AI call transcription sentiment
Sentiment analysis on calls
Archiz agent provides advanced call sentiment analysis to uncover hidden risks in every conversation. It goes beyond words to offer true sentiment analysis on calls, detecting tone shifts and hesitations that signal doubt. This allows reps to address real objections and managers to coach more effectively
See it in action
improving sales using sentiment analysis
The Missed Moments: Why You Need Sentiment Analysis on Calls
Your forecast is at risk, and the reason is hidden in plain sight. It’s in the slight, almost imperceptible hesitation a prospect makes before agreeing to your price. It’s in the polite but hollow “sounds interesting” when your rep finishes a pitch. It’s in the quick, dismissive tone used when a competitor’s name is mentioned. These are the moments where deals are truly won or lost, and without effective sentiment analysis on calls, you are completely blind to them.
Your managers can only listen to a tiny fraction of calls, forcing them to rely on subjective, often misleading, self-assessments from reps. They miss the quiet objections and the critical coachable moments that could turn a “maybe” into a “yes.” As a result, your team isn’t learning from its mistakes, real customer concerns are going unaddressed, and winnable deals are slipping through the cracks. This is the core, costly problem that advanced call sentiment analysis is designed to solve
AI-powered sentiment analysis tools
Key Features
AI Call Sentiment Analysis
Our platform provides AI call transcription with sentiment analysis, converting speech to text and scoring the emotion behind the words to reveal what’s really being said.
Key Moment Detection
Archiz’s conversation intelligence agent automatically flags critical events like pricing discussions and objections, allowing managers to instantly review the most important moments of any call.
Sales Call & Trend Analysis
Use archiz sales call analytics to analyse trends across thousands of calls. Instantly spot which competitors are mentioned most or which features generate the most positive customer reactions.
Lead scoring best practices
Use Cases for Sentiment analysis on calls
Enterprise Software: Proactive Objection Handling
Used sales call analytics to uncover a recurring pricing misunderstanding. Rolled out targeted enablement that improved how reps navigate price conversations and reduced deal stalls by 18%.
Telecommunications: Data-Driven Campaign Optimisation
Aggregated call sentiment analysis trends to find a feature driving positive reactions. They elevated it in campaigns, which resulted in a 12% lift in customer engagement.
Cybersecurity Startup: Saving At-Risk Deals
A rep used the AI call transcription with sentiment summary to spot a missed concern, addressed it in follow-up, and turned a near-loss into a closed-won deal.
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.
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.
Benefits of sentiment analysis on calls
Value Proposition
Replace subjective reviews with measurable call insights to coach your team consistently and at scale
Spot and resolve real objections sooner, ensuring pricing pushback and hidden blockers don’t kill deals
Get unbiased readouts on product messaging and customer pain to refine your sales playbook
Frequently Asked Questions
Our sentiment analysis on calls uses state-of-the-art language models to reliably classify positive, neutral, and negative segments with accuracy on par with human analysts.
Yes. Our platform supports multiple languages and is trained on diverse datasets to accurately handle a wide range of regional accents during transcription and call sentiment analysis.
Our sales call analytics are presented in an interactive dashboard. Managers can click on a tag like “competitor mention” to instantly jump to that moment in the recording.
Yes. Our conversation intelligence software encrypts all recordings and transcripts. Your data is isolated to your account and never shared or used for any external purpose.
Absolutely. Reps get access to their own call summaries and sentiment timelines, enabling effective self-coaching and improving sales using sentiment analysis without waiting for a manager.
Yes, our call center sentiment analysis software offers real-time sentiment analysis on calls, allowing supervisors to get live alerts on conversations with escalating negative sentiment so they can intervene if necessary.
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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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