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Customer experience
8 min read

15 best voice of customer tools (updated 2025)

AskNicely Team
March 20, 2025

15 best voice of customer tools (updated 2025)

Understanding what your customers think, feel, and expect is the key to delivering an exceptional experience. In other words, when you know exactly what will make your customers stay or walk away, you're able to create experiences that truly resonate. The process of understanding these sentiments can be captured using what we call, Voice of the Customer (VoC) programs. 

By capturing customer feedback across various touchpoints, you can identify opportunities for improvement, refine your products and services, and ultimately drive stronger customer loyalty.

However, collecting and analyzing VoC data isn’t always easy. Teams often struggle with fragmented feedback channels, overwhelming amounts of unstructured data, and the challenge of turning insights into meaningful action. This is where VoC tools make all the difference. With advancements in AI and automation, modern VoC platforms help businesses streamline feedback collection, extract actionable insights, and embed customer-centric decision-making into their daily operations.

So, what are the best VoC tools available in 2025? Let’s take a look at important features, and benefits, and how to choose the best platform for your business. Whether you're looking to improve customer satisfaction, enhance brand loyalty, or optimize your service delivery, the right VoC tool can help you make data-driven decisions with confidence.

Let’s dive in!

What are voice of the customer tools?

Voice of the customer (VoC) tools are software solutions designed to help you collect, analyze, and act on customer feedback. These tools capture insights from multiple sources, including customer surveys, online reviews, social media, and customer support interactions, to help businesses understand customer needs, pain points, and customer expectations. By aggregating and processing this data, VoC tools offer companies the information needed to make informed, customer-centric decisions.

Types of data collected by VoC software

  • Surveys and questionnaires: Net promoter score (NPS), customer satisfaction (CSAT), and customer effort core (CES) surveys. These surveys help you solicit information directly from your customers about a specific interaction or experience.

  • Online reviews: Feedback from review platforms like Google Reviews, Trustpilot, and industry-specific review sites. This is frequently unsolicited feedback that customers offer up themselves, and can often capture the extremes of experiences.

  • Social media: Mentions, comments, and sentiment trends from social platforms like X (formerly Twitter), Facebook, and LinkedIn. Social media feedback is usually unsolicited and can range in how beneficial they are.

  • Support interactions: Valuable insights and metrics from customer service calls, chat logs, and email correspondence. This is some of the richest information you can gather from customers.

Why VoC tools matter

Implementing a VoC tool helps businesses extract meaningful insights from raw customer data, leading to tangible benefits. Using these tools the right way to take action can lead to improved customer satisfaction and loyalty. This increase in satisfaction comes from customers feeling as though their concerns are addressed proactively and that they’re taken care of. In addition to refining the customer experience, VoC tools can help you identify areas to enhance the product or service you offer, too. Using actual feedback to make these changes helps you meet customer needs in an optimal way.

Types of VoC tools

There are several categories of VoC tools, each serving a unique role in collecting and analyzing customer insights:

  • Full-service CX/VoC management tools: Platforms like AskNicely that automate feedback collection, analysis, and most importantly, action.

  • Sentiment analysis tools: AI-powered solutions that assess customer emotions and opinions in text-based feedback.

  • Social listening tools: Software that monitors brand mentions and customer opinions across social media.

  • Customer support analytics: Tools that analyze interactions from customer service channels to identify trends and pain points.

With so many options available, choosing the right VoC tool depends on your business goals and the type of insights you need. In the next section, we’ll dive into the best VoC tools on the market for 2025.

Start creating your own surveys.

Download our VOC Template for free.

Benefits of voice of the customer analytics tools

Manually collecting and analyzing customer feedback, or using antiquated platforms, presents several challenges. Businesses often struggle with fragmented data sources, time-consuming analysis, and platforms that don’t help turn insights into meaningful action. Without a structured approach, feedback can become inconsistent, siloed, and reactive rather than proactive.

While every tool is different, generally VoC tools address these challenges by offering:

  • Efficiency and time savings
  • Enhanced accuracy and reduced human error
  • Scalability
  • Comprehensive data integration
  • Advanced analytical capabilities
  • Actionable insights and reporting
  • Enhanced collaboration and communication
  • Cost-effectiveness
  • Benchmarking and continuous improvement

15 Best voice of the customer tools of 2025

With so many VoC tools available, choosing the right one depends on your business needs, goals, and existing tech stack. Below, we’ve highlighted some of the best options on the market, starting with the top choice: AskNicely.

