Skip links
Odin AI sales call analysis

5 Best Sales Call Analysis Software for Accurate Insights

Incorporate Odin's AI-powered knowledge repository into your company strategy to unleash its full potential. Discover how advanced AI streamlines information retrieval, boosts productivity, and enhances customer support. Try Odin today!

Guru Angisetty AI in Marketing and Sales | Guru Angisetty
December 13, 2024
Share

For sales teams to thrive, it’s important to make calls and learn from them.

Sales call analysis software, which includes advanced conversation intelligence software, is a powerful tool that lets sales teams understand and improve their call strategies by analyzing customer interactions in real time.

Every phone call with a potential customer is an opportunity to extract valuable insights. From tracking the tone of customer conversations to identifying objections, analyzing sales calls with conversation intelligence and call analytics provides actionable insights that help improve sales performance.

In this blog post, we’ll discuss some of the best conversation intelligence software available today. We’ll also introduce Odin AI and show how its software can help sales managers and reps excel.

Book a demo with Odin AI and see how it simplifies your workflow!

What is Sales Call Analysis Software?

Sales call analysis software is a tool designed to help businesses gain insights from customer interactions.

It uses technologies like artificial intelligence and machine learning to capture, transcribe, and analyze customer calls to extract valuable insights.

The goal is to give sales teams data-driven insights into how conversations progress, what’s working, and what needs improvement.

At its core, conversation intelligence software is built to monitor and evaluate the key elements of a sales call, which include:

  • Language used by sales reps
  • Tone of voice
  • Sentiment of customer interactions
  • Response time
  • Engagement level
  • Call structure

These elements provide a comprehensive view of how each sales call progresses and what areas need improvement.

This data allows teams to see patterns that might otherwise go unnoticed. For example, if a common objection arises in multiple calls, the software can help identify it and suggest ways to overcome it in future conversations.

Recommended Reading
What Is Conversational AI? How It’s Changing Customer Service

Start your 14-day free trial with Odin AI and get valuable insights today!

5 Top Sales Call Analysis Software

There are many platforms available for sales call analysis software. While traditional tools have been built specifically for this purpose, Odin AI offers a unique and powerful solution beyond just sales call analysis by integrating advanced conversation intelligence.

Here’s a look at the top tools.

1. Odin AI

Odin AI

 

Odin AI is a versatile platform that goes beyond traditional sales call analysis software by offering a powerful suite of tools for recording, transcribing, and analyzing conversations.

These capabilities make it a strong contender for businesses looking to optimize their sales processes through AI-powered transcription and real-time insights.

Odin AI integrates seamlessly with popular platforms like Zoom, Google Meet, and Microsoft Teams, so businesses can easily capture and analyze meetings or sales calls without disrupting their existing workflows.

Odin AI provides:

  • AI-powered transcriptions with 96% accuracy
  • Intelligent summaries
  • Unlimited, real-time transcriptions

This helps sales teams focus on what matters most—closing deals. Its conversation intelligence feature allows teams to gain deeper insights into customer emotions.

Whether your goal is to streamline sales meetings or improve team productivity, Odin AI provides a user-friendly solution that can integrate seamlessly into your existing workflow.

Pricing:

  • Teams Plan: $2,500 per month, ideal for small and medium businesses
  • Enterprise Plan: Custom pricing, suitable for large-scale corporations and businesses

Odin AI also offers a 14-day free trial so businesses can explore the platform’s features before committing to a plan.

Discover how Odin AI can transform your sales process—book a demo today and see it in action for yourself.

2. Gong.io

Gong

Source: Gong.io

Gong.io is a sales call analysis software that extracts insights from customer conversations using AI-powered transcription and analysis. The platform supports sales teams in improving their sales pipeline by analyzing calls to provide insights on deal progress, customer sentiment, and rep performance.

Gong’s Revenue Intelligence Platform captures interactions from various communication channels, including calls, emails, and video meetings, and delivers comprehensive feedback on what drives deals forward. 

Its features, such as predictive deal intelligence and real-time coaching tools, suit businesses aiming to increase revenue and optimize sales performance.

Pricing

  • Custom pricing

3. Chorus.ai

Chorus

Source: Zoominfo.com

Chorus, now part of ZoomInfo, is a conversation intelligence platform that helps sales teams capture, transcribe, and analyze customer conversations across various channels, including calls, meetings, and emails.

With real-time transcription and in-depth insights into deal progress and team performance, Chorus helps sales teams understand why deals are won or lost and improve their approach through detailed coaching opportunities.

The platform’s AI-driven analytics provide actionable feedback that helps sales leaders make informed decisions and forecast more accurately. Chorus also integrates with CRMs to track customer interactions.

Pricing

  • Custom pricing

4. Observe.ai

Observe

Source: Observe.ai

Observe.ai is a conversation intelligence platform designed for contact centers. It uses AI to optimize real-time and post-interaction insights. 

