“Listen closely, and reply well.” A good rule of thumb for any customer conversation! But if it was this easy, why do some businesses nail it while some fail? You guessed it – they have conversational analytics software.

In fact, Gartner had predicted that by 2026, conversational AI within contact centers will reduce agent labor costs by $80 billion. It’s not hard to see why. By partially automating the process with AI, conversational analytics can save costs on sales outreach, agent labour, data analysis, and reduce interaction time by up to a third.

That’s why conversational analytics software is crucial. To help you out, we have shortlisted seven tools that can drastically improve the quality of your sales conversations and customer interactions.

7 Best Conversational Analytics Software in 2024

Here’s a breakdown of the top 7 contenders in 2024:

SurveySparrow
DialerHQ
CallRail
Gong
Avoma
MeetGeek
HubSpot Sales Hub

1. SurveySparrow – For Omnichannel Insights

Conversational analytics software: SurveySparrow - Homepage

SurveySparrow is a full-fledged survey platform whose core strength lies in data collection and analysis. It has a range of powerful features including survey logic, real-time reports and mobile-friendly forms. So, what makes it one of our top picks for conversational analytics software?

Top Features:

Conversational chatbots: Create bots using conversational forms in 130+ languages.
Wings AI: Get AI assistance for 20+ areas from form design to response management.
Omnichannel data collection: Analyze conversations across online channels, including SMS, emails, social media interactions, and chatbot interactions
Sentiment analysis: Detect customer satisfaction, frustration, or confusion within conversations.
AI-powered text analysis (CogniVue): Automatically identify recurring topics, key drivers, and shifts in conversational patterns.
Integrations: Integrate with your existing helpdesk, CRM, or other business intelligence tools. This will help you get a more unified view of your data.
Customer journey mapping: Track customer interactions across touchpoints. This will help you understand their overall journey.
Executive dashboards: Create catchy visual dashboards to show the key metrics that are relevant for you.
Speech-to-Text analysis (WIP): Instantly analyze voice recordings and extract insights.

Weak points: SurveySparrow currently lacks an in-built functionality for capturing phone conversations. To solve this, you can integrate it with your current VoIP tool via Zapier.

Pricing: Starts at $7 per month. The only drawback is that CogniVue is not part of the main pricing plan, but we’ll be happy to show you how it works with a free demo.

Interested in trying out SurveySparrow? Enter your email below for a free trial. You can switch later to the Free Forever plan if needed.

2. DialerHQ – For Voice Call Insights

Conversational analytics tool for voice calls: DialerHQ - Homepage — Source: DialerHQ

DialerHQ is a contact center solution that’s primarily famous for its cloud phoning system. However, it also has a range of features that help improve communication with customers.

Top features:

Advanced call management: Get customizable call forwarding, voicemail transcription, and call recording options. This quickly converts audio data into analysis-ready text.
CRM integrations: Connect DialerHQ with popular CRM tools like PipeDrive, HubSpot, Zoho, Salesforce, Shopify, and Slack. This ensures that you don’t have to juggle customer data.
Call tracking and analytics: The software provides valuable insights into call patterns and performance metrics. This is crucial for refining your communication strategy.
Real-time coaching: Take on-the-job mentoring to the next level; allow managers to offer feedback during calls.

Weak points: DialerHQ focuses on call metrics, and does only basic sentiment analysis. So it might not be the best option if your business uses multiple channels.

Pricing: Starting from $24.99 per user per month.

3. CallRail – For Trackable Conversations

Conversational analytics software: CallRail - Homepage — Source: CallRail

Despite its name, CallRail lets you analyze both forms and calls; you can also club both modules together for a more in-depth analysis. What we really want to talk about though, is their conversational analytics software.

Top features:

AI-driven recording and transcription: Transcribe every phone call and generate detailed records. This feature is helpful to identify key phrases, pain points, and customer concerns.
Conversational tracking: Track calls, texts, forms, and chats exactly like how we track clicks
Keyword detection: Automatically detect keywords in conversations. For example, if you own a restaurant business and you frequently come across the phrase “taste of the food” , that’s an area you need to look into.
Dynamic number insertion: Assign unique tracking numbers to each marketing campaign. This will enable you to track the source of incoming conversations. Neat, isn’t it?
Reports and dashboards: Schedule reports and view the results on your dashboard.

Weak points: CallRail focuses on lead attribution and conversion tracking, not in-depth conversation analysis.

Pricing: Pricing starts at $30 / month for the Essentials plan, which includes call tracking, recording, and analytics.

4. Gong – For Stronger Sales Teams

Conversational intelligence tool with analytics features: Gong - Homepage — Source: Gong

Used by some of the top SaaS companies like Facebook and Paypal, Gong has a range of features for analyzing and optimizing sales conversations. It uses AI to analyze conversations from various sources – including audio and web conferencing platforms like Cisco WebEx, GoTo Meeting and Zoom.

Top features

Real-time transcription: Do a surface-level analysis of conversations as they happen, or do an in-depth analysis later.
AI-driven insights: Use AI to identify stock phrases, competitor mentions, and product references, as well as sentiment analysis.
Deal Intelligence: Analyze interactions between reps and prospects, and flag the areas where you risk losing a prospect.
People Intelligence: Identify top-performing reps and break down their strategies. You can then pass on these strategies in future coaching sessions.
AI-driven recommendations: Analyze successful conversations with AI. Based on that, you will get suggestions for improving sales skills.