1. AskNicely

AskNicely is an easy-to-use customer experience platform that helps businesses collect, analyze, and act on customer feedback in real-time. Unlike traditional survey tools, AskNicely integrates seamlessly into daily workflows, ensuring that frontline teams receive the insights they need to improve customer interactions immediately. With a focus on simplicity, automation, and impact, AskNicely empowers businesses to make customer experience improvements that drive retention, referrals, and revenue growth.

Key features:

  • Short AI-powered surveys that dynamically adjust in real-time
  • Instant trends and recommendations
  • Real-time CX goal setting and tracking
  • Daily habit enablement 
  • Integrations with platforms like Salesforce, Microsoft Teams, and HubSpot 
  • Quick impact visible in just weeks

Reviews

AskNicely is highly rated for its ease of use, automation, and ability to drive measurable customer experience improvements. Users appreciate its simplicity and the way it integrates into daily operations.

“Using AskNicely, we now understand what customers think of the experience and how to improve it in real time. It’s also created an environment of betterment for our employees.” – Robert Arthur, Business Development Manager, Jiffy Lube

Pros and Cons

Pros:

  • Intuitive and user-friendly interface
  • Strong automation capabilities for real-time feedback collection
  • Customizable dashboards and reporting for different team needs
  • Seamless integration with popular CRM and support platforms
  • Empowers frontline teams with goals, appreciation, and tracking
  • Proven impact

Cons:

  • Doesn’t include social media listening - but integrates with tools that provide those services. 

What kind of companies use AskNicely?

AskNicely is ideal for service businesses, multi-location brands, and companies with frontline teams that rely on real-time customer feedback. Industries that benefit most include healthcare, hospitality, retail, and home services.

Pricing

AskNicely offers custom pricing based on business needs. Find the right plan for your service business here

G2 ratings and case studies

AskNicely has received almost 1000 high ratings on G2 (4.7 out of 5 stars), with users praising its simplicity, automation, and ability to drive frontline improvements. 

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2. MonkeyLearn

Overview:
‍
MonkeyLearn is an AI-powered text analysis tool that helps businesses extract insights from customer feedback. It specializes in sentiment analysis, keyword extraction, and topic classification, making it a great choice for businesses that need to analyze large volumes of unstructured data from customer reviews, surveys, and social media.

Key features:

  • AI-driven sentiment analysis and text classification
  • Customizable machine learning models
  • Real-time data processing
  • Integration with Zapier, Google Sheets, and CRMs

Best for: Companies looking for automated text analytics to process large volumes of qualitative feedback.

Pros:

  • Advanced AI capabilities
  • Flexible and customizable models
  • No coding required for basic setup

Cons:

  • Not a full VoC platform — focuses mainly on text analytics
  • Requires integration with other tools for a complete VoC strategy

G2 Reviews: MonkeyLearn has less than 5 reviews on G2.

3. Medallia

Overview:
‍
Medallia is an enterprise-grade VoC platform that collects, analyzes, and distributes customer feedback across organizations. It’s designed for large businesses that need comprehensive customer experience management, including predictive analytics and AI-powered insights.

Key features:

  • Omnichannel feedback collection (surveys, call center, social media, etc.)
  • AI-powered sentiment and predictive analytics
  • Automated workflows for real-time customer response
  • Integration with CRMs and business intelligence tools

Best for:
Enterprises and large organizations in need of a robust VoC solution with predictive analytics.

Pros:

  • Powerful analytics and AI-driven insights
  • Supports large-scale, enterprise-wide VoC initiatives
  • Strong automation and integration capabilities

Cons:

  • Expensive compared to other VoC solutions
  • Can be complex to implement and customize
  • Higher focus on collection, instead of action. 

G2: Medallia has an average score of 4.5 stars on G2 however they have a small number of reviews compared to competitors. 

4. Sentisum

Overview:
‍Sentisum is a customer feedback analysis tool that uses AI to provide instant insights from support tickets, reviews, and surveys. It helps businesses reduce manual tagging and prioritize high-impact customer issues.

Key features:

  • AI-powered automated ticket tagging and categorization
  • Real-time customer sentiment tracking
  • Integration with Zendesk, Intercom, and other support platforms
  • Customizable dashboards with actionable insights

Best for:
Customer support teams looking to automate feedback categorization and identify trends quickly.

