Overview
The Chat Intelligence Signals panel uses AI to analyze customer chat conversations and surface meaningful insights such as sentiment, intent, discussion topics, product interests, customer questions, objections, feature requests, and competitor mentions.
Instead of reviewing every conversation manually, users can quickly understand customer engagement and identify opportunities or risks directly from the Lead, Account, or Opportunity.
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Availability
Chat Intelligence Signals are available on:
Lead Prioritization
Account Prioritization
Opportunity Prioritization
Note: Chat Intelligence is generated only for supported chat integrations and analyzed conversations.
Opening Chat Intelligence
From the Prioritization table:
Navigate to Lead, Account, or Opportunity Prioritization.
Locate the Chat Signals column.
Click any Chat Signal badge to open the Chat Intelligence summary panel.
The panel displays AI-generated insights for the selected record.
Chat Intelligence Signals
Overall Sentiment
Description
Overall Sentiment summarizes the customer's tone across all analyzed chat conversations.
It helps identify whether conversations have been generally positive, neutral, or negative.
Possible Values
Value | Description |
|---|---|
Positive | Customer interactions are generally favorable and engaged. |
Neutral | Conversations are informational without strong positive or negative indicators. |
Negative | Conversations indicate dissatisfaction, frustration, or concerns. |
Sentiment Score
Description
The Sentiment Score is an AI-generated confidence score between 0 and 1 representing the overall sentiment.
Higher scores indicate more positive conversations.
Topics
Description
Topics identify the primary business subjects discussed during customer conversations.
The panel displays:
Primary Topic
Secondary Topics
Examples
Primary Topic
Data & Reporting
Secondary Topics
Product Usage
Adoption
API Integration
Intent
Description
Intent identifies what the customer is trying to accomplish based on conversation context.
This helps Sales and Customer Success understand the customer's current objective.
Common Intent Types
Support Need
Product Evaluation
Purchase
Expansion
Renewal
Technical Discussion
Implementation
Adoption
Intent Priority
Description
Intent Priority indicates how urgent the identified customer need appears.
Possible Values
Value | Meaning |
|---|---|
High | Immediate action recommended |
Medium | Follow-up recommended |
Low | Informational discussion |
Customer Questions
Description
Customer Questions lists important questions asked by the customer that were identified during chat analysis.
These help teams quickly understand what information the customer is seeking.
Example
How can I generate this report?
Can we schedule a walkthrough?
Which metrics are available?
Unanswered Questions
Description
Highlights customer questions that have not yet been answered in the analyzed conversations.
Reviewing unanswered questions helps teams prioritize follow-up actions.
Product Interests
Description
Product Interests identifies products, features, or capabilities that the customer has shown interest in.
Examples
Security QBR Metrics
Pipeline Analytics
Attribution Dashboard
AI Reporting
Feature Requests
Description
Feature Requests captures enhancements or capabilities explicitly requested by the customer.
These requests are automatically grouped and summarized using AI.
Example
Export dashboards to PowerPoint
Additional Salesforce writeback fields
Custom API support
Objections
Description
Objections identifies concerns expressed by the customer that may slow adoption or impact buying decisions.
Common Categories
Pricing
Security
Product Capabilities
Integration
Performance
Support
Competitors Mentioned
Description
Detects competitor products or vendors referenced during customer conversations.
Understanding competitive discussions helps Sales prepare appropriate responses.
Example
Salesforce
Clari
Gong
Product Mentions
Description
Lists RevSure products, modules, or capabilities discussed during customer conversations.
This provides visibility into areas receiving the most customer attention.
Chat Summary
Description
Provides an AI-generated summary of the analyzed conversations.
The summary highlights key discussion points, customer priorities, and recommended follow-up areas.
Analysis Metadata
The Chat Intelligence panel also displays analysis metadata.
Field | Description |
|---|---|
Threads Analyzed | Number of chat threads included in the analysis. |
Last Thread | Date and time of the most recent analyzed conversation. |
Last Updated | Timestamp when Chat Intelligence was last refreshed. |
How Chat Intelligence Is Generated
Chat Intelligence is generated by analyzing customer conversations using AI.
The analysis identifies:
Overall customer sentiment
Business topics
Customer intent
Product interests
Questions
Feature requests
Objections
Competitor mentions
Product mentions
The results are continuously updated as new supported conversations become available.
Note: Chat Intelligence reflects analyzed conversations only and should be used alongside CRM activities and GTM Signals for a complete view of customer engagement.
Best Practices
Review Overall Sentiment before customer meetings.
Use Customer Questions to prepare follow-up responses.
Monitor Objections and Competitor Mentions to identify potential deal risks.
Review Product Interests to tailor product demonstrations and recommendations.
Track Feature Requests to understand customer demand and product adoption opportunities.
Combine Chat Intelligence with GTM Signals and Conversation Intelligence for a comprehensive view of customer health and engagement.