Competitor Alternatives

Qualtrics vs. InMoment: Which VoC Platform Is Best for Customer Retention Analytics?

Qualtrics vs. InMoment: Which VoC Platform Is Best for Customer Retention Analytics?
Marketing Director at SentiSum
LinkedIn icon
Qualtrics vs. InMoment: Which VoC Platform Is Best for Customer Retention Analytics?

Competition is at an all-time high, and retaining consumers has become just as (if not more) important than acquiring them. Acquiring a new customer now is 5–7x more expensive than retaining an existing one. 

Keeping that in mind, several mid-market to enterprise brands in DTC/retail, travel, SaaS, and financial services have been using Voice of the Customer (VoC) platforms as they offer actionable insights from real-time feedback to reduce churn, build loyalty, and develop retention strategies. A study by ImpactMyBiz stresses that 86% of the buyers are ready to pay more for a better customer experience.

In this guide, we will explore how Qualtrics and InMoment support customer retention analytics, focusing on AI-enabled tagging, automation, omnichannel VoC, and integrations. 

We will also highlight how, as a modern AI-native VoC platform, SentiSum offers a streamlined, more agile option for support-led teams.

Comparing Qualtrics vs InMoment vs SentiSum

Criteria SentiSum Qualtrics XM InMoment XI
Core focus AI ticket and conversation analytics for support operations, with real-time auto-tagging, sentiment and root-cause views. Broad experience management across customer, employee, product and brand with survey-led analytics and text analytics (Text iQ, Discover). End-to-end VoC and experience improvement with self-serve text analytics and program execution features.
Typical data sources captured Helpdesk tickets, CRM, chat, email, calls, surveys, reviews. Surveys plus omnichannel conversations and public reviews or social via XM Discover. Surveys, social reviews, chat logs and call transcripts.
AI text analytics features Real-time auto-tagging, granular multi-level topics, sentiment and priority; purpose-built for ticket triage and trend discovery. Topic tagging and sentiment with Text iQ, plus cross-channel analytics via Discover. Native language understanding, self-serve text analytics, anomaly detection and impact simulation.
Integrations ecosystem Deep helpdesk integrations such as Zendesk, Intercom and Gorgias; marketplace listings and one-click starts. Works across the XM suite with data pipelines that include surveys and conversational sources. Program-level integrations, including export to BI tools and messaging channels like WhatsApp surveys.
Time to value Fast setup reported in partner listings, with custom AI configured in days. Depends on program scope and modules selected. Text iQ and Discover are available within XM projects. Program rollouts with packaged capabilities; recent updates emphasize easier data export and operationalization.
Best-fit scenarios Support-heavy teams that need accurate, automatic tagging across tickets and chats to expose drivers and quickly act. Enterprises running multi-discipline XM programs with strong survey operations and cross-channel analysis. CX teams seeking a single program layer for VoC collection, analysis and action planning at scale.

Qualtrics: An Overview

Qualtrics homepage

Qualtrics is an all-in-one experience management solution, most famous for its VoC analytics that enable organizations to find pain points along the customer journey and maximize customer satisfaction and loyalty while conducting market research. 

The platform offers real-time predictive analytics, workflow automation, and role-based dashboards that can identify insights and create efficiencies to enable organizations to act quickly. 

Qualtrics Pros

Let’s go over some of the best features of Qualtrics:

Advanced Survey Design and Analytics Engine

Qualtrics provides robust survey creation capabilities with advanced logic, branching, and statistical analysis tools. The platform processes survey data using algorithms to predict churn likelihood and forecast customer satisfaction trends. 

Enterprise-Scale Customization Options

The platform allows extensive customization through survey logic, role-based dashboards, and workflow configurations. Enterprise teams can tailor interfaces to meet specific departmental needs and create compliance-friendly surveys for regulated industries. 

Established Integration Ecosystem

Qualtrics connects with major CRM platforms like Salesforce, customer support systems, and enterprise analytics tools. These integrations enable data flow between feedback collection and operational systems, supporting closed-loop processes for customer follow-up and case management.

Qualtrics Limitations 

What are the limitations of Qualtrics you must know? Let’s take a look: 

Steep Learning Curve and Implementation Complexity

Multiple user reviews consistently highlight Qualtrics' complexity for advanced modules, dashboard creation, and administrative tasks.

Qualtrics cons

The platform typically requires dedicated power users and extensive training to achieve full functionality. For busy CX teams needing immediate insights, this learning curve can significantly delay time-to-value.