Pros:

  • Reduces manual effort in support ticket analysis
  • Helps teams quickly identify recurring customer issues
  • Integrates well with helpdesk platforms

Cons:

  • Limited to support and service-related VoC insights
  • Not a full-scale VoC tool for all customer feedback sources

G2: Sentisum has a 4.8 rating on G2, but with only 14 reviews.

5. Confirmit (Forsta)

Overview:
Confirmit, now part of Forsta, is a VoC and market research platform that provides deep analytics and survey management. It’s widely used for customer, employee, and market research programs.

Key features:

  • Advanced survey creation and distribution
  • Real-time dashboards and reporting
  • AI-driven analytics for open-ended responses
  • Multi-source feedback collection (phone, web, mobile, etc.)

Best for:
Companies that need advanced survey capabilities and in-depth data analysis.

Pros:

  • Strong survey customization and logic
  • Advanced analytics for qualitative feedback
  • Supports large-scale VoC programs

Cons:

  • More complex setup compared to simpler VoC tools
  • Primarily survey-focused, with less emphasis on real-time feedback
  • Some users report delay issues, inefficiencies, and an unintuitive user interface.

G2:  Forsta has a 4.2 G2 rating.

6. InMoment

Overview:
InMoment is a customer experience and VoC platform that provides AI-driven insights and action plans to improve customer interactions. It’s designed to help stakeholders capture and analyze feedback across multiple channels.

Key features:

  • AI-powered text and sentiment analysis
  • Real-time feedback collection
  • Predictive analytics and prescriptive recommendations
  • Employee and customer experience measurement

Best for:
Enterprises looking for an AI-powered platform to analyze VoC feedback across various touchpoints.

Pros:

  • Strong AI-driven analytics
  • Multi-channel feedback collection
  • Includes both customer and employee experience insights

Cons:

  • Lacks capabilities to drive action on feedback 
  • High cost compared to simpler VoC tools
  • May require significant configuration for specific business needs

G2:  InMoment has 4.9 stars on G2, but only has 20 reviews. 

7. Clarabridge (Now part of Qualtrics XM)

Overview:
Clarabridge, now integrated into Qualtrics XM, specializes in AI-powered text and speech analytics. It processes customer feedback from surveys, emails, chat logs, and social media to provide deep insights into customer sentiment and intent.

Key features:

  • AI-driven sentiment and emotion analysis
  • Multichannel data collection (calls, emails, surveys, etc.)
  • Natural language processing (NLP) for text analytics
  • Real-time dashboards with automated insights

Best for:
Businesses that need sophisticated sentiment analysis and omnichannel feedback collection.

Pros:

  • Industry-leading NLP and AI-powered insights
  • Works across multiple feedback channels
  • Strong integrations with CRM and CX platforms

Cons:

  • Can be complex to set up and customize
  • Uses all forms of data which can quickly become complex and difficult to scale. 
  • Premium pricing, best suited for enterprises
  • New program with limited reviews/user testing. 

G2: Clarabridge is unreviewed on G2.

8. ResponseTek

Overview:
ResponseTek for Telco is a cloud-centric customer experience management (CEM) solution based on Amazon Web Services, enabling customer feedback to be captured as close to the customer experience as possible, delivering accurate information and optimal response rates.

Key features:

  • Real-time customer feedback collection
  • AI-powered insights and predictive analytics
  • Customizable alerts and workflows for immediate action

Best for:
Telecommunications and SaaS organizations looking to gather feedback and gain real-time VoC insights. 

Pros:

  • Strong focus on real-time feedback and customer engagement
  • Helps teams take immediate action based on insights
  • Scalable for large enterprises

Cons:

  • Interface can feel outdated compared to newer platforms
  • Less focus on advanced AI-driven analytics compared to competitors
  • Narrow focus on telecommunications

G2:  ResponseTek only has 1 review on G2.

9. Qualtrics XM

Overview:
‍
Qualtrics XM (experience management) is a powerful VoC and CX platform designed for enterprises. It offers advanced survey tools, predictive analytics, and AI-driven insights to help companies improve customer experiences.

Key features:

  • Advanced survey design and distribution
  • AI-powered text and sentiment analysis
  • Predictive analytics and churn forecasting
  • Integrations with Salesforce, Zendesk, and other CX tools

Best for:
Large enterprises that need a comprehensive VoC solution with predictive analytics.

Pros:

  • Highly customizable and scalable
  • Strong predictive analytics and automation features
  • Wide range of integrations

Cons:

  • Expensive compared to other VoC tools
  • Can require a steep learning curve to maximize features
  • Isn’t known for simple, intuitive userface 
  • Lacks capabilities for taking action on feedback 

G2: Qualtrics XM has an average score of 4.2 out of 5 stars, with 700 reviews.

