The Guide to Buying CX Intelligence Software

The Guide to Buying CX Intelligence Software

By
Natalia Dwórznik
Last Updated: December 5, 2025
Reading time: 31 minutes

Introduction

Customer Experience Intelligence (CXI) is an emerging and exciting software category that will certainly change the way companies drive growth. But you may wonder, "What exactly is it? How is it going to help my business?"

As a leader in this space, Chattermill has long partnered with companies focused on Experience-Led Growth - a strategy emphasizing cultivating exceptional customer experiences as the foundation for sustainable business growth. It's no secret that experience-led companies achieve over double the growth of their industry counterparts. Iconic brands like Apple, Amazon, and Uber have mastered the art of transforming customer interactions into memorable experiences, creating passionate fans, and driving revenue.

However, becoming an experience-led company requires significant effort, hard work, and determination. Many businesses often lack the technology, data, and analytics needed to uncover customer needs, design effective solutions, and deliver impactful results. That’s where Customer Experience Intelligence comes in. It bridges the gap between your customer data and the crucial decisions your teams need to make daily to achieve your business objectives.

This guide aims to help you understand Customer Experience Intelligence (CXI) in greater detail, explore why it’s gaining traction among the most customer-centric companies, and identify what to look for when choosing a CXI platform like Chattermill. We hope it will assist you in selecting the right solution, building a strong business case, and aligning your internal teams on your own journey toward becoming an experience-led business.

Chapter 1: What is CX Intelligence?

Imagine a world where every business decision is driven by reliable and solid data. Where every team and department has clear answers to any business question and knows exactly what to prioritize to drive meaningful results. All customer concerns, frustrations, or ideas are analyzed in real-time, guiding every decision in business strategy.

That’s exactly what Customer Experience Intelligence was designed for. CX Intelligence goes beyond just showing what customers say. It helps businesses understand why it matters, what’s behind the feedback, and what steps to take next. It’s not just another dashboard - it’s a system designed to link customer input to real actions and business outcomes.

Customer Experience Intelligence is one of the most impactful investments you can make for your business. The insights from a CX Intelligence platform will not only transform how you retain customers but also transform how you make strategic decisions regarding your product offerings, pricing policy, supply chain management, operations, and more.

How do CX Intelligence platforms work?

Implementing CX Intelligence doesn't mean ripping out everything you have in place and starting again. It’s about integrating with your existing ecosystem to enhance and amplify the work you’re already doing.

CXI integrates with your current ecosystem to uncover hidden insights, connect the dots across feedback channels, and help your teams take action with confidence.

Here's what that look like in practice:

Step 1: Listen to all customer feedback

A CX Intelligence platform brings together all your customer experience data - from surveys, reviews, support conversations, and social media - into one unified view. By connecting multiple sources, it eliminates data silos and blind spots, ensuring your teams work from the same, complete view of the customer experience.

Step 2: Understand what’s happening and why

CX Intelligence platforms use advanced AI to analyze customer feedback, uncover trends, and highlight the key factors influencing customer behavior. This helps you move beyond surface-level insights to understand what’s driving your most important business outcomes. By pinpointing the most common pain points and areas for improvement, you can focus your efforts where they’re most likely to impact revenue, retention, and satisfaction.

Step 3: Act with clarity and confidence

Armed with meaningful, data-backed insights, teams across CX, Support, Product, and Revenue can align on priorities and take action where it matters most. Whether it’s improving product quality, reducing returns, strengthening customer relationships, or increasing retention, every decision is guided by a clear understanding of what will drive real business impact.

Customer Experience Intelligence helps teams see the full picture and make truly informed decisions. It connects customer insights to business outcomes, so you can focus efforts where they’ll make a real difference.

Who is CXI for?

Companies from various industries, go-to-market models, target audiences, and stages utilize Customer Experience Intelligence (CXI) to enhance customer experiences, which is crucial for their business growth.

