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20 Best Customer Experience Analytics Tools Shortlist

Here's my pick of the 20 best software from the 23 tools reviewed.

Customer experience analytics tools help you understand how people actually move through your product, service, or support journey. They surface the moments where customers get stuck, drop off, or convert so you can take action with confidence.

Drawing from over 10 years of experience in CX research, I’ve evaluated and curated the top customer experience analytics tools that are most effective for turning raw interaction data into clear insight. Whether you're tracking digital behavior, mapping journeys, or proving the impact of your CX initiatives, these platforms can help you make smarter, faster decisions.

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We’ve been testing and reviewing customer experience analytics tools since 2021. As CX professionals ourselves, we know how critical and difficult it is to make the right decision when selecting software.

We invest in deep research to help our audience make better software purchasing decisions. We’ve tested more than 2,000 tools for different customer experience use cases and written over 1,000 comprehensive software reviews. Learn how we stay transparent & our software review methodology.

The 20 Best Customer Experience Analytics Tools Summary

This comparison chart summarizes basic details about each of my top customer experience analytics software selections. You can view pricing details and the availability of free trials or demos side-by-side to help you find the best tool for your budget and business needs.

Overviews of the 20 Best Customer Experience Analytics Tools

To help you make the right choice, here’s an evaluation of the best customer experience analytics tools, including a summary of their key features, screenshots, and information on trials and pricing.

Best for social media customer analytics

  • 30-day free trial
  • From $199/seat/month (billed annually)
Visit Website
Rating: 4.3/5

Sprout Social offers robust customer experience analytics tools that assist businesses in understanding and analyzing their customer data across social media platforms. The platform provides detailed insights into social media campaigns, audience engagement, and content performance, which are essential for making data-driven marketing and customer service decisions.

Why I picked Sprout Social: Businesses can learn a lot about their customers through social media engagement. Sprout Social stands out to me because it offers analytics tools that are designed to help businesses identify customer trends and pain points. This includes its listening feature that tracks qualitative, quantitative, and contextual insights to help you understand audience preferences.

Furthermore, Sprout Social can collect CSAT or NPS data through automated customer feedback surveys. Users can use customized logic and settings to trigger survey sends based on specific criteria.

Sprout Social Standout Features and Integrations:

Features include the ability to view and reply to social conversations within a unified dashboard, customer feedback reports, a query builder to track trending conversations, and a social listening dashboard to analyze specific topics, trends, and industries.

Integrations include Facebook, Instagram, LinkedIn, Pinterest, Threads, TikTok, YouTube, Salesforce, Tableau, HubSpot, Zendesk, Marketo, Glassdoor, Shopify, and more.

Pros and cons

Pros:

  • Robust social listening and monitoring tools
  • Customizable dashboards and workflows
  • Integrates multiple social media platforms

Cons:

  • Limited advanced automation features
  • May be expensive for smaller businesses

New Product Updates from Sprout Social

Sprout Social's New Design to Draft Integration
Export interface within Sprout Social's integration for preparing draft posts.
October 5 2025
Sprout Social's New Design to Draft Integration

Sprout Social now allows designs from Canva and Adobe Express to be sent directly as draft posts. This update offers a more efficient way of integrating design tools with your social media management processes. For more information, visit Sprout Social's official site.

Best for understanding health of customer portfolios

  • Free demo available
  • Pricing upon request
Visit Website
Rating: 4.6/5

Velaris is a comprehensive customer success platform designed to provide teams with tools to enhance customer relationships. The platform offers a suite of features including AI-powered analytics, success plans, collaboration tools, and automation. It integrates all customer information into a single, intuitive interface, providing a 360-degree view of customer accounts.

Why I picked Velaris: I like that Velaris has customer health scores and monitoring tools. These features provide users with a customer-specific score to determine the overall satisfaction and health of each customer. By monitoring customer actions and interactions with different teams within the company, businesses can proactively address potential issues and improve customer retention.

Additionally, Velaris offers customer profiles that aggregate data from multiple sources, including CRMs, service desks, marketing tools, and financial systems, to provide a holistic view of each customer. 

Velaris Standout Features and Integrations:

Features include a comprehensive automation builder that allows users to create flexible automations on an intuitive drag-and-drop interface. It also offers views of various data points including profile summaries, lifecycle stages, and activity timelines. Furthermore, the reports and analytics feature enables the creation of detailed business dashboards.

Integrations include Slack, Microsoft Teams, Intercom, MailChimp, Outlook, Google Drive, HubSpot, Jira, and Salesforce.

Pros and cons

Pros:

  • Good customer data aggregation
  • Collaboration tools and automation features
  • Advanced analytics and success plans powered by AI

Cons:

  • New users might face a learning curve
  • Could offer more integrations

Best tool with a smart summary generator

  • Free demo available
  • Pricing upon request
Visit Website
Rating: 4.7/5

Founded in 2002, InMoment helps businesses worldwide garner vital customer insights. The platform specializes in extracting insights from surveys, comments, and other data. InMoment uses AI and text analytics for processing data into actionable insights.