‍10. NICE Satmetrix

Overview:
NICE is a global technology company specializing in customer experience software, artificial intelligence, and digital and workforce engagement management. Their Voice of Customer Solution is designed to help brands collect and analyze feedback. 

Key features:

  • Quality management - evaluate interactions with automation and AI to provide the highest quality CX service. 
  • Omnichannel feedback collection (email, web, social media, etc.)
  • Customizable dashboards and reporting

Best for:
Businesses focused on measuring and improving NPS and customer loyalty.

Pros:

  • Strong analytics and benchmarking tools
  • Helps drive retention and loyalty strategies

Cons:

  • NICE does not specialize in customer experience & VoC – it’s one of their many offerings. 
  • Some users report poor customer service
  • Some users report technical issues

G2: The NICE Voice of Customer Solution is unrevived on G2, however, their other products have an average 4.3 rating. 

11. Tealeaf (by Acoustic)

Overview:
Tealeaf, now part of Acoustic, specializes in digital experience analytics. It captures and analyzes customer interactions on websites and mobile apps to identify friction points and improve user experiences.

Key features:

  • Session replay and heatmaps for digital journey analysis
  • AI-powered anomaly detection and insights
  • Integration with VoC surveys and customer feedback tools
  • Real-time alerts for friction detection

Best for:
Businesses that want deep insights into digital customer behavior and website optimization.

Pros:

  • Powerful digital journey tracking and analytics
  • Helps teams optimize websites and reduce churn
  • AI-driven insights for proactive issue resolution

Cons:

  • Focuses mainly on digital interactions, not full VoC feedback
  • Requires integration with other VoC tools for a complete solution
  • Some users report the platform being expensive relative to impact

G2: Tealeaf scores 4.1 on G2 with 37 reviews.  â€Ť

12. Sprinklr

Overview:
Sprinklr is an enterprise-grade customer experience management platform that combines social listening, AI-driven sentiment analysis, and omnichannel feedback collection. It is widely used by large brands to monitor and engage with customers across social media, review sites, and messaging platforms.

Key features:

  • AI-powered social listening and sentiment analysis
  • Unified customer feedback from social media, emails, and surveys
  • Real-time alerts and automated workflows
  • Customizable dashboards and reporting

Best for:
Large enterprises and brands that rely on social media engagement and omnichannel VoC strategies.

Pros:

  • Powerful AI-driven sentiment and trend analysis
  • Helps brands manage customer experience across multiple digital channels
  • Scalable for large teams and global businesses

Cons:

  • Complex interface with a learning curve
  • Expensive, best suited for enterprise-level companies
  • Some users report data inaccuracy and limitations 

G2: Sprinklr has a 4.3 rating with just over 100 reviews.

13. Adobe Experience Management (AEM)

Overview:
Adobe Experience Management is a digital experience platform that includes VoC capabilities. It helps businesses collect and analyze customer feedback while optimizing content and personalization strategies.

Key features:

  • AI-powered customer insights and personalization
  • Real-time customer journey tracking
  • Survey tools and feedback management
  • Seamless integration with Adobe’s marketing and analytics suite

Best for:
Businesses that want to integrate VoC data with digital content and marketing efforts.

Pros:

  • Strong integration with Adobe Analytics and other Adobe tools
  • AI-driven insights for personalized customer experiences
  • Helps improve both VoC collection and digital experience management

Cons:

  • Primarily built for digital experience management, not a standalone VoC tool
  • High cost and complex setup process
  • Lacks capability for closing the feedback loop

G2: Adobe Experience Management (AEM) is reviewed on G2. 

14. Genesys

Overview:
Genesys is a customer experience and contact center platform that includes VoC tools for collecting and analyzing customer feedback across various communication channels. It’s widely used for optimizing call center operations and improving customer service.

Key features:

  • AI-driven voice and text sentiment analysis
  • Real-time customer feedback collection
  • Omnichannel support (calls, chat, email, SMS, etc.)
  • Employee engagement and coaching tools

Best for:
Businesses with large customer support operations and call centers.

Pros:

  • Strong focus on contact center VoC and customer interactions
  • AI-driven insights for agent performance and customer sentiment
  • Omnichannel feedback collection for a complete view of customer experience

Cons:

  • Primarily designed for call centers and support teams
  • Less focus on survey-based VoC methods compared to other tools
  • Some users report limited and missing features 
  • Some users report inadequate reporting 

G2: Genesys has an average rating of 4.3 stars on G2.