High Implementation Costs and Price Barriers

User feedback indicates that Qualtrics' pricing is often justified only when organizations fully utilize many advanced features. 

Qualtrics pricing issue

For mid-market companies or teams focused specifically on retention analytics, the cost-to-benefit ratio may not align with budget constraints or specific use cases.

Performance and Reporting Limitations

Users also report slow report generation and performance issues when dashboards contain multiple widgets. 

Qualtrics reporting issue

Additionally, constraints on side-by-side time comparisons limit the ability to quickly identify trends and patterns that drive customer retention decisions.

InMoment: An Outline

InMoment homepage

InMoment is a user-friendly, enterprise-grade VoC solution powered by artificial intelligence, offering a variety of tools for data analysis. 66% of customers expect brands to respond and resolve issues in minutes, and InMoment makes that happen. 

It is strong in real-time feedback collection from surveys, reviews, social media, contact centers, and more, and produces actionable analytics and journey mapping to perform market research.

InMoment Strengths

InMoment positions itself as a customer intelligence platform that combines feedback collection, operational data, and journey mapping into a unified system. 

Multi-Channel Feedback Integration Capabilities

InMoment processes feedback from various sources, including surveys, online reviews, social media, contact center transcripts, and other digital touchpoints. This breadth allows organizations to consolidate disparate feedback streams into a single interface for analysis and reporting purposes.

Real-Time Processing and Alert Systems

The platform processes incoming feedback and can trigger alerts to relevant teams through dashboard notifications. This capability supports faster response times when customer issues are detected across different channels and touchpoints.

Journey Analytics and Mapping Features

InMoment provides customer journey visualization tools that help organizations identify specific points where customer satisfaction changes. These mapping capabilities can support root cause analysis and process improvement initiatives.

Enterprise-Scale Data Processing

The platform handles large volumes of feedback data across multiple channels, making it suitable for organizations with extensive customer interaction points and high feedback volumes.

Limitations of InMoment

Here are some common drawbacks of InMoment

High Costs and Poor Value Perception

User reviews consistently indicate that InMoment is expensive for smaller teams, with pricing perceived as poor value at certain levels. 

InMoment cost review

Mid-market companies focused on retention analytics may find that the cost structure doesn't align with budget constraints or specific use case requirements.

Reporting Limitations and Technical Complexity

Users also report constraints in reporting and filtering capabilities, plus customization requirements that demand technical expertise. 

InMoment reporting review

Busy CX teams needing rapid insights may find these limitations slow down decision-making and require additional technical resources.

Performance and Reliability Concerns

Multiple user reviews cite slower performance and occasional system unreliability issues. Retention-focused teams that need consistent, real-time access to customer sentiment data may experience disruptions that impact critical business responses.

Service Delivery and Support Challenges

Customer feedback highlights difficulties getting promised support and service delivery concerns, reflected in low customer satisfaction scores.

What Makes SentiSum the Best Qualtrics and InMoment Alternative

SentiSum homepage

SentiSum differentiates itself by being the AI-native Voice of Customer platform, lightweight, and purpose-built for real-time retention analytics. 

While Qualtrics and InMoment lean heavily on surveys, SentiSum thrives on the unstructured feedback data that most CX teams already have: tickets, chats, and NPS comments. 

Here are the core features: 

Kyo: Your Customer Second Brain

SentiSum's standout feature is Kyo, the Intelligent AI Assistant that acts as your "Customer Second Brain." Unlike traditional dashboards that require manual exploration, Kyo provides conversational summaries and personalized pattern recognition. 

Kyo, the intelligent AI Assistant

Simply ask Kyo, "What's driving customer complaints this week?" and receive immediate, written explanations with context and recommended actions. It learns your role and becomes smarter the more you use it, whether you're in customer success, marketing, or product management.

This way, unlike traditional dashboards that require manual exploration, Kyo provides conversational summaries and proactive insights.

AI-Native Feedback Intelligence

SentiSum analyzes conversations and feedback automatically using natural language processing, eliminating the need for manual survey design, tagging, or export processes.

SentiSum’s feedback analytics capabilities

It powers real-time conversation summarization and anomaly detection, surfacing issues like "shipping delays" or "login errors" immediately without any setup overhead.

Mastering Unstructured Data Through Intelligent Automation

Most feedback today is captured in support tickets, live chats, or emails. SentiSum excels in converting unstructured data to structured, actionable information through its multi-language support and contextual tagging capabilities, helping identify areas explaining why customers churn and what drives retention.