While large B2C companies, such as Amazon, Uber or Booking.com, commonly use CXI solutions, they are increasingly becoming essential for businesses across all sectors. Customer Experience Intelligence (CXI) solutions aren’t designed just for one team - they are utilized by various departments throughout the organization to address their key business challenges. These include:

Most common use cases for CX Intelligence

CXI tools can be widely adopted by different teams and departments for various purposes, aligning everyone across the business around the same goals and objectives.

Here's a look at how CXI platforms can be leveraged for a range of use cases, empowering different functions to achieve business results.

Voice of the Customer Analysis

HOW IT WORKS

Most companies track metrics like NPS or CSAT, but few truly understand what’s driving those scores. A CXI platform can provide insights into how these metrics change over time and, more importantly, why. This helps businesses pinpoint specific factors affecting their scores and prioritize high-impact improvements.

QUESTIONS CXI CAN ANSWER

BEST FOR

CX, Customer Support, Product, Customer Insights Teams, Marketing, UX

Product Returns Analysis

HOW IT WORKS

Anecdotal data alone won't prevent product returns. Businesses need concrete evidence to reduce the risk of refunds. A robust CXI platform helps by analyzing trends in return survey data, identifying key product issues driving high return rates, and enabling teams to take targeted actions to reduce returns.

QUESTIONS CXI CAN ANSWER

BEST FOR

Fashion, Sports, Homeware Retailers and E-Commerce

User Experience Analysis

HOW IT WORKS

Product teams often lack the capacity to analyze thousands of customer comments or have no access to company-wide insights. A CXI platform not only aggregates data from app reviews, NPS surveys, or customer support but also identifies key pain points across the user journey. This enables Product and UX teams to pinpoint reasons for low conversion or adoption rates and strategically inform the product roadmap.

QUESTIONS CXI CAN ANSWER

BEST FOR

Product Management, UX, Product Operations, Research Teams

Retention Analysis

HOW IT WORKS

For businesses with thousands of customers, pinpointing the reasons for churn can be difficult - the details matter, and companies often respond when it's too late. Insights from a CXI platform can help reduce churn risk by identifying issues before they spiral out of control. By taking targeted actions, businesses can improve customer retention and boost overall customer lifetime value.

QUESTIONS CXI CAN ANSWER

BEST FOR

CX, Customer Insights, Product Teams, Revenue Teams

Share of Wallet Analysis

HOW IT WORKS

When teams lack insight into what motivates high-spending customers and how to attract more of them, a CXI platform can reveal important customer behaviour patterns. Customer insights can help identify the factors that drive repeat transactions among loyal customers, resulting in increased transactions per customer and higher revenue.

QUESTIONS CXI CAN ANSWER

BEST FOR

Fashion Retailers, Direct-to-Consumer Services

Product Inventory Analysis

HOW IT WORKS

QUESTIONS CXI CAN ANSWER

BEST FOR

Operations, Procurement, Merchandising, Marketing & Customer Support

Operations Analysis

HOW IT WORKS

Operations, Procurement, and Logistics teams often lack direct access to customers, leading to limited insights into their experiences. A CXI platform can pinpoint major customer concerns related to product quality, packaging, delivery, and logistics. By getting access to these insights, teams can enhance the last-mile experience, leading to improved operational efficiency, reduced costs, and fewer customer contacts.

QUESTIONS CXI CAN ANSWER

BEST FOR

Operations, Logistics, Procurement, Quality Control Teams

Support Contact Reasons Analysis

HOW IT WORKS

Customer emails, support calls, and chat conversations contain valuable insights but are often difficult to analyze at scale. A robust CXI solution automates the analysis of thousands of customer interactions, providing actionable insights that enable teams to reduce inquiry volume without dedicating hours to manual analysis.

QUESTIONS CXI CAN ANSWER

BEST FOR

CX, Support, Insights, Product, Operations, Marketing Teams, Contact Centers

Competitor Analysis

HOW IT WORKS

Many companies tend to follow their competitors' lead in strategic business decisions without fully understanding what differentiates them in the market. A CXI platform can analyze publicly available data from app reviews and social media to identify gaps and key customer concerns about competitors' products. These insights can inform the creation of superior products and experiences, enabling your brand to stand out.