Why I picked InMoment: I’m fascinated by the influence of AI and how InMoment has embraced this revolutionary technology. InMoment features an impressive smart summary generator that leverages GPT principles. This feature transforms several pieces of disparate feedback into short and structured paragraphs. 

InMoment leverages natural language processing (NLP) to discover the voice of the customer (VoC). Furthermore, InMoment also has robust sentiment identification features to accurately comprehend how your customers feel about a specific digital journey.

InMoment Standout Features and Integrations:

Features that make InMoment great include customer experience feedback automation across various channels. As a result, you can reduce survey fatigue while maintaining a steady feedback flow. InMoment also ships an interesting impact prediction feature to understand how certain features can impact your NPS, CES, and CSAT scores.

Integrations include tools like Adobe, Intercom, Microsoft Dynamics, Quantum, Salesforce, Workday, Zapier, Zendesk, and others.

Pros and cons

Pros:

  • Great customer surveying features
  • Live 24/7 support
  • Comprehensive reporting tools

Cons:

  • Little challenging to edit survey results
  • Slightly steep learning curve

Best for identifying cross-sell opportunities

  • Free demo available
  • Pricing upon request
Visit Website
Rating: 4.7/5

ChurnZero helps your customer-success teams turn usage, engagement and adoption data into insight so you can act on growth opportunities and retention risks. It centralises health scores, usage activity and customer journeys to support post-sale analytics.

Why I Picked ChurnZero: I chose ChurnZero because of its strong focus on not just guarding against churn but unlocking expansion—identifying exactly when customers are primed for cross-sell and upsell. The platform combines customer-health scoring, usage monitoring and automated workflows so your team can spot growth signals rather than just reacting to risk. For analytics teams focused on expansion, ChurnZero offers a clear pathway.

Standout Features & Integrations:

Features include dynamic health-score models that layer usage, support interaction and behavior-signals; expansion dashboards dedicated to upsell/cross-sell identification; account-engagement automation and playbooks triggered by defined signals (e.g., usage threshold reached). Integrations include major CRMs (Salesforce, HubSpot), billing systems, Slack, Zendesk, webhooks and API support.

Integrations include Salesforce, HubSpot, Zendesk, Slack, webhooks, custom API access and bi-directional sync with billing/subscription platforms.

Pros and cons

Pros:

  • Automates playbooks tied to expansion signals
  • Combines customer health, usage and engagement data
  • Identifies high-potential accounts for cross-sell and upsell

Cons:

  • Analytics depth may require training for full adoption
  • Initial setup and integration can be time-intensive

Best for analyzing Google Ad campaigns

  • Free plan available
  • Free for small and medium-sized businesses
Visit Website
Rating: 4.5/5

Google Analytics helps your team measure how customers find, interact with, and convert across your digital properties. It connects marketing and behavioral data so you can see how ad traffic translates into real user experiences and outcomes.

Why I Picked Google Analytics: I picked Google Analytics because it seamlessly links ad performance to customer experience. By connecting Google Ads, you can analyze how campaigns influence engagement, bounce rates, and conversion paths within your site or app. It’s ideal for teams that want visibility into the full customer journey—from ad click to on-site behavior to conversion—without leaving the Google ecosystem.

Standout Features & Integrations

Features include customizable dashboards, funnel and path exploration, attribution modeling, and event tracking for key customer actions. Built-in integrations with Google Ads and Search Console reveal which campaigns drive quality sessions, not just clicks. You can segment audiences, compare landing-page experiences, and measure performance across devices and traffic sources.

Integrations include Google Ads, Google Tag Manager, Google Search Console, BigQuery, Data Studio (Looker Studio), Firebase, Shopify, and API/webhooks for data exchange.

Pros and cons

Pros:

  • Integrates natively with the broader Google marketing stack
  • Powerful segmentation and attribution modeling capabilities
  • Tracks user journeys across web and mobile channels

Cons:

  • Learning curve for advanced event and conversion setup
  • Requires proper tagging to ensure data quality

Best for improving mobile app customer engagement

  • 14-day free trial + free plan available
  • Pricing upon request
Visit Website
Rating: 4.8/5

UXCam is a mobile application analytics platform that highlights your customers’ frustrations. UXCam is ideal for companies with mobile-centric business models. 

Why I picked UXCam: I’m impressed by the experience analytics that UXCam provides. The platform generates heat maps for your mobile applications. Heat maps help find problematic screens and incomplete UI flows. As a result, you can unearth user frustrations. 

Moreover, UXCam has a full session replay feature that captures users’ interactions with your mobile app. Consequently, you can resolve issues quickly and improve overall customer satisfaction. 

UXCam Standout Features and Integrations:

One standout feature is the inclusion of issue analytics. UXCam helps you proactively identify the reasons behind app crashes. As a result, you can quickly roll out fixes to eliminate technical bugs. Additionally, UXCam also offers valuable freeze analytics that helps you discover the why behind random application lags.

Integrations include tools like Amplitude, Intercom, Mixpanel, Segment, Slack, and others.