The platform helps sales agents and customer service teams improve performance through features like real-time call guidance, post-interaction quality assurance, and detailed analytics.

With its ability to provide contextual prompts and automate quality checks, Observe.ai lets agents offer better customer experiences, guarantee compliance, and boost overall productivity. Its integrations with popular contact center solutions make it a suitable addition to any enterprise’s tech stack.

Pricing

  • Custom pricing

5. ExecVision

ExecVision

Source: Execvision.io

ExecVision is software that targets sales performance by enabling sales teams to extract insights from conversations. Focusing on improving your “middle 60%” performance, ExecVision leverages customer interaction data to provide actionable feedback and coaching.

Its platform offers conversation intelligence tools such as smart alerts, performance dashboards, and the ability to tag and search conversations for key insights. This combination of tools supports sales teams to refine their approach and increase conversions.

Pricing

  • Custom pricing

Experience smarter decision-making—schedule your demo with Odin AI!

Key Benefits of Sales Call Analysis Software

Sales call analysis software is important in helping sales teams optimize their strategies and improve overall performance.

This tool, often powered by conversation intelligence, gives sales and marketing teams a clearer picture of what’s happening during sales calls by providing a detailed analysis of customer interactions.

The insights gained through conversation intelligence help teams refine their approaches, better understand customer needs, and drive better sales results.

Improving Sales Team Performance

Sales call analysis software gives sales leaders access to data-driven insights showing how their team performs. With features like call analytics and conversation intelligence software, managers can identify high-performing reps and those who need coaching. 

This allows for targeted improvement that leads to better overall performance.

Gaining Deeper Customer Insights

Understanding how customers feel during conversations is vital for closing deals. Sentiment analysis enables sales teams to gauge customer interaction and identify key moments when customers are interested or hesitant. 

This helps teams respond more effectively during the call and build stronger relationships with potential clients.

Improving Sales Processes

Sales call analysis software can help refine and streamline the sales process by identifying:

  • Common objections
  • Successful tactics
  • Opportunities for improvement

For example, if the software shows that most deals fall apart during the pricing discussion, the team can adjust how they present pricing information to improve outcomes.

Tracking Key Metrics and Performance

Tracking key metrics gives sales managers a comprehensive view of the team’s performance by leveraging conversation intelligence to analyze critical aspects of each call.

Key metrics to look out for include:

  • Talk-to-listen ratio
  • Objection handling
  • Response time
  • Time spent discussing features vs. benefits
  • Call duration

These conversation intelligence insights, provided through call analytics, allow managers to refine coaching strategies and help reps improve specific skills.

See Odin AI in action—book a personalized demo now!

Recommended Reading
Enhancing Customer Experience in E-commerce with AI Chatbot

Odin chatbot personalized recommendations

Methods and Techniques for Sales Call Analysis

Sales call analysis software employs a variety of methods and techniques to extract actionable insights from sales calls.

These techniques enable the sales team to identify trends, track performance, and improve their approach to handling calls using advanced conversation intelligence software.

Below are the most common methods used in sales call analysis:

Real-Time Transcription

One of the core features of any conversation intelligence software is the ability to transcribe sales calls in real time. This allows sales managers to have a written record of every call, which makes it easier to review key points and track call data. 

With Odin AI’s transcription tool, sales managers can instantly access transcribed conversations.

Sentiment Analysis

Sentiment analysis is another method employed by sales call analysis software. It works by analyzing the tone and emotion behind the words spoken in the sales calls by both the sales rep and the customer.

This use of conversation intelligence data helps the sales team understand how customers are feeling during the call, whether they’re:

  • Engaged
  • Frustrated
  • Indifferent

This real-time emotional insight allows sales teams to adjust their approach accordingly to improve customer satisfaction, boost customer engagement, and drive better outcomes.

Keyword Tracking

Tracking specific keywords and phrases mentioned during a call is vital for understanding the flow of the conversation. For example, sales reps can monitor when customers mention:

  • Competitor names
  • Product features
  • Price objections

This information can help identify key moments where the rep needs to dive deeper or adjust their approach. 

Call Scoring

Call scoring is a method of evaluating a sales rep’s performance during a call. By scoring calls based on metrics, sales managers can measure the overall effectiveness of each call.

Key metrics to look out for include:

  • Clarity of communication
  • Handling objections
  • Product knowledge
  • Rapport building
  • Ability to close the deal
  • Active listening
  • Response to customer concerns

This scoring system provides coaching insights so managers can focus on specific areas where a rep needs improvement.

Natural Language Processing (NLP)

Natural language processing is a foundational technology in conversation intelligence software. It enables the software to understand not just the words spoken but also the context in which they’re used. 

NLP allows the system to detect specific topics, track sentiment, and highlight moments of interest during a call.

Turn meetings into actionable insights—try Odin AI for free!

Recommended Reading
How Odin AI is Changing the Customer Service Dynamics of Call Center Operations?