QUESTIONS CXI CAN ANSWER

BEST FOR

CX, Product, Marketing and Sales Teams

Why invest in CX Intelligence?

Many companies face operational challenges, such as manual processes or slow innovation, that often drive them to seek CXI solutions to automate the processes and do the heavy lifting.

For others, CXI platforms are vital for bringing teams together around a shared focus on customer experience, helping to create a customer-centric culture.

However, most businesses see CXI as a chance to gain a competitive edge. By truly understanding their customers and delivering outstanding experiences, they can stand out in the market.

In this section, we’ll highlight the key benefits of investing in Customer Experience Intelligence:

Save hours spent on manual analysis

Analyzing unfiltered and unstructured text feedback is crucial for understanding customer experiences, yet large volumes of data can overwhelm teams, paralyzing their ability to make strategic decisions.

The impact of CXI:

Enable teams to make informed decisions

Knowing what to prioritize, and which initiatives will deliver the highest ROI, is crucial to making effective investments. But without reliable data and actionable insights, teams are left flying blind, relying on intuition and assumptions to guide their decisions.

The impact of CXI:

Improve CX metrics and drive retention

CX metrics such as customer NPS, retention, or churn are often leading indicators of long-term business success and profitability, reflecting customer satisfaction and loyalty. Yet businesses struggle to connect key business metrics to their customer experiences, leaving them unaware of the true drivers behind their revenue and growth.

The impact of CXI:

Become experience-led

To become an experience-led company, businesses must leverage their unique customer experiences as a key competitive advantage. This involves actively investing in and intentionally crafting a distinctive customer experience throughout the entire customer journey. Yet, without the appropriate tools to effectively identify and prioritize customer needs at scale, becoming experience-led is out of reach.

The impact of CXI:

Why is now the right time to invest in CXI?

You might be thinking, "Why is it necessary to invest in a CXI solution like this right now? Our current approach has been working just fine."

Although your team may be managing with existing manual processes, making strategic decisions without accurate and granular customer data puts businesses at significant risk. Companies risk allocating budget, time, and resources to the wrong investments while their competitors might celebrate another record-breaking year.

Truth is, in the era of economic turbulence, businesses can't afford to make poor investment decisions. To attract investors and stay afloat, they need to show solid unit economics. The best way to do this is by investing in a unique customer experience that drives higher customer lifetime value, ensuring the business thrives in the long run.

Chapter 2: Creating a strong business case for CX Intelligence investment

Building a business case: step by step

Now that you’ve identified the need for a solution, it’s time to navigate the buying process. In this section, we’ll help you define the business outcomes that matter most, so you can clearly communicate the value to stakeholders.

Defining the business outcomes you’re looking to achieve is key. The clearer you are on what success looks like, the easier it is to assess which solution delivers the greatest impact for your organization.

Step 1: Identify key business outcomes

Start by defining which outcomes matter most to your business. Are there specific metrics your team is aiming to improve? Is there a company-wide initiative already in progress? What KPIs are you responsible for?

This step is important because while most companies recognize that customer experience impacts revenue, they often struggle to clearly link customer insights to measurable business results.

Here are the most common business outcomes companies aim to achieve by analyzing customer feedback:

Improve VoC metrics, such as NPS and CSAT

Investing in customer experience directly impacts your Voice of the Customer metrics - whether it’s NPS, CSAT, or CHI. With the right CXI platform in place, teams can understand what’s influencing these scores, spot areas for improvement, and take meaningful action.

The outcome: higher NPS and CSAT scores, lower churn, and increased revenue.

Retain your existing users, lower churn

Unclear why customers are leaving? Analyzing feedback helps you uncover what drives loyalty - and what pushes customers away. By segmenting responses, you can compare different cohorts and pinpoint what keeps them coming back.