Automated AI Tagging

Every piece of feedback instantaneously began to be tagged, or categorized, into themes like "pricing issues, "deleted orders", or "service problems", meaning that the manual tagging was now redundant and universally reliable across firms.

Custom Dashboards & Modular System

Each user can create function-tailored views using modular 'cards' focused on KPIs, themes, or issue tracking. Live dashboards reflect how your customers actually talk, not generic sentiment models—delivered within days, not months of setup.

Quick, Easy, and Scalable

SentiSum's integration with Zendesk, Freshdesk, Gorgias, Intercom, and other systems means teams can start generating insights on the go. 

SentiSum integrations

Unlike legacy VoC platforms that require extensive training, Kyo learns from your interactions and provides personalized insights based on your role. This makes SentiSum well-suited for support-led CX programs where speed and agility are essential.

Speech Analytics & Voice Intelligence

SentiSum's platform extends beyond text analysis to include voice call analysis, real-time transcription, voice sentiment detection, and agent performance insights. 

This comprehensive approach to customer communication analysis sets it apart from text-only VoC platforms.

Check out our recent YouTube videos to get a better idea of how we can help you.

Use Cases: Which Tool to Choose, and When?

Here’s our recommendation on which tool you can choose depending on your workflow:

When Should You Choose Qualtrics?

If you are a large organization and require a customizable and predictive customer experience management approach, and you want some type of sophisticated predictive retention modeling approach.

  1. Survey Centered Programs: If your retention strategy is dependent upon structured surveys, like NPS or CSAT, or structured employee engagement surveys, the flexible nature of Qualtrics is product-agnostic.
  2. Complex Industries: Regardless of what your program looks like, if you operate in a heavily regulated industry (e.g., healthcare, finance, or the government), Qualtrics is much more compliance-friendly and customizable than other software.
  3. Enterprise Integrations: If your company is already utilizing Salesforce, SAP, or another large-scale CRM environment, Qualtrics will provide deep integration into those applications that other products will not provide.
  4. Predictive Retention Modeling: If you want sophisticated predictive churn modeling and want to target “at-risk” consumers preemptively, Qualtrics provides the data and statistical analytical structure to do so.

When Should You Choose InMoment?

InMoment is ideal for organizations that want to link in-the-moment feedback to live customer journeys and have the ability to take action on feedback immediately.

  1. Hospitality and Travel Brands: Hotels, airlines, and restaurants that require live alerts to service failures to salvage the moment and their consumers' experience should use InMoment.
  2. Retail: Omnichannel retail brands with reviews, survey feedback, and in-store sentiment will benefit from InMoments' ability to combine these touchpoints.
  3. Customer Journey Mapping: Brands that want to face the churn exactly when they experience churn in the customer lifecycle, whether onboarding, checkout, or support, InMoment's journey analytics will be helpful.
  4. Operational Accountability: Teams that require not just insights but also workflow tools that allow for the case to be tracked until it is resolved can tailor InMoment to their specific needs.

When Should You Choose SentiSum?

  • For Leadership & Teams: When leaders need to make sense of AI-driven insights from unstructured feedback—quickly, simply, and without the heavy overhead of traditional Voice of Customer (VoC) programs—they choose SentiSum.
  • For Support-Led Teams: Handling thousands of tickets, chats, or emails every month? SentiSum delivers retention analytics straight from raw data—no surveys required—while streamlining feedback collection.
  • For Fast-Moving DTC & SaaS Brands: Looking for rapid insights into churn drivers like failed payments or onboarding friction? Our real-time dashboards give you answers when you need them most.
  • For Firms Seeking Automation:  Tired of manual tagging, survey design, and lengthy setup? SentiSum removes the busywork with AI-powered automation, letting your team focus on action—not admin.
  • For Mid-Market Firms:  Want to scale VoC insights without complicating the process? SentiSum integrates directly with Zendesk, Gorgias, or Intercom, delivering fast time-to-value without the months-long setup of legacy VoC solutions.

SentiSum has been designed from the ground up as retention-first VoC insights analytics. There is no heavy survey program, as we extract meaning from unstructured feedback that your customers are providing through support tickets, support chats, task chats, and NPS responses. 

Hopin’s experience

When Hopin, an events tech platform, had no way to get visibility into customer challenges with a manual tagging process, SentiSum transformed their process. 