Pros and cons

Pros:

  • Device segmentation into OS, processors, etc.
  • User navigation mapping
  • Responsive customer support

Cons:

  • Limited heat mapping properties
  • Occasional loading lags

Best for uncovering root causes of customer journey friction

  • Free plan available
  • From $20/month
Visit Website
Rating: 4.5/5

Mixpanel specializes in tracking user interactions with digital products like mobile and web applications. The platform collects and analyzes several data points to reveal the scope for improvement. 

Why I picked Mixpanel: As a customer experience professional, I’m always stoked to find out what causes people to react in a certain way. Mixpanel helps you reveal the root cause behind friction in your digital product. Moreover, the tool helps quantify success by visualizing how users convert at particular stages in your user journey. 

Furthermore, Mixpanel helps test variants to validate your feature ideas. As a result, you can infuse great direction and focus into your development sprint cycles. The bottom line is that Mixpanel helps unravel key insights that inspire changes leading to increased customer loyalty.

Mixpanel Standout Features and Integrations:

One standout feature that sets Mixpanel apart is analyzing why certain metrics change. You can filter metrics based on demographics and behavior. Furthermore, you can slice and dice your filtered data points in various ways to generate meaningful insights. 

Integrations include tools like Appcues, Braze, Figma, Google Cloud, Microsoft Azure, Productboard, Slack, Split, Sprig, WebEngage, and others.

Pros and cons

Pros:

  • Campaign automation features
  • Great scope for customizable analytics
  • Comprehensive reports with graphs and panels

Cons:

  • Occasional bugs with individual messaging
  • A slightly steep learning curve

Best for curbing ecommerce cart abandonment

  • Free plan available
  • From $49/month (billed annually)
Visit Website
Rating: 4.5/5

Amplitude provides your team with analytics to capture, visualize and act on user behavior across web and mobile e-commerce platforms. It enables you to understand drop-offs, journeys and friction around checkout and shopping flows, helping to recover lost sales and improve conversion.

Why I Picked Amplitude: I picked Amplitude because it offers a dedicated “Cart Abandonment” dashboard and deep event-based analytics that let you trace exactly where users drop out of purchase flows. With one line of code you can instrument your checkout path and later segment and analyze abandonment across devices, features and user cohorts. If your goal is to convert the “almost buyers” into purchasers, this tool gives you the data to intervene.

Standout Features & Integrations

Features include event tagging (like “Added to Cart”, “Checkout Started”, “Purchase Completed”), funnel-analysis to identify drop-points, cohort and segment tracking by user behavior or device, and templates built for cart-abandonment recovery.

Integrations include Snowflake, BigQuery, Salesforce, Slack, webhooks/API and major data-warehouse and CRM platforms.

Pros and cons

Pros:

  • Cohort and device segmentation uncovers conversion blockers
  • Event-based analytics show user journeys and purchase friction
  • Dedicated cart-abandonment dashboard tracks checkout drop-offs

Cons:

  • Custom report building can be complex and time-intensive
  • Setup and instrumentation demand developer resources

Best for predicting customer churn probabilities

  • Free demo available
  • Pricing upon request
Visit Website
Rating: 4.5/5

Treasure Data has the motto, “Helping enterprises solve complex data problems.” Operating as a customer data platform (CDP), Treasure Data is a reliable tool for predicting critical insights based on customer experience feedback.

Why I picked Treasure Data: I’m amazed by Treasure Data’s lifetime value (LTV) prediction capabilities. The platform leverages an AI agent to convert raw data into valuable insights. As a result, you gain access to key metrics like churn probability. Subsequently, you can proactively identify “at-risk customers” and intervene early to turn things around.

Moreover, AI insights also help your customer service managers (CSMs) to identify upselling opportunities. Treasure Data helps integrate and process siloes of customer data to equip your customer-facing stakeholders with vital information for converting upselling opportunities.

Treasure Data Standout Features and Integrations:

One standout feature that’s worth mentioning is a real-time Support Vector Classification (SVC) dashboard which provides a comprehensive view of customer profiles, segmentation, behavioral patterns and other relevant metrics.

Integrations include tools like Adobe Commerce, AdRoll, Apptopia, Atlassian, Box, Branch, Braze, Bronto, Domo, Dropbox, Eyeota, and others.

Pros and cons

Pros:

  • Great Treasure Data learning academy
  • 170+ data connectors
  • Robust report generation features

Cons:

  • Operations debugging
  • Slightly steep learning curve

Best for spotting mobile app user trends

  • 30-day free trial
  • From $99/month
Visit Website
Rating: 4.5/5

Founded in 2013, CleverTap is a comprehensive customer experience analytics platform offering trend and pattern recognition features. The CleverTap platform sends around 24 billion notifications a day.

Why I picked CleverTap: I love the various techniques that CleverTap offers for spotting trends and patterns. Some of the platform’s pattern recognition methods include cohorts, funnels, flows, and pivots. For instance, CleverTap collects and graphs the daily active users (DAU) count. Subsequently, you can measure how the DAU metric changes in response to a new feature rollout. 

Another exciting aspect of CleverTap is the uninstall tracking feature. If users uninstall your mobile app, CleverTap helps you leverage user-level insights to craft a win-back strategy.