The result: stronger retention, lower churn, and more loyal, satisfied customers.

Reduce the volume and costs of support contacts

High support volumes can overwhelm your resources. By analyzing the most common reasons customers reach out, you can identify key issues and optimize your processes. Automating the analysis of support emails, chats, and calls enables your team to address queries more efficiently.

The result: fewer support contacts and reduced operational costs.

Reduce product returns

Understanding the root causes of product returns - whether due to defects, unclear descriptions, or fit issues - helps you tackle problems early. CXI platforms give your team the insights needed to reduce return rates and resolve pain points effectively.

The result: fewer returns, happier customers, improved loyalty that drives sustained business success.

Increase LTV and the number of transactions per customer

Do your teams lack clarity on what motivates your most loyal, high-spend customers? Analyzing customer feedback reveals what keeps them coming back - and how to attract more like them. With these insights, you can double down on what works.

The result: higher retention, increased customer lifetime value, and more transactions per customer.

Boost conversion rates on your website or app

Use CXI to identify where users struggle across your website and apps to improve conversion rates. By analyzing user experience, user experience and customer contacts, you can pinpoint friction points that hinder sales and satisfaction.

The result: smoother user experiences, improved conversion and increased sales.

Step 2: Identify the pain

Once you've identified 2–3 key business outcomes to focus on, the next step is to define the specific challenges behind each one. Ask yourself: What pain points are teams facing today? Can you pinpoint a concrete problem you'd like to solve?

For instance, if you're working at a retail fashion brand and product returns have increased over the past year, start by quantifying the issue.

The more specific you are, with real figures where possible, the easier it will be to assess impact and prioritize solutions.

Step 3: Quantify the business impact of that challenge

Once you've outlined your key challenges and defined your target outcomes, the next step is to turn the pain into measurable financial impact. Start with your baseline, then model the value of improvement.

Take the example of a retail fashion brand struggling with high return volumes. By collecting data like total order volume, return rate, and average cost per return, you can estimate the annual cost of returns. This gives you a concrete way to highlight the scale of the problem - and a compelling case to share with leadership.

Step 4: Quantify the ROI & payback

Once you know the potential impact, connect it to investment costs to show ROI.

Example metrics to calculate:

Step 5: Document assumptions

A business case is only as strong as its assumptions - the foundation your calculations depend on, like "returns cost $10 each." If any assumption is off, your ROI changes. By listing them clearly, you help leadership understand which numbers are solid versus which could shift, so they can make informed decisions.

Template: Make the case for investment

Use this template to outline the outcomes your business wants to achieve with a Customer Experience Intelligence Solution. It will help you connect key challenges to measurable impact and build a compelling business case to move forward.

Chapter 3: The CX Intelligence category and market

As the AI landscape continues to evolve, so do the ways businesses can turn customer feedback into actionable insights. To close the data gaps in customer feedback analysis, vendors have taken a variety of approaches - each with its own strengths, limitations, and ideal use cases.

The four most common approaches businesses consider are:

At first glance, these categories may seem interchangeable, and it’s true that there can be overlapping features across solutions.

However, there are key differences in how each one captures, analyzes, and operationalizes feedback. Understanding these differences will help you determine which approach is best suited to your organization’s needs and objectives.

Experience Management Platforms

Example solutions: Medallia, Qualtrics, InMoment
Best suited for: Large enterprises looking for an all-in-one platform that combines survey collection, analytics, and the ability to scale.

Customer Experience Management (CXM) solutions are built for large enterprises that want an all-in-one platform for survey creation, distribution, data collection, and analysis. These platforms offer highly customizable survey tools and support the full end-to-end process - from designing and sending surveys to analyzing results.

While the appeal of an all-in-one system is strong, it often comes with trade-offs: high costs, complex onboarding, limited flexibility, and a steep learning curve.