15. Chattermill

Overview:
Chattermill is an AI-powered VoC tool that unifies customer feedback from multiple sources and delivers actionable insights through natural language processing (NLP). It helps companies understand customer sentiment and pain points at scale.

Key features:

  • AI-driven text and sentiment analysis
  • Unified feedback from surveys, reviews, and support tickets
  • Root cause analysis for customer experience trends
  • Customizable dashboards and automated reporting

Best for:
Businesses that want AI-driven VoC insights from multiple feedback channels.

Pros:

  • Strong AI-powered sentiment and trend analysis
  • Works across various feedback channels
  • Provides actionable insights for improving CX

Cons:

  • Requires integration with other VoC collection tools
  • Limited survey and direct feedback collection capabilities
  • Some users report an intuitive interface
  • Can require a steep learning curve for users. 

G2: 4.5 out of 5 stars, with 170 reviews.  

Key features of voice of the customer tools

Below are some of the key features that make VoC tools essential for customer-centric organizations.

Feedback collection mechanisms

VoC tools provide multiple ways to collect customer feedback, ensuring businesses can capture insights from various touchpoints. Common methods include surveys (NPS, CSAT, and CES), online reviews, social media comments, support tickets, and in-app feedback. By offering omnichannel feedback collection, these tools help businesses gather a more comprehensive understanding of customer sentiment and expectations.

Data analysis capabilities

Advanced VoC platforms use AI-powered analytics to process large volumes of feedback efficiently. Natural language processing (NLP) and sentiment analysis help identify trends, detect recurring issues, and uncover customer emotions in real time. AI-driven tools not only categorize feedback but also prioritize actionable insights, allowing teams to focus on the most impactful improvements. 

Integration and accessibility

To maximize their impact, VoC tools integrate with various business systems such as CRM software, helpdesk platforms, and marketing automation tools. Seamless integrations enable businesses to centralize customer feedback and correlate it with other customer data, leading to more informed decision-making. Additionally, modern VoC tools prioritize accessibility, offering intuitive dashboards, real-time alerts, and mobile-friendly interfaces that allow teams to act on customer insights quickly and efficiently.

How to choose the right voice of the customer tool for your business

Every business has unique needs, making it essential to carefully evaluate VoC solutions to ensure they align with your goals and maximize ROI. The right tool should streamline feedback collection, provide actionable insights, and integrate seamlessly with your existing workflows. It should act as your CX copilot, helping not only hear what customers are saying but provide actionable workflows to ensure their voice is implemented across the experience you deliver. 

Here are key criteria to consider when choosing a VoC platform:

  • Data collection methods: Ensure the tool supports multiple feedback channels, such as surveys, social media monitoring, and online reviews. Look for flexible survey options like NPS, CSAT, and CES to capture diverse customer insights. Learn more about AskNicely’s feedback collection capabilities here.

  • Integration capabilities: The best VoC tools should integrate with your CRM, helpdesk, and other business platforms to provide a seamless workflow. This ensures customer feedback is easily accessible and actionable. See AskNicely’s integration options here.

  • Analytical features: Look for AI-powered analytics, sentiment analysis, and reporting tools that turn raw feedback into meaningful insights. Advanced VoC platforms should help you identify trends, detect pain points, and prioritize improvement at scale Explore AskNicely’s analytics features here.

  • User-friendliness: A tool should be easy to use for both your team and customers. Intuitive dashboards, simple survey-building tools, and automated workflows can significantly enhance usability.

  • Scalability: Consider whether the VoC platform can grow with your business. It should support an increasing volume of customer interactions without compromising performance or usability.

  • Customer support: Reliable customer service is crucial when implementing and optimizing VoC tools. Look for vendors that offer responsive support, training, and resources to help your team succeed.

  • Vendor reputation: Research user reviews, case studies, and testimonials to gauge the tool’s effectiveness and reliability. A proven track record indicates that the solution is trusted by other businesses.

  • Customization options: Ensure the tool offers flexibility in survey design, reporting, and dashboard configurations to meet your company’s specific needs.

  • Cost and ROI: Compare pricing models and assess how the tool contributes to revenue growth and customer retention. Investing in the right VoC tool should deliver measurable business value. Check out AskNicely’s Return on Customer Experience Model here.

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