Hear the Hesitation. Save the Deal.

Sentiment analysis on calls

Most “good” calls hide real risk—polite yeses, long pauses, and tone shifts that signal doubt or price pushback. An AI listener spots these moments in real time, surfaces the true objection, and flags coachable clips—so reps fix issues on the call and managers coach the five minutes that change outcomes.

The Missed Moments on Every Call

Most deal risk hides between the words—hesitation before pricing, a polite “sounds good,” or a quick deflection when a competitor is mentioned. Without a way to review every conversation, managers miss quiet objections and coachable moments, and self-assessments from reps stay subjective—so real insights and winnable deals slip by.

Sentiment analysis on calls

Lead volume

Key Features

AI-Powered Transcription & Sentiment Scoring

The agent transcribes the entire call and then uses Natural Language Processing (NLP) to assign a sentiment score (positive, neutral, negative) to different parts of the conversation.

Key Moment Detection

The AI automatically identifies and tags important moments like objections, pricing discussions, competitor mentions, and action items, making reviews fast and efficient.

Trend Analysis Across Calls

The agent can analyze thousands of calls to spot trends, such as which competitor is mentioned most often or which feature generates the most positive reactions from customers.

Use Cases

Use-Cases for Lead scoring using AI

Enterprise software

Used objection tags to uncover a recurring pricing misunderstanding, then rolled out targeted enablement that improved how reps navigate price conversations and reduced stalls.

Telecommunications

Aggregated sentiment across thousands of calls to find a feature driving consistently positive reactions, then elevated it in campaigns and saw stronger engagement and lift.

Cybersecurity startup

A rep reviewed the call summary, spotted a negatively scored concern missed live, addressed it in follow‑up with proof points, and turned a near‑loss into a closed‑won.

More Agent Template

Auto-log calls & emails

Automatically logs calls and emails into CRM, linking them to the correct lead or deal.

Remind sales reps to call leads

Sends reminders to call leads at times with highest engagement potential.

Rescheduling for missed calls

Detects missed calls and rebooks meetings based on availability.

AI sales coaching during calls

Provides live tips and feedback during sales calls based on conversation flow.

Partnership opportunity detection

Identifies potential partners based on lead data, industry, and mutual fit.

Appointment reminders

Sends automated reminders for scheduled visits via SMS, email, or WhatsApp.

Auto-Scheduler Bot

Books meetings and syncs with calendars across platforms.

Revenue Predictor Agent

Predicts future revenue based on pipeline and historical trends.

Customer Feedback Analyzer

Analyzes customer feedback to identify trends, issues, and improvement areas.

Remind sales reps to call leads

Sends reminders to call leads at times with highest engagement potential.

Auto-Scheduler Bot

Books meetings and syncs with calendars across platforms.

Lost Deal Analysis Agent

Analyzes lost deals to uncover reasons and suggest improvements.

AI reminders

Value Proposition

Use objective call insights to coach consistently and at scale, replacing subjective reviews with measurable, repeatable feedback.

Lift win rates by spotting and resolving real objections sooner—pricing pushback, timeline concerns, and hidden blockers don’t slip by.

Get unbiased readouts on product messaging and customer pain points to refine talk tracks and positioning with confidence.

FAQ

How accurate is the sentiment analysis?

It uses state‑of‑the‑art language models tuned for business conversations to classify positive, neutral, and negative segments with high reliability across common sales scenarios.

Does it work for different languages and accents?

Yes. It supports multiple languages and is trained to handle a wide range of regional accents during transcription and analysis.

How is the data presented to a sales manager?

Insights appear in an interactive dashboard with search and filters. Clicking a tag like “competitor mention” or “pricing” jumps directly to that moment in the recording and transcript.

Is our call data kept private?

Yes. All recordings and transcripts are encrypted in transit and at rest, isolated to the account, and never shared or used outside the organization’s analysis.

Can reps see the analysis of their own calls?

Yes. Reps get call summaries, sentiment timelines, and flagged moments for self‑coaching, helping them improve without waiting for a manager review.

Automate with AI

Start your free trial today.

Unlock the hidden insights in every conversation. Coach your team with data, not guesswork. Activate your Sentiment Analysis Agent.

CRM Software has this features:

Every business does things a little bit differently, leading to very diverse needs. While there are some functions that are quite standard across the board, there are often functions that an out-of-the-box solution may not be able to handle.

Thousands of businesses do not use their CRM to its maximum effect, which can reduce productivity, customer satisfaction, and sales. It can be difficult for an organization to implement or manage a CRM tool, especially if they lack the required IT expertise, and what works well for another organization may not work so well for yours

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