Real-Life Applications of Sales Call Analysis Software

Sales call analysis software offers numerous practical applications that help businesses optimize their sales processes and improve their sales team’s performance through conversation intelligence.

Below are several real-world applications of conversation intelligence features and machine learning that drive impactful results:

Sales Coaching and Training

One of the most impactful uses of sales call analysis software is in coaching and training sales reps. By analyzing sales calls, sales managers can provide detailed feedback based on actual conversations, which helps improve customer satisfaction.

For instance, if a rep struggles with handling objections, the software can pinpoint exactly where things went wrong in the conversation and provide critical insights and coaching recommendations for improvement.

Improving Sales and Marketing Alignment

Sales call analysis also helps bridge the gap between sales and marketing teams. By analyzing customer interactions, marketing teams can gain insights into customer:

  • Pain points
  • Objections
  • Preferences

This information can be used to create more targeted campaigns. For example, if the software reveals that many customers are confused about a specific product feature, marketing can develop content to address this issue. 

This guarantees that both teams work towards the same goals and deliver a consistent message to potential customers.

Optimizing Sales Pitches

Another practical application is refining sales pitches. Sales call analysis software enables reps to see what works and what doesn’t in real time.

For example, if a particular approach to presenting a product or service is consistently successful, the software will highlight this.

Conversely, if certain objections frequently shut down conversations, the sales team can adjust their pitch to address those issues earlier in the call.

Monitoring Sales Pipeline and Deal Progression

Sales call analysis software is invaluable for tracking the sales pipeline and guaranteeing that deals progress smoothly.

By analyzing customer interactions at different pipeline stages, sales leaders can gain customer insights that help them identify potential issues before they become roadblocks.

These insights allow sales leaders to make proactive adjustments that keep deals on track and improve overall pipeline efficiency.

See how Odin AI can help your business—sign up for a demo now!

Recommended Reading
The Ultimate Guide to Marketing Tasks Automation

Odin AI Is The Ultimate All-in-One Solution for Conversation Insights

Odin AI

When it comes to selecting a powerful platform to improve your business processes, Odin AI stands out from the competition with its all-in-one approach.

Unlike other tools that primarily focus on conversation intelligence, Odin AI offers a comprehensive suite of features that combines real-time transcription, AI-generated insights, and robust analytics to deliver valuable insights.

This integration allows businesses to analyze customer interactions and improve team performance and decision-making. 

Its advanced AI capabilities make it one of the best conversation intelligence software solutions for organizations looking to streamline both sales and operational workflows.

If you’re ready to elevate your business processes, there’s no better time to explore Odin AI.

Book a demo today to see how Odin AI can transform the way your team engages with customers and optimizes performance.

Have more questions?

Contact our sales team to learn more about how Odin AI can benefit your business.

FAQs About Sales Call Analysis Software

Sales call analysis refers to the process of evaluating sales calls to gather insights on customer behavior, communication patterns, and overall sales effectiveness. It often involves reviewing conversations for key moments, objection handling, and sentiment analysis.

Sales analysis software is a tool that helps organizations track, evaluate, and optimize their sales performance. It provides data-driven insights by analyzing various metrics, such as sales trends, customer behavior, and pipeline performance.

A conversational intelligence tool leverages artificial intelligence (AI) to analyze conversations between sales reps and customers. It transcribes and interprets dialogues. This provides insights on engagement, sentiment, and the effectiveness of communication strategies.

A Gong conversation summary is an AI-generated overview of key insights from customer or sales calls captured by the Gong platform. It highlights important moments, action items, and important discussions which allows sales teams to focus on what matters most without having to listen to entire conversations.

Odin AI stands out by offering an all-in-one platform that goes beyond traditional sales call analysis. While most sales call analysis software focuses solely on call transcription and data insights, Odin AI provides comprehensive meeting management, transcription, and advanced AI analysis across various communication channels.

Most sales call analysis software follows strict security protocols, which include encryption to guarantee that sensitive data from customer interactions is protected. Many platforms also offer compliance with industry standards such as GDPR and SOC 2.

Yes, advanced sales call analysis software can track multiple participants during a call. It can differentiate between speakers, analyze their contributions, and provide call analytics insights specific to each participant, which helps better understand each customer's interaction during the call.

Call recording simply captures audio from a call for later review, while sales call analysis uses AI and machine learning to transcribe, evaluate, and provide actionable insights from those recordings. Sales call analysis tools can identify patterns, sentiment, and key moments in customer calls, while call analytics helps sales teams make data-driven decisions, going far beyond basic audio capture.

AI enhances sales call analysis by automating the transcription of customer calls, detecting sentiment, tracking key moments, and providing real-time feedback. AI-driven call analytics allows sales teams to make data-backed decisions faster and improve their strategies based on insights gathered from each customer interaction.

Sales teams should regularly review call analytics data—ideally on a weekly or bi-weekly basis. Frequent reviews help teams track progress, identify trends in customer interactions, and adjust their strategies in real time to improve their approach and sales outcomes.

Explore
Drag