration of the campaign. An AI conversation represents a conversation session between the visitor and the AI assistant, maxed at 10 message exchanges per conversation. First two messages in the session are free. After that, one AI conversation credit is consumed for every 10 message exchanges in the session. For example, if a visitor had 25 messages exchanged with the AI Assistant, that would count as 3 AI conversations (2 free messages, one conversation each charged at the 3rd, 13th and 23rd messages).

Campaign Summary and Highlights

The Analytics Dashboard doesn't just show numbers. It also provides AI-generated summaries and campaign highlights to help you quickly understand campaign performance and decide what to do next.

Campaign Summary

The Summary section gives you a concise, plain-language overview of common themes observed in user conversations and overall engagement trends.

Highlights

Alongside the summary, the dashboard provides a ‘Highlights’ panel with key data points about the campaign. This includes numerical metrics such as Average DAU, Engagement Rate, Leads Scored, and CTR % in a bulleted list that you can easily copy and paste into reports or presentations.

Tip: The summary + highlight give you both a high-level snapshot of performance and observable common themes from the user conversations. This makes it easy for marketers to move from insights to execution without having to manually analyze every data point.


Troubleshooting

Charts not loading

  • Refresh the page.
  • Check your browser console for errors.
  • Verify JavaScript is enabled.

Export not working

  • Check browser popup settings.
  • Try a different browser.
  • Ensure table has data for export.

Filters not applying

  • Use Clear Filters and reapply.
  • Refresh the page if issues persist.

Remember: Use analytics not only to track performance, but to continuously refine campaigns. Even small optimizations to CTAs, content, or lead capture fields can drive measurable gains over time.