Once integrated with Zendesk, they had deep insight and sentiment context rapidly, to the extent that product teams could now slice ‘Views’ and self-serve insight for roadmap development. As their Customer Operations Manager, Gareth Elsby shared, “passing it upstream to product stopped all of those ad-hoc requests and then some. 

Here’s the detailed case study on how Hopin is encouraging wider teams to self-serve insights from customer support data. 

Final Note

Qualtrics delivers a comprehensive survey platform and scalable analysis, which works well for research-oriented CX programs. InMoment, on the other hand, excels at real-time, multi-channel feedback synthesis and is best suited for a larger-scale, alert-based retention workflow.

That being said, SentiSum provides a modern, AI-native VOC platform that supercharges your workflow to uncover consumers' insights by targeting retention triggers with minimal deployment friction, outperforming most agile, support-led teams that look to monitor customer feedback in real-time. 

If you want to experience the same, book a demo now.

Join a community of 2139+ customer-focused professionals and receive bi-weekly articles, podcasts, webinars, and more!

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Competitor Alternatives

Qualtrics vs. InMoment: Which VoC Platform Is Best for Customer Retention Analytics?

September 9, 2025
Stephen Christou
Marketing Director at SentiSum
In this article
Understand your customer’s problems and get actionable insights
Learn more

Is your AI accurate, or am I getting sold snake oil?

The accuracy of every NLP software depends on the context. Some industries and organisations have very complex issues, some are easier to understand.

Our technology surfaces more granular insights and is very accurate compared to (1) customer service agents, (2) built-in keyword tagging tools, (3) other providers who use more generic AI models or ask you to build a taxonomy yourself.

We build you a customised taxonomy and maintain it continuously with the help of our dedicated data scientists. That means the accuracy of your tags are not dependent on the work you put in.

Either way, we recommend you start a free trial. Included in the trial is historical analysis of your data—more than enough for you to prove it works.

Competition is at an all-time high, and retaining consumers has become just as (if not more) important than acquiring them. Acquiring a new customer now is 5–7x more expensive than retaining an existing one. 

Keeping that in mind, several mid-market to enterprise brands in DTC/retail, travel, SaaS, and financial services have been using Voice of the Customer (VoC) platforms as they offer actionable insights from real-time feedback to reduce churn, build loyalty, and develop retention strategies. A study by ImpactMyBiz stresses that 86% of the buyers are ready to pay more for a better customer experience.

In this guide, we will explore how Qualtrics and InMoment support customer retention analytics, focusing on AI-enabled tagging, automation, omnichannel VoC, and integrations. 

We will also highlight how, as a modern AI-native VoC platform, SentiSum offers a streamlined, more agile option for support-led teams.

Comparing Qualtrics vs InMoment vs SentiSum

Criteria SentiSum Qualtrics XM InMoment XI
Core focus AI ticket and conversation analytics for support operations, with real-time auto-tagging, sentiment and root-cause views. Broad experience management across customer, employee, product and brand with survey-led analytics and text analytics (Text iQ, Discover). End-to-end VoC and experience improvement with self-serve text analytics and program execution features.
Typical data sources captured Helpdesk tickets, CRM, chat, email, calls, surveys, reviews. Surveys plus omnichannel conversations and public reviews or social via XM Discover. Surveys, social reviews, chat logs and call transcripts.
AI text analytics features Real-time auto-tagging, granular multi-level topics, sentiment and priority; purpose-built for ticket triage and trend discovery. Topic tagging and sentiment with Text iQ, plus cross-channel analytics via Discover. Native language understanding, self-serve text analytics, anomaly detection and impact simulation.
Integrations ecosystem Deep helpdesk integrations such as Zendesk, Intercom and Gorgias; marketplace listings and one-click starts. Works across the XM suite with data pipelines that include surveys and conversational sources. Program-level integrations, including export to BI tools and messaging channels like WhatsApp surveys.
Time to value Fast setup reported in partner listings, with custom AI configured in days. Depends on program scope and modules selected. Text iQ and Discover are available within XM projects. Program rollouts with packaged capabilities; recent updates emphasize easier data export and operationalization.
Best-fit scenarios Support-heavy teams that need accurate, automatic tagging across tickets and chats to expose drivers and quickly act. Enterprises running multi-discipline XM programs with strong survey operations and cross-channel analysis. CX teams seeking a single program layer for VoC collection, analysis and action planning at scale.

