Call sentiment analysis that drives revenue
Surface buying signals, coach in real time, and turn every call into insight, with conversation intelligence built for frontline teams.
Trusted by high-performing sales teams at
%20(1).png)
%20(1).png)
.png)
%20(1).png)
%20(1).png)
%20(1).png)
.webp)
%20(1).png)
Call sentiment gaps lead to lost revenue
Missed buying signals
When tone and emotion go untracked, it’s impossible to tell who’s engaged or just being polite. Reps chase the wrong deals and miss real opportunities.
Calls feel good, but don’t convert
Reps and managers walk away saying “that went well,” but can’t explain why the deal stalled. Sentiment gaps make it hard to separate feel-good calls from effective ones.
You can't coach soft skills
Things like tone, empathy, and buyer trust are invisible in transcripts. Without sentiment, there's no way to coach the human side of selling.
Reps can't self-correct
Reps have no way to reflect on how they come across. Missed cues and poor delivery go unchecked, hurting conversions.
Forecasting gets riskier
Deals sound positive until they’re not. Negative sentiment shifts go unnoticed, leaving managers blindsided when deals go dark.
CRM insights fall flat
Call notes record what was said, not how it was said. That missing context makes it harder to spot urgency or hesitation.
Enablement misses the mark
If you can’t measure buyer reactions, you can’t improve messaging. Enablement teams build in the dark, guessing what works.
Burnout sneaks in
Emotional shifts in rep tone aren’t tracked until it’s too late. By then, morale has dropped and performance has slipped.
The results speak for themselves, so do our customers.
“It’s ten vs one in terms of, ‘Hey, we prefer Avoma.’”
“I can tell you that our top sales people couldn’t live without Avoma.”
“We thought we had a decent solution until we got Avoma. That was pretty much the game changer for us.”
FAQs
Talk to our teamCall 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 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
Avoma’s sentiment analysis helps sales teams identify hidden buying signals, improve call follow-ups, and coach soft skills. It gives managers and reps visibility into emotional cues that impact deal outcomes.
While Avoma doesn’t offer a direct filter for sentiment yet, you can use Ask Avoma to search for calls with positive or negative sentiment. Once inside a call, you can click on sentiment markers to jump directly to the most emotionally charged moments.
Yes. Avoma lets managers use sentiment trends to identify rep behaviors, emotional tone, and key moments. This makes coaching more focused and effective. You can click on negative sentiment markers in each call to jump directly to the relevant part of the conversation.
Basic transcription tools tell you what was said. Avoma adds sentiment insights so you can also understand how it was said. This helps you uncover intent, objection signals, or emotional red flags.
Yes. Repeated negative sentiment in calls from either reps or customers can be a signal of disengagement, friction, or dissatisfaction. Avoma helps surface these patterns before they become churn events.
Yes. In Avoma, every shared call or clip retains sentiment data, so teammates can immediately see where the tone shifted, objections came up, or excitement peaked.
Sentiment analysis is available shortly after the call is processed in Avoma, typically within a few minutes, along with transcripts, notes, and action items.
What’s stopping you from turning every conversation into actionable work?
