Live Chat → AI Analysis → CRM Lead Scoring
Capture live chat conversations, analyze customer intent with AI, and automatically update lead scores in your CRM based on conversation quality.
Workflow Steps
Intercom
Capture chat conversations
Set up Intercom to automatically export completed chat conversations including timestamps, customer information, and full conversation transcripts. Configure webhooks to trigger when conversations are marked as resolved.
Typewise AI
Analyze conversation intent and sentiment
Process each chat transcript through Typewise AI to identify customer intent (product interest, pricing inquiry, technical question), sentiment analysis, and purchase likelihood. Extract key phrases and buying signals from the conversation.
HubSpot
Update lead score and properties
Automatically update the contact's lead score in HubSpot based on the AI analysis. High-intent conversations increase the score, while support-only chats maintain current scoring. Add conversation insights as contact properties for future reference.
Workflow Flow
Step 1
Intercom
Capture chat conversations
Step 2
Typewise AI
Analyze conversation intent and sentiment
Step 3
HubSpot
Update lead score and properties
Why This Works
By analyzing conversation quality rather than just quantity, this workflow helps sales teams prioritize high-intent leads while ensuring support conversations don't skew lead scoring metrics.
Best For
SaaS companies and e-commerce sites using live chat for both support and sales
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