In addition, many CXM providers excel at data collection but fall short on the analytics side. Their reliance on rule-based AI can result in insights that miss nuance and subtle signals, and lack actionable intelligence - especially compared to more advanced, modern AI models.

Customer Feedback Analytics Tools

Example solutions: Thematic, Enterpret, UnWrap
Best suited for: Mid-market companies seeking a point solution, designed to solve one specific problem or use case.

A typical Customer Feedback Analytics platform is often a point solution, built to address one specific problem or use case within a business. It focuses narrowly on a single function - such as product feedback analysis or customer experience analysis - delivering specialized insights for that area.

Although these tools might provide strong, targeted results within their specific areas, they often fall short when companies need to scale customer feedback insights across broader organizations - spanning multiple teams and varied use cases.

Customer Experience Intelligence Platforms

Example solutions: Chattermill
Best suited for: Enterprise companies that see CX as a key growth driver - and need actionable and reliable insights that connect CX performance to their key business results.

Customer Experience Intelligence solutions bring together the intuitive design of point solutions with the power and scale of enterprise-grade platforms.

Here’s what sets strong Customer Experience Intelligence platforms apart:

CXI analyzes the voice of the customer in your business context

A CX Intelligence platform goes beyond basic dashboards or survey analytics. It helps you understand customer feedback in the full context of your business - so you can make decisions based on a complete picture, not isolated data points.

CXI platforms deliver both: strategic and precision insights

A CX intelligence platform delivers two types of insights that together give your business a better understanding of customer feedback

CXI platforms deliver outcomes for every team

Insights are only valuable when translated into action. A CX Intelligence platform enables every team to convert insights into concrete decisions that drive measurable results throughout the organization.

Generative AI Solutions

Example solutions: ChatGPT, Gemini, Claude, Microsoft Copilot
Best suited for: Companies with small datasets, single data sources and single use cases, looking for fast, flexible ways to generate insights.

Generative AI tools offer a range of capabilities for summarizing and interpreting text-based data - including customer feedback. They might help teams accelerate feedback analysis, summarize key insights, or draft reports, making them valuable for quick, targeted tasks.

Chapter 4: Feature function evaluation guide

Whether you’re exploring a Customer Experience Management solution, Customer Feedback Analytics tool, or a Customer Experience Intelligence platform, it can be challenging to determine if the option you choose truly fits your needs. Since partnering with a vendor is often a long-term commitment - and switching later can be costly and complicated - it’s important to approach this decision carefully.

To increase your chances of finding the best fit, we recommend creating an evaluation matrix that outlines key criteria and lets you score vendors systematically during your review.

Our evaluation is divided into four key sections, each with a useful checklist:

Feedback unification capabilities

The first thing to evaluate in a potential vendor is the type of data they can integrate and how that integration works. To get meaningful insights, you need to bring together feedback from all your channels - surveys, reviews, support tickets, and more - into one place. A platform that unifies this data into a single source of truth lays the foundation for reliable and effective customer feedback analysis.

Integrations with multiple feedback sources

Check which feedback sources your potential solution supports, such as surveys, support tickets, online reviews, and internal data (CRM, CSV files). You may start with a few key channels, but ensure the vendor can add more complex sources later, like social media or call recordings, to avoid costly switches down the line. When evaluating a provider, look for one that allows customization of pre-built integrations

Coverage for multiple languages

Check how the provider handles multiple languages. If you plan to expand globally, you need accurate translation and analysis for all languages.

API

If you collect feedback using internal tools or plan to import it from a central data warehouse, check that your provider includes API access in your package and offers clear API documentation. It allows you to automatically send feedback into the platform and push insights back into your internal systems.

Data unification

Data unification means more than just connecting multiple feedback channels - it’s about combining all that data into a single, clear project or dashboard. To truly understand the full customer journey, you need one unified view, not separate snapshots of individual touchpoints.

Metadata enrichment

Metadata enrichment means adding extra details to your feedback, like customer ID, transactional data, or location, so you can slice and dice feedback to get more meaningful insights. This helps you filter and compare data more effectively, making it easier to answer complex questions.