CleverTap Standout Features and Integrations:

One standout feature includes lifecycle optimization that helps you move customers across lifecycle stages. For instance, you can apply either the acknowledgement interest conversion (AIC) or acquisition activation retention revenue referral (AARRR) framework for lifecycle optimization.

Integrations are available by connecting CleverTap to a paid Zapier account.

Pros and cons

Pros:

  • Multi-platform engagement
  • Great customer segmentation features
  • Commendable customer success team

Cons:

  • No WhatsApp business integration
  • Glitches with monthly active users (MAU) calculation

Best for discovering customers’ spending habits

  • 14-day free trial
  • From $75/user/month (billed annually)
Visit Website
Rating: 4.4/5

Tableau from Salesforce is the holy grail for data collection, analysis, and visualization. With a rather exciting motto of “Making databases and spreadsheets understandable to ordinary people,” Tableau strives to provide best-in-class data analysis tools. 

Why I picked Tableau: I’m amazed by how Tableau packs complex data analysis features into a simple, easy-to-use dashboard. Tableau allows you to connect and visually explore various data sources. Consequently, you can create interactive dashboards, charts, graphs, and maps to understand customer spending habits. 

Tableau also helps with customer segmentation based on various criteria such as demographics, purchase history, behavior, and more. Additionally, Tableau’s cohort analysis groups customers based on shared characteristics. As a result, you can calculate customer lifetime value and retention rates.

Tableau Standout Features and Integrations:

One standout feature is an intuitive drag-and-drop interface that allows you to create interactive dashboards in minutes. Additionally, Tableau offers great data preparation and transformation features like pivot, split, and merge to promote data accuracy before analysis.

Integrations include tools like Azure, BigQuery, DataRobot, Google Analytics, Google Sheets, Hive, Presto, Salesforce, Splunk, Vertica, and others.

Pros and cons

Pros:

  • Extensive library of visualization tools
  • Great storytelling features
  • Multiple export options

Cons:

  • Less custom coding features
  • Steep learning curve

Best for generating comprehensive heatmaps

  • Free plan available
  • From $39/month (billed annually)
Visit Website
Rating: 4.4/5

Founded in 2014, Hotjar’s mission is to help businesses create websites that users love. Hotjar has helped optimize over a million websites through features like heatmap generation, website feedback, and surveys.

I spoke to Ritika Dubash, CEO & Founder, HowToDigital, about how Hotjar helped them improve customer experience for their clients. Exit polls told us shipping clarity was a blocker. Users weren’t balking at cost—they were unsure about delivery timelines. One line of copy change (“Ships in 2–3 business days”) cut abandonment on PDPs—by more than any discount we tested.”

She adds, “It also made stakeholder alignment easier. A 20-second highlight reel of real users struggling beat a 10-slide deck. In one client’s case, it unblocked a redesign that had been debated for weeks.

Why I picked Hotjar: It’s amazing how heatmaps help you visualize a user’s behavior on your website. Hotjar’s heatmaps depict where your users click, move, and scroll. As a result, you can quickly identify friction points on the website user journey. 

Additionally, Hotjar charts rage click maps to show you points on your website that frustrate users. Hotjar also offers 365 days’ storage of your heatmaps to compare how your website fares over time.

Hotjar Standout Features and Integrations:

One standout feature includes live recordings of your users’ website interactions. Additionally, Hotjar offers real-time feedback embedding features to get curated responses on specific areas of your website.

Integrations include tools like ClickFunnels, HubSpot, Jira, Microsoft Teams, Omniconvert, Optimizely, Segment, Shopify, Slack, Unbounce, and others.

Pros and cons

Pros:

  • Great filtering capabilities
  • Straightforward UI
  • Reliable support team

Cons:

  • Can’t perform numerous recordings at once
  • Occasional screenshot bugs

Best for leveraging NLP to analyze the voice of the customer

  • Free demo available
  • Pricing upon request
Visit Website
Rating: 4.4/5

Gainsight features three central product pillars, namely Customer Success (CS), Product Experience (PX), and Digital Hub (DH). The CS product offers customer feedback analysis and NLP (natural language processing) for extracting actionable insights.

Why I picked Gainsight: The concept of NLP is so mind-boggling! The Gainsight platform leverages NLP to unravel insights based on the voice of the customer (VOC). Gainsight’s NLP reveals sentiment analysis and risk signals (of potential user experience issues). 

Additionally, Gainsight generates AI-powered playbooks tailored to unique customer risks. The AI can detect churn possibilities and suggest a customized plan of action for you. 

Gainsight Standout Features and Integrations:

One standout feature is their AI-powered health scoring that predicts customer expansions and renewals. As a result, you can focus more on accounts with a higher “score” to maximize upselling opportunities. 

Integrations are available by connecting Gainsight to a paid Zapier account.

Pros and cons

Pros:

  • Automated email workflow
  • Great customer support
  • Accurate data metrics

Cons:

  • Slightly steep learning curve
  • Difficult to configure reports

Best for generating retroactive analytics

  • 14-day free trial + free plan available
  • Pricing upon request
Visit Website
Rating: 4.4/5

Pendo helps your team understand how users interact with digital products by capturing behavior data, tracing journeys, and surfacing friction. It supports analytics across web and mobile apps to drive adoption and retention.

