AI Insights
Discover conversation themes and sales signals with AI-powered analysis
AI Insights analyzes your conversations to identify themes (what visitors ask about) and signals (purchase intent, friction points).
Running an Analysis
- Go to your domain's Insights tab
- Click Run analysis
- Select a date range (quick presets: Last 7/30/90 days, or custom)
- Optionally name the analysis (e.g. "April week 2")
- Click Start analysis
The analysis takes 10-20 seconds depending on the number of conversations.
What You Get
Themes
Conversations are grouped into topics with:
- Theme name — e.g. "Returns", "Shipping", "Pricing"
- Count and percentage — how many conversations fall in this theme
- Example questions — real visitor questions from this theme
Use themes to understand what your visitors care about most.
Sales Signals Beta
Detected purchase intent signals:
- Pricing Inquiry — asking about prices, discounts
- Product Comparison — comparing options
- Purchase Intent — ready to buy
- Delivery Question — shipping times, costs
- Bulk Order — large quantity interest
- Urgency — time-sensitive need
Friction Signals Beta
Detected pain points:
- Confusion — visitor seems lost
- Repeated Question — asking the same thing multiple ways
- Unresolved — conversation ended without resolution
- Negative Sentiment — frustration or dissatisfaction
- Off Topic — questions unrelated to your business
Saved Reports
Every analysis is saved and can be viewed later. Click any past analysis to expand its results. Use this to track trends over time — "returns dropped from 40% to 25% after we improved the return policy page."
How It Works
The analysis uses a two-pass AI pipeline:
- Pass 1 — each conversation is individually summarized (theme + signals)
- Pass 2 — summaries are aggregated into an overall report with merged themes
Conversations in any language are analyzed correctly — themes are always labeled in English for consistent grouping across markets.
Sales and friction signals are in beta. The detection accuracy will improve as we gather feedback from real usage.