Weak Points: Gong’s focus lies heavily on sales conversations. So if you want a full-fledged analysis of all customer service interactions, this is not the tool for you. Plus, it’s more expensive compared to other tools on this list.

Pricing: Pricing starts at $25 per user per month for the Basic plan, which includes conversation intelligence and analytics.

5. Avoma – For Customer-Facing Teams

Conversational analytics for meetings: Avoma - Homepage — Source: Avoma

For sectors that thrive on direct interactions with customers – like consulting, real estate, financial services or event planning – Avoma is an incredibly handy tool. This conversational analytics software helps you capture key customer information before, during, and after meetings.

Top Features:

Summarization: Automatically capture key points, next steps, and action items from meetings. This ensures that everyone’s on the same page.
Automated transcription: Save all conversations for easy reference later.
Activity dashboard: Get an overview of conversations across your company – both internal and customer facing.
Interaction intelligence: Spot red flags such as monologues, filler words, talk times and conversation level.
Integrations: Integrate with popular CRM, calendar, dialer and conferencing apps.
Other features: Sales intelligence, AI forecasting

Weak points: While Avoma offers sentiment analysis, it’s limited. Also, if you find it hard to keep up with highly technical, jargon-filled conversations, unfortunately, so does the AI.

Pricing: Plans start at $25 per user per month for the Basic plan.

6. MeetGeek – For a Simple, Easy to Use Interface

Conversational analytics tool for meetings: MeetGeek - Homepage — Source: MeetGeek

While Avoma is a comprehensive software that offers features beyond meeting notes, MeetGeek is more of a stripped-down tool. It focuses on simplifying the workflows that happen after a meeting.

Top features:

Automated note-taking: Get AI-powered meeting recaps in 20+ languages.
Meeting highlights: Capture important information and decisions, and share them with the rest of your team.
Meeting types: The software can handle multiple meeting types, including customers, interviews, product research, team meets and online classes.
Search past meetings: Access information from all previous meetings in a single hub.
Sentiment analysis: Measure meeting efficiency, engagement and participation levels.
Integrations: Connect with popular tools for conferencing, scheduling, project management, and CRMs.

Weak points: MeetGeek lacks advanced conversation analytics like sentiment analysis.

Pricing: Plans start at $25 per user per month for the Basic plan.

7. HubSpot Sales Hub

HubSpot's conversational analytics tool - Homepage — Source: HubSpot

If you’re looking for a more reasonable priced alternative to Gong, check out HubSpot Sales Hub. It is a comprehensive platform with a built-in tool for conversation analytics.

Top features:

HubSpot AI: Use it to craft compelling emails and CTAs for prospects.
Performance tracking: Understand how your team is performing on customer interactions.
Team coaching: Enable managers to train new reps, find top performers, see performance patterns, and leave feedback.
Conversation analysis: Get highlights of specific insights in each conversation

Weak points: HubSpot has a reporting and dashboard feature, but you’ll have to purchase that separately. Also, it does not have omnichannel capabilities on the same level as other tools on this list.

Pricing: Starts at $50 per month for the Starter plan, which includes basic sales analytics and integrations.

Conversational Intelligence vs. Conversational Analytics: 5 Key Differences

“Conversational analytics” and “conversational intelligence” are often used interchangeably. And indeed, they both focus on extracting data from conversations. But there are a few key differences.

Category	Conversational Intelligence	Conversational Analytics
Definition and Purpose	Processes and manages conversations in real-time. It analyzes the emotional and social context of a conversation, helping your team to better understand its nuances, build trust, and improve relationships.	Analyzes recorded conversations to extract insights. It uses technologies like natural language processing (NLP) and machine learning to analyze speech and text data. The goal is to uncover patterns, trends, and sentiments.
Core Functions	Real-time conversation analysis and feedback \| Sentiment detection to guide your responses \| Communication coaching tools \| Training tools for active listening	Post-conversation data analysis \| Transcription and keyword extraction \| Sentiment analysis and trend identification \| Reporting and visualization of CX metrics
Applications	Improving a team’s real-time communication skills\| Employed in customer service interactions, training, and leadership programs	Analyzing customer service calls, sales conversations and other interactions \| Used to improve products, customer service strategies and marketing campaigns
Outcomes	Better communication skills, customer interactions, and enhanced emotional intelligence.	Actionable insights from past data, better business decisions, improved business processes.
Tools and Tech	Real-time emotion and sentiment analysis \| Interactive feedback systems \| Communication skill-building modules.	Speech and text analytics \| Machine learning models for pattern recognition \| Dashboards for visualizing conversation data

In short:

Conversational intelligence is about using incoming data smartly, while conversational analytics is about using past data to make your processes better. And, there are plenty of tools in the market that can do both. That’s why we created this shortlist.

Wrapping Up

That wraps up our list of the top conversational analytics tools for 2024.

Now, choosing the right tool depends on your specific needs. You need to consider factors like budget, the types of conversations that you want to analyze, and existing tools that you need to integrate with.

With this guide, you’re well on your way to unlocking the power of conversational insights. Adios!

Conversational Analytics Software: Our Top Tools for 2024