Why I Picked Pendo: I picked Pendo because of its ability to deliver retroactive analytics—letting you tag features and pages, then later query historical usage and drop-off patterns without needing instrumentation up front. The platform supports detailed path and funnel analysis, segmentation across accounts and users, and insight into which features drive value or impede flow. When your goal is to turn past behavior into actionable insight for product and CX teams, Pendo excels.

Standout Features & Integrations:

Features include event tagging without code, path and funnel analytics across user journeys, retention and cohort tracking, session replay and account-level usage data. On the distribution side, it supports in-app guides, NPS and feedback surveys tied to usage context.

Integrations include Salesforce, Snowflake, Slack, Jira, BigQuery, Zendesk, API/webhooks and SSO.

Pros and cons

Pros:

  • In-app guides and surveys couple insight with action
  • Deep feature-usage and account-level reporting for insight
  • Retroactive event tagging enables historical analytics

Cons:

  • Branding and styling options less refined than niche tools
  • Some users report setup and data accuracy challenges

Best for generating insightful customer journey reports

  • 14-day free trial + free plan available
  • From $999/month
Visit Website
Rating: 4.4/5

Woopra came into existence back in 2012. Initially, Woopra focused on delivering real-time customer experience analytics. Fast forward to the present, and now the platform is all about customer journey analytics. 

Why I picked Woopra: I love Woopra’s emphasis on granularity, especially with their journey analytics reporting. You can get specific and in-depth insights like how onboarding emails impact your conversion rates. Another instance is how your blog engagement affects a free trial signup. You can also pinpoint how customers get lost during onboarding.

Woopra helps you nail the nonlinear nature of customer journeys. Since a customer journey is often intricate, with several different touch points, Woopra presents several nuanced reports to help you make the right decisions.

Woopra Standout Features and Integrations:

One standout feature is trend analysis, which measures the effectiveness of particular product features. As a result, Woopra helps you identify the vital revenue-generating features and other trivial features that don’t quite hit the home run. 

Integrations include tools like Azure, BigQuery, Campaign Monitor, Clearbit, Clickhouse, Drift, Dropbox, Google Ads, HubSpot, MailChimp, and others.

Pros and cons

Pros:

  • Easy configuration
  • Stats on specific site visitors
  • Straightforward UI

Cons:

  • Search navigation is a little confusing
  • Occasional bugs with the Salesforce sync

Best for tailored customer journey communication

  • 14-day free trial
  • From $249/user/month (billed annually)
Visit Website
Rating: 4.2/5

Keap is a comprehensive CRM and automation software designed specifically for small businesses. It offers a range of tools to manage customer interactions, automate marketing and sales processes, and capture and analyze customer data. Keap's integrated platform helps businesses maintain detailed records, personalize communication, and gain valuable insights into customer behavior.

Why I picked Keap: Keap allows businesses to track key metrics related to customer engagement, conversion rates, and sales performance. The software’s detailed reporting tools help identify trends and patterns in customer behavior, providing businesses with actionable insights to enhance their customer experience strategies. 

Furthermore, Keap's automation features play a crucial role in enhancing customer experience. The platform enables businesses to automate task assignments and customer segmentation based on behavior and interactions and personalize follow-ups and engagement messaging throughout the customer journey.

Keap Standout Features and Integrations:

Features include automated workflows, customizable templates, client segmentation, customizable landing pages, lead scoring, mobile app access, secure data storage, dynamic form creation, multi-channel communication, invoice generation, payment processing, automated reminders, task assignment, and campaign tracking. 

Integrations include QuickBooks, Zapier, WordPress, Shopify, Gmail, Outlook, PayPal, Stripe, Leadpages, and ScheduleOnce. 

Pros and cons

Pros:

  • Comprehensive CRM capabilities
  • Good marketing and sales automation features
  • User-friendly interface

Cons:

  • May not be suitable for larger businesses with more complex needs
  • May be expensive for businesses with limited resources

Best for predicting vital revenue statistics

  • 30-day free trial + free demo
  • From $299/month (billed annually)
Visit Website
Rating: 4.1/5

Kissmetrics’ tagline is “Unlock unlimited revenue potential,” and the platform offers analytics to pinpoint scope for improvement. Kissmetrics features person-based analytics to help you improve critical metrics impacting your online business.

Why I picked Kissmetrics: Kissmetrics helps you dive deep into what makes your business click. The platform unearths several scintillating revenue statistics like lifetime customer value and churn rates. Moreover, Kissmetrics helps make strategic decisions by identifying revenue-boosting products.

Kissmetrics tracks feature usage, page views, active users, and other metrics to gain a fine understanding of your customer behavior. Moreover, Kissmetrics features advanced BI reporting and helps dissect user behavior in minutes. 

Kissmetrics Standout Features and Integrations:

One standout feature is the friction and dropoff detection by analyzing how visitors don’t get converted to trial or paid customers. Consequently, you’ll embark on actionable tips to streamline your onboarding process.

Integrations include Appcues, Callrail, Chargify, Hubspot, Mailchimp, Marketo, Optimizely, Shopify, Slack, UltraCart, WooCommerce, and others.

