Call sentiment analysis
Are your SDRs missing key deal signals?
Unlock conversation intelligence to analyze call sentiment, identify objections, and refine sales pitches to close more deals faster
Trusted by top-performing sales teams
%20(1).png)
%20(1).png)
.png)
%20(1).png)
%20(1).png)
%20(1).png)
.webp)
%20(1).png)
Why SDR teams need call sentiment analysis
Stop guessing—understand every sales conversation with AI-driven insights
Missed buying signals
Without AI-driven insights key stakeholder concerns and buying signals go unnoticed leading to lost opportunities and stalled deals
Poor objection handling
Without sentiment analysis reps miss emotional cues and fail to address objections effectively
Inconsistent messaging
SDRs often go off-script leading to missed value propositions and inconsistent messaging across sales calls
Slow coaching process
Managers manually review calls delaying feedback and skill improvement
Low conversion rates
Unstructured conversations lead to low engagement and fewer closed deals
Reps burning out
Without conversation insights reps work harder not smarter leading to burnout
Boost sales performance with conversation intelligence
Avoma transforms sales calls into actionable insights, helping SDR teams close more deals efficiently
Real-time pipeline analytics
AI-driven call sentiment analysis highlights positive engagement and buying intent
Real-time pipeline analytics
Real-time sentiment tracking helps reps adjust responses and build trust
Real-time pipeline analytics
Avoma's AI surfaces best-performing sales scripts for team-wide consistency
Real-time pipeline analytics
Auto-generated insights let managers provide instant
Real-time pipeline analytics
AI-driven insights optimize conversations to drive higher deal closures
Real-time pipeline analytics
Automated insights lighten manual work
The results speak for themselves, so do our customers.
_BestEstimatedROI_Small-Business_Roi.png)
FAQs
Call sentiment analysis in Avoma works by using natural language processing to identify emotional tones and reactions throughout conversations The AI detects positive, negative, or neutral language, changes in tone, hesitations, and enthusiasm markers This helps teams understand how prospects or customers really feel about your offerings, identify moments where deals might be at risk, and recognize opportunities to improve the customer experience
Yes, Avoma can analyze past calls if you have recordings available While the platform is typically set up to capture and analyze new conversations going forward, the system can process historical recordings that you upload This allows you to establish baseline metrics, identify trends over longer periods, and gain insights from past customer interactions to inform your future approach
Avoma's sentiment analysis typically achieves 85-90% accuracy in identifying positive, negative, and neutral sentiment in business conversations The system recognizes not just explicit statements but also tone indicators, hesitation patterns, and engagement signals While no sentiment analysis is perfect (especially with subtle expressions), Avoma's approach provides reliable indicators of customer feelings that help teams identify both risks and opportunities
What's stopping you from turning every conversation into actionable insights?
