Conversation intelligence at the sentence level

Label topics every time they come up—pricing 5 times, objections 3 times in one call. Analyze which topics appear together most often, then compare patterns across segments like renewals vs. new sales.

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Network graph showing aggregate label analysis of relationships between different user defined topics of interest

The network graph reveals the top 3 theme pairings by analyzing co-occurrence patterns across thousands of labels. (In ConvoInsights, we call topics themes)

No AI agent, just a robust data engine

How it works

Import sales transcripts, customer calls, or any text conversations.

Create a theme for each topic you care about. Organize themes in groups and collections.

Label conversations using your themes with a few clicks. Visualize and edit these labels in our conversation browser.

Use filters to segment conversations. View top themes across datasets, or explore which themes are most connected to a specific theme you're investigating.

The insights are there but you don't have the time.

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1. Pricing

When prospects push back on pricing, which other concerns are mentioned closest to pricing discussions in the same conversations?

Pricing Concerns
Pricing ObjectionImplementation TimelineBudget ConstraintsFeature GapsROI Discussion
Deal Stage = ProposalSales Cycle = > 30 days

2. Sales cycle

For deals that stalled, what are the top 3 concerns that appear most frequently in those conversations?

Stall Reasons
Budget ConstraintsImplementation TimelineApproval ProcessChampion AbsenceCompeting Priorities
Deal Status = StalledDeal Stage = Negotiation

3. Competitive intelligence

When Competitor X is mentioned, which specific product capabilities are discussed the most?

Product Capabilities
IntegrationAutomationReporting/AnalyticsEase of UseAPI Flexibility
Deal Outcome = Closed-WonLead Source = Inbound

4. Win-loss analysis

In closed-won deals that mentioned 'Product Demo', what are the top 3 most consistently mentioned customer requests?

Demo Requests
Product DemoOnboarding SpeedExporting DataCollaboration FeaturesUnique Use Case
Deal Outcome = Closed-WonContract Type = Multi-yearDeal Type = New Logo

5. Feature-to-pain mapping

When prospects ask about integration, what specific pain points were they discussing?

Integration
IntegrationData SilosManual Data EntrySpreadsheet HellLegacy System ConstraintsReporting Challenges
Deal Stage = Discovery or DemoTechnical Buyer = Yes

6. Multi-stakeholder

In multi-stakeholder calls, which themes does the economic buyer focus on versus the technical buyer?

Buyer Concerns
Business CaseCost SavingsProductivityTech StackIntegrationImplementation ComplexitySupport/Training
Call Type = Multi-StakeholderDeal Stage = Evaluation

7. Intent

When prospects express high urgency, which other themes are most likely to appear in the same conversations?

Urgency Signals
High Urgency LanguageCurrent Tool FailingProject DeadlineExecutive PressureManual Process
Deal Velocity = Fast (< 30 days)Executive Sponsor = C-Level

Frequently Asked Questions