Pros and cons

Pros:

  • Reveals abandoned cart instances
  • A/B testing
  • Easy-to-understand sales funnel reports

Cons:

  • Occasional platform lags
  • CRM integration is challenging

Best for codeless text analytics

  • 14-day free trial
  • From $299/month

MonkeyLearn is a text analytics tool that leverages machine learning to extract actionable insights from raw text. For instance, the tool helps you detect customer sentiment from text inputs like tweets, reviews, and more.

Why I picked MonkeyLearn: I hail from a non-technical background, and tools like MonkeyLearn enable me to leverage machine learning without having to worry about coding. MonkeyLearn features prebuilt machine learning models (templates) that are a viable starting point for your text analytics. Additionally, you can easily define topic classifiers, entity extractors, and sentiment analysis.

MonkeyLearn analyzes 1,000s of reviews to identify your product’s strengths and weaknesses. You can source reviews from reputable sites like G2 and TrustPilot. Subsequently, you can reduce customer churn by proactively addressing customers’ pain points.

MonkeyLearn Standout Features and Integrations:

One standout feature is their Net Promoter Score (NPS) comment analysis. MonkeyLearn breaks down your NPS comments and helps identify areas of improvement. Moreover, you can create sales collateral using MonkeyLearn’s keywords from NPS comments to align your product more towards addressing specific pain points.

Integrations include tools like Freshdesk, Front, Google Sheets, HelpScout, Intercom, Qualtrics, Typeform, Zendesk, and others. 

Pros and cons

Pros:

  • Straightforward UI
  • Easy implementation
  • Great degree of granularity

Cons:

  • Lacks data visualization features
  • Occasional delays in resolving support tickets

Best for analyzing website form submissions

  • 15-day free trial
  • From $20/month

Zoho first stormed onto the scene as a cost-effective customer relationship management (CRM) tool. Ever since, Zoho has steadily created effective B2B software as a service (SaaS) tools like Zoho Meeting, Docs, Invoice, etc. The Zoho PageSense product (part of the Zoho One suite) packs an interesting approach to collecting valuable customer insights.

Why I picked Zoho PageSense: I love the form analytics that Zoho PageSense promises. With form analytics, you can quickly determine how many page visitors began filling out a form but got distracted and didn’t submit. 

Additionally, with PageSense, you can find out if there are specific form fields that your visitors are hesitant to fill. As a result, you can tailor the form content to boost submission rates. Lastly, PageSense also offers powerful segmentation features to filter analytic reports.

Zoho PageSense Standout Features and Integrations:

One Standout feature is funnel analysis that pinpoints which web pages have the most “drop-offs.” These drop-offs are potential customers and revenue that you could convert. Additionally, the setup is a breeze: You only need to copy-paste the target webpage URL, and you’re good to go for some comprehensive analysis.

Integrations include tools like Google Ads, Google Analytics, Google Tag Manager, Intercom, Kissmetrics, Mixpanel, Zoho Commerce, Zoho Desk, Zoho Sites, and others.

Pros and cons

Pros:

  • Very easy to set up
  • Web page optimization
  • Good UX

Cons:

  • Lags with streaming recordings
  • Support could be more responsive

Best for automated 360-customer views on a no-code platform

  • 14-day free trial
  • From $25/user/month
Visit Website
Rating: 4.7/5

CRM Creatio is an innovative customer relationship management platform designed to streamline and enhance customer experience analytics, marketing, sales, and service processes. This no-code platform enables users to create and customize applications effortlessly, making it ideal for organizations of all sizes and industries.

Why I picked CRM Creatio: I like that Creatio offers the ability to create automated 360-degree customer views, which provide a holistic perspective on each customer’s journey. This feature integrates data from multiple sources, offering a detailed and cohesive understanding of customer behavior and preferences. Since it's a no-code platform, businesses can quickly adapt these views to their specific needs, ensuring that customer data is easily accessible and actionable.

Another standout feature is Creatio's advanced analytics capabilities, which leverage artificial intelligence to provide predictive insights and data-driven recommendations. These AI-driven analytics include customer segmentation, personalized recommendations, and real-time performance metrics to help businesses identify trends, anticipate customer needs, and optimize their strategies accordingly.

CRM Creatio Standout Features and Integrations:

Features include a business process modeling tool that allows users to visualize and optimize workflows and customer service automation to streamline support processes. Multi-channel marketing capabilities also enable businesses to engage customers across various platforms, increasing reach and engagement.

Integrations include Microsoft Office 365, Google Workspace, LinkedIn, Mailchimp, Zapier, DocuSign, Twilio, Stripe, QuickBooks, Jira, Slack, and numerous other enterprise systems and third-party applications.

Pros and cons

Pros:

  • End-to-end workflow automation capabilities
  • Comprehensive views of customer profiles
  • Low-code tools that allow for the creation of tailor-made solutions

Cons:

  • Initial setup can take time and effort
  • Learning curve with the wide range of features

Other Options

Here are a few more customer experience analytics tools that didn’t make my top 20 list but are still worth checking out:

  1. Segment

    For conducting A/B tests

  2. Heap

    For analyzing session replays of online users

  3. Plausible

    Cookie-free customer analytics tool

Related CX Software Lists

If you still haven’t found what you’re looking for here, check out these related customer experience management tools that I’ve tested and evaluated.