Noise removal

Ensure your solution can filter out irrelevant or low-value data - such as greetings and unrelated chatter - and eliminate duplicate entries to keep results accurate.

PII anonymization

Always consider how vendors handle personally identifiable information (PII). Ensure that sensitive data, like phone numbers or credit card details, is anonymized or removed when necessary.

AI capabilities

AI analytics lie at the core of every solution in this category. However, not all AI approaches deliver truly actionable insights. Make sure your chosen platform uses cutting-edge AI models to provide accurate, reliable, and consistent results. These insights should be detailed enough to help you confidently prioritize the most important strategic and tactical initiatives.

Taxonomy

A taxonomy is a system that organizes customer feedback into categories and themes. Since every business is unique, a generic taxonomy provides limited value. Choose a platform that customizes analysis for your specific datasets, tagging feedback with themes relevant to your products and services - not just broad industry terms.

Achieving the right level of detail

A good taxonomy balances precision and clarity. Too much detail can obscure broader trends. The best solutions offer multiple levels of granularity - from broad categories to specific themes - letting you move easily between high-level overviews and detailed insights.

Conceptual themes

Choose tools that offer conceptual themes rather than just keywords or mentions. While keywords track how often terms like "bug" appear, conceptual themes group related feedback to highlight the underlying issues - such as "app reliability problems."

Reporting capabilities

Robust reporting turns feedback into action. Your solution should help teams track trends, pinpoint root causes, and monitor key metrics, while staying easy to use so anyone can explore data and answer business questions with confidence.

When evaluating potential providers, focus on these key features and capabilities:

Metrics

Ensure the platform supports a wide range of metrics - NPS, CSAT, net sentiment, sentiment distribution, positivity, and negativity indexes - and allows you to include your own internal business metrics.

Filters & segments

Look for a solution that lets you filter, segment, and enrich data with multiple layers of breakdowns to build tailored reports answering specific business questions.

Comparisons

Look for a solution that allows you to compare data across user segments, geographic locations, or time periods to quickly analyze performance across different markets or customer groups.

Historical tracking

Ensure the vendor retains historical data for a significant period and supports time-series analysis to track changes over time and enable benchmarking against past periods.

Collaboration & sharing capabilities

You’ve analyzed your feedback and want to share the results with product teams and stakeholders. Choose a solution that makes collaboration easy, democratizes insights, and lets everyone access and explore data independently.

When evaluating potential providers, focus on these key features and capabilities:

Workflows

Look for a solution that makes it easy to keep your team updated. Can you automatically send reports to the right people via email or Slack?

Report sharing

If you collaborate with external partners, choose a solution that lets you share specific reports or dashboards securely - without giving full access to the platform.

Data exports

Ensure the solution lets you export analyzed data in formats like CSV or PDF, or access it via API.

Alerting

Look for a solution that can trigger alerts when anomalies or sudden changes in your data are detected.

Enterprise readiness

If you’re trusting a third-party provider with your customer data, it’s essential to ensure they meet your legal and security requirements.

Look for providers that offer:

Chapter 5: Operationalization

Insights come first, but real impact comes from taking action.

Even after defining your key business outcomes during the ROI process, it’s often unclear how to translate those goals into actionable steps within your platform.

Technology alone won’t deliver results. Real success comes from combining powerful tools with expert guidance.

Vendor evaluation guide

Technical onboarding

Onboarding

Find out how quickly your team can get up and running - and how long it takes to fully set up and configure the platform.

Why does this matter?

A smooth, fast onboarding means your team starts benefiting from the platform sooner, reducing downtime and speeding up time to value. Delays in setup can slow progress and impact your overall program success.

Training & certification

Ask if the vendor offers on-demand training and certification for your teams, so everyone can confidently learn how to use the platform.

How to spot the right partner?

Choose a provider that offers a mix of in-person training, on-demand courses, and certification programs to support self-paced learning.