Qualtrics: An Overview

Qualtrics homepage

Qualtrics is an all-in-one experience management solution, most famous for its VoC analytics that enable organizations to find pain points along the customer journey and maximize customer satisfaction and loyalty while conducting market research. 

The platform offers real-time predictive analytics, workflow automation, and role-based dashboards that can identify insights and create efficiencies to enable organizations to act quickly. 

Qualtrics Pros

Let’s go over some of the best features of Qualtrics:

Advanced Survey Design and Analytics Engine

Qualtrics provides robust survey creation capabilities with advanced logic, branching, and statistical analysis tools. The platform processes survey data using algorithms to predict churn likelihood and forecast customer satisfaction trends. 

Enterprise-Scale Customization Options

The platform allows extensive customization through survey logic, role-based dashboards, and workflow configurations. Enterprise teams can tailor interfaces to meet specific departmental needs and create compliance-friendly surveys for regulated industries. 

Established Integration Ecosystem

Qualtrics connects with major CRM platforms like Salesforce, customer support systems, and enterprise analytics tools. These integrations enable data flow between feedback collection and operational systems, supporting closed-loop processes for customer follow-up and case management.

Qualtrics Limitations 

What are the limitations of Qualtrics you must know? Let’s take a look: 

Steep Learning Curve and Implementation Complexity

Multiple user reviews consistently highlight Qualtrics' complexity for advanced modules, dashboard creation, and administrative tasks.

Qualtrics cons

The platform typically requires dedicated power users and extensive training to achieve full functionality. For busy CX teams needing immediate insights, this learning curve can significantly delay time-to-value.

High Implementation Costs and Price Barriers

User feedback indicates that Qualtrics' pricing is often justified only when organizations fully utilize many advanced features. 

Qualtrics pricing issue

For mid-market companies or teams focused specifically on retention analytics, the cost-to-benefit ratio may not align with budget constraints or specific use cases.

Performance and Reporting Limitations

Users also report slow report generation and performance issues when dashboards contain multiple widgets. 

Qualtrics reporting issue

Additionally, constraints on side-by-side time comparisons limit the ability to quickly identify trends and patterns that drive customer retention decisions.

InMoment: An Outline

InMoment homepage

InMoment is a user-friendly, enterprise-grade VoC solution powered by artificial intelligence, offering a variety of tools for data analysis. 66% of customers expect brands to respond and resolve issues in minutes, and InMoment makes that happen. 

It is strong in real-time feedback collection from surveys, reviews, social media, contact centers, and more, and produces actionable analytics and journey mapping to perform market research.

InMoment Strengths

InMoment positions itself as a customer intelligence platform that combines feedback collection, operational data, and journey mapping into a unified system. 

Multi-Channel Feedback Integration Capabilities

InMoment processes feedback from various sources, including surveys, online reviews, social media, contact center transcripts, and other digital touchpoints. This breadth allows organizations to consolidate disparate feedback streams into a single interface for analysis and reporting purposes.

Real-Time Processing and Alert Systems

The platform processes incoming feedback and can trigger alerts to relevant teams through dashboard notifications. This capability supports faster response times when customer issues are detected across different channels and touchpoints.

Journey Analytics and Mapping Features

InMoment provides customer journey visualization tools that help organizations identify specific points where customer satisfaction changes. These mapping capabilities can support root cause analysis and process improvement initiatives.

Enterprise-Scale Data Processing

The platform handles large volumes of feedback data across multiple channels, making it suitable for organizations with extensive customer interaction points and high feedback volumes.

Limitations of InMoment

Here are some common drawbacks of InMoment

High Costs and Poor Value Perception

User reviews consistently indicate that InMoment is expensive for smaller teams, with pricing perceived as poor value at certain levels. 

InMoment cost review

Mid-market companies focused on retention analytics may find that the cost structure doesn't align with budget constraints or specific use case requirements.

Reporting Limitations and Technical Complexity

Users also report constraints in reporting and filtering capabilities, plus customization requirements that demand technical expertise. 

InMoment reporting review

Busy CX teams needing rapid insights may find these limitations slow down decision-making and require additional technical resources.

Performance and Reliability Concerns

Multiple user reviews cite slower performance and occasional system unreliability issues. Retention-focused teams that need consistent, real-time access to customer sentiment data may experience disruptions that impact critical business responses.

Service Delivery and Support Challenges

Customer feedback highlights difficulties getting promised support and service delivery concerns, reflected in low customer satisfaction scores.

What Makes SentiSum the Best Qualtrics and InMoment Alternative