What are Customer Experience Analytics Tools?

Customer experience analytics tools are software platforms that analyze customer interaction data to reveal patterns, preferences, and friction points. They help businesses understand behavior across channels to improve decision-making and optimize the customer journey.

Customer Experience Analytics Tools Selection Criteria

Selecting customer experience analytics tools involves evaluating functionality and meeting specific use cases that matter most. Criteria relate to software buyer needs, pain points, and the intended use of the tools. I've personally tried and researched these tools to ensure they meet the following criteria:

Core Customer Analytics Tools Functionality - 25% of total weighting score:

  • Data collection and integration
  • Customer segmentation
  • Predictive analytics
  • Real-time reporting
  • Customer journey mapping

Additional Standout Features - 25% of total weighting score:

  • AI-driven insights
  • Customizable dashboards
  • Multi-channel data integration
  • Advanced data visualization
  • Tools like Adobe Analytics and Google Analytics 360 leverage innovative features

Usability - 10% of total weighting score:

  • Intuitive interface
  • Drag-and-drop functionality
  • Customizable reports
  • User-friendly navigation

Onboarding - 10% of total weighting score:

  • Availability of training videos
  • Interactive product tours
  • Chatbots for support
  • Webinars for in-depth learning

Customer Support - 10% of total weighting score:

  • 24/7 support availability
  • Multi-channel support options
  • Dedicated account managers
  • Comprehensive help centers

Value For Money - 10% of total weighting score:

  • Competitive pricing
  • Flexible subscription plans
  • Free trial availability
  • Cost vs. feature comparison

Customer Reviews - 10% of total weighting score:

  • User satisfaction ratings
  • Feedback on ease of use
  • Comments on customer support
  • Insights on feature effectiveness

How to Choose the Best Customer Experience Analytics Tools

Use this handy checklist to help pick the best customer experience analytics tools for you and your team.

☐ Does X software have the 2-3 features I value most?
☐ What niche or exceptional additional features does X software have?
☐ Is X software best for my team size, big or small?
☐ Does X software integrate with apps I use every day (email, Slack, etc.)?
☐ Is X software known for being easy to learn and use?
☐ Do X software's values align with my own?
☐ Is X software within my budget?

Trends for Customer Experience Analytics Tools

Customer experience analytics tools are evolving with new trends shaping the industry.

AI and Machine Learning Integration

AI and machine learning are becoming integral, providing deeper insights and automating complex analyses. This trend is important for enhancing predictive capabilities.

Real-Time Data Processing

Real-time data processing is gaining traction, allowing businesses to make immediate decisions. This trend is crucial for staying competitive in fast-paced markets.

Multi-Channel Data Integration

Integrating data from multiple channels is becoming standard, offering a holistic view of customer behavior. This trend is vital for comprehensive customer insights.

Enhanced Data Privacy Measures

With increasing data privacy concerns, tools are incorporating advanced security features. This trend is essential for maintaining customer trust.

Customizable Dashboards

Customizable dashboards are becoming more prevalent, allowing users to tailor their analytics experience. This trend is important for meeting diverse business needs.

Features Of Customer Experience Analytics Tools

Customer experience analytics tools offer various features essential for effective customer data analysis. Here are the most important features to look for:

  • Data Collection and Integration: Collects and integrates data from multiple sources for comprehensive analysis.
  • Customer Segmentation: Divides customers into distinct groups based on behavior and demographics.
  • Predictive Analytics: Uses historical data to predict future customer behavior.
  • Real-Time Reporting: Provides up-to-the-minute data for timely decision-making.
  • Customer Journey Mapping: Visualizes the customer journey across different touchpoints.
  • AI-Driven Insights: Utilizes artificial intelligence to uncover hidden patterns and trends, such as through sentiment analysis, emotion detection, or text analysis.
  • Customizable Dashboards: Allows users to create personalized views of their data.
  • Multi-Channel Data Integration: Combines data from various channels for a unified view.
  • Advanced Data Visualization: Offers sophisticated tools for visualizing complex data.
  • Security Features: Ensures data privacy and compliance with regulations.

These features are crucial for successfully leveraging customer experience analytics tools.

Benefits Of Customer Experience Analytics Tools

Customer experience analytics tools offer several benefits for users and organizations. Here are the primary benefits:

  1. Improved Customer Understanding: Provides deep insights into customer behavior and preferences.
  2. Enhanced Decision-Making: Facilitates data-driven decisions with accurate and timely information.
  3. Increased Customer Retention: Identifies at-risk customers and helps in creating targeted retention strategies.
  4. Optimized Marketing Campaigns: Enables precise targeting and personalization of marketing efforts.
  5. Revenue Growth: Drives business growth by identifying new opportunities and optimizing existing ones.

These benefits highlight the value of customer experience analytics tools for businesses.

Costs And Pricing Of Customer Experience Analytics Tools

Customer experience analytics tools vary in cost based on features and plan types.

