Turn Intercom conversations into support intelligence.
Sentiment trends, resolution times, topic clustering, and agent performance — built from your Intercom data in minutes.
Your Intercom data is a goldmine you can't access.
Intercom captures every conversation, but its reporting tools leave the most valuable insights locked away.
Intercom's built-in reports show volume and response times. But they can't tell you why conversations are happening, which topics drive the most frustration, or how sentiment is shifting week over week.
Every deep analysis starts with a CSV export. By the time you've pivoted the spreadsheet, cleaned the data, and built a chart, the numbers are stale and the insight is late.
When a product issue causes a spike in negative conversations, you find out from angry customers — not from your dashboards. Intercom has no sentiment tracking or anomaly detection.
Tell camelAI what you need. Get a deployed analytics dashboard.
2,847
Convos this wk
14m 32s
Avg Res. Time
87%
CSAT Score
+4.2
Sentiment (of 5)
Conversation Volume (this week)
Sentiment Trend (daily)
From Intercom data to support intelligence in four steps.
Connect Intercom + Postgres
Add your Intercom API key and Postgres connection string. camelAI securely stores credentials and syncs your conversation history into Postgres for deep analysis.
Learn about the Intercom connectionDescribe your analytics needs
Tell the agent what metrics your team cares about — resolution time breakdowns, sentiment trends, topic clustering, agent comparisons, or anything else. Use plain English.
AI builds your dashboard
camelAI pulls conversations from Intercom, runs AI-powered sentiment analysis and topic clustering, writes the SQL queries and React components, and deploys a live dashboard to a URL your whole team can access.
Schedule automated syncs
Set up a cron job so camelAI refreshes your Intercom data daily. New conversations are analyzed, metrics recalculated, and your dashboard stays current without any manual work.
What your dashboard can surface.
Track how customer mood shifts over time and spot negative drifts before they become churn signals.
Auto-group conversations by topic without manual tagging. See what your customers actually talk about.
See which tags drive volume and which need action. Break down performance by any dimension.
Compare agents on resolution speed, CSAT, and customer sentiment scores. Identify coaching opportunities.
Break down handle time by topic, priority, and time of day. Find where conversations get stuck.
Predict ticket volume by day and hour so you can staff accordingly. Never be caught short-handed again.
Built for support teams that run on Intercom.
Need visibility into what your team handles every day and where the bottlenecks are. Currently rely on Intercom's basic reports or manual queue reviews.
Tired of manual CSV exports and spreadsheet pivots to get basic metrics out of Intercom. Want automated, always-current dashboards.
Need data to justify hiring, tooling spend, and process changes to leadership. Need polished, shareable dashboards — not spreadsheets.
What Intercom reports give you vs. what camelAI builds.
| Feature | Intercom Reports | camelAI Dashboard |
|---|---|---|
| Sentiment analysis | Not built-in | AI-powered per convo |
| Topic clustering | Manual tags only | Automatic AI clustering |
| Agent comparison | Basic metrics | Full leaderboard + trends |
| Custom date ranges | Limited presets | Any range, any granularity |
| Cross-source joins | Intercom data only | Intercom + Postgres + more |
| Shareable dashboard | Requires login | Public URL, no account |
| Auto-refresh | Manual | Cron-scheduled daily sync |
Frequently asked questions.
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Start analyzing your Intercom conversations today.
Connect Intercom, describe the insights you need, and get a live analytics dashboard — deployed in minutes.
Start building