Plan TypeAverage PriceCommon Features
Free Plan$0Basic analytics, limited data storage, standard reports
Personal Plan$20/monthAdvanced analytics, more data storage, customizable reports
Business Plan$100/monthComprehensive analytics, multi-user access, real-time data
Enterprise Plan$500/monthFull suite of features, dedicated support, advanced security

This chart provides an estimate of average plans and costs for customer analytics tools.

People Also Ask

Here are some answers to FAQs on customer analytics tools:

How do I choose the right customer experience analytics tool for my team?

Start by mapping out your team’s main objectives, like improving NPS, increasing retention rates, or streamlining customer feedback. Evaluate tools based on features that specifically address your pain points—such as multi-channel feedback collection, advanced reporting, or AI-powered sentiment analysis. Consider the learning curve for your team; a tool with a user-friendly dashboard is vital for adoption. Check integration options with existing systems like CRM, helpdesk, or marketing platforms to avoid data silos. Assess vendor support, security, and compliance credentials, and prioritize those offering customized demos or trial periods so you can test workflows before finalizing a decision.

What metrics should I track with customer experience analytics tools?

You should track a mix of quantitative and qualitative metrics for a well-rounded view. Start with foundational scores like Net Promoter Score (NPS), Customer Satisfaction (CSAT), and Customer Effort Score (CES) to measure loyalty and immediate impressions. Dive into operational metrics like churn rate, first response time, and resolution rates to spot process bottlenecks. Use journey analytics to monitor drop-off points and conversion rates along different touchpoints. Some tools let you dig into sentiment by analyzing social media, chat, or email content, uncovering hidden frustrations or positive trends that surveys might miss. Tracking these metrics together will help you adjust your CX strategy in real time.

Can customer experience analytics tools integrate with my existing CRM or support platforms?

Yes, integration is a top consideration for CX leaders, and most leading tools offer pre-built connectors for popular CRMs (like Salesforce, monday CRM, or HubSpot) and help desk platforms (such as Zendesk or Freshdesk). This allows you to automatically sync customer interactions, tickets, and feedback data across platforms, eliminating manual data transfers and reducing errors. Some platforms also support API access for more custom integrations, letting you create tailored dashboards or workflows specific to your team’s needs. Before implementation, review the integration process, available documentation, and vendor support to ensure a smooth setup and minimal downtime.

How can customer experience analytics tools help reduce churn?

Customer experience analytics tools help identify at-risk customers by analyzing behavioral patterns, usage data, and feedback trends. For example, if the tool surfaces a drop in engagement or negative reviews after certain product changes, your team can act quickly to address issues. You can set up automated alerts for key indicators like increased complaint rates or declining NPS scores, triggering immediate follow-up. Some platforms offer predictive analytics to highlight users most likely to churn, allowing for preemptive personalized outreach. When you consistently turn insights into actionable steps—like improving self-service resources or training support staff—you can tackle churn at its root and boost customer retention.

Are there privacy or compliance concerns with customer experience analytics tools?

Yes, privacy and compliance should be top priorities anytime you handle customer data with analytics tools. Look for platforms that are certified for data protection regulations applicable to your business, such as GDPR in the EU or CCPA in California. Make sure the tool supports secure data storage, structured access controls, and transparency tools like consent management. You may want to discuss data hosting regions with the vendor, especially if your customers are located globally. Consider how the platform collects, processes, and shares data, and ensure your legal and IT teams are involved in the vetting process. Prioritize vendors offering clear documentation and support for compliance audits to minimize risks down the line.

How are companies using data and analytics to improve customer experience?

Companies use customer experience analytics tools to gather real-time feedback, map customer journeys, and spot trends that weren’t visible before. For example, retail brands analyze support tickets and web interactions to identify where customers get stuck, then update product pages or streamline support flows. SaaS companies use sentiment analysis to watch for rising frustrations and deploy targeted outreach before churn risk grows. Many CX leaders integrate analytics data with their CRM and marketing automation to personalize outreach and quickly address key complaints. By turning insights into specific, trackable actions, companies close experience gaps and drive higher customer loyalty.

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Wrapping Up

Customer experience analytics tools are essential for team members aiming to deliver personalized experiences. These tools utilize survey templates to collect feedback efficiently, enabling businesses to understand customer expectations better. By integrating content management and analyzing customer conversations, these tools help identify key customer touchpoints.

Effective feedback collection and follow-ups are streamlined through advanced management tools, enhancing customer retention. Leveraging machine learning, these tools can predict trends and personalize interactions, ensuring that customer expectations are met consistently. Ultimately, these analytics tools empower teams to transform feedback into actionable insights, improving the overall customer journey.

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Tim Fisher
By Tim Fisher

Tim brings over two decades of experience leading at the crossroads of tech, editorial, and AI innovation. From launching and scaling Lifewire into a top-ranked tech site, to spearheading AI operations at People Inc., he’s spent his career building systems that connect people with smarter solutions. His favorite problems are the ones that unlock new possibilities when properly solved. For Tim, problems are just undiscovered opportunities, and AI has opened the door to solving challenges once thought immovable. When he’s not tinkering with large language models, Tim is either re-reading Project Hail Mary, or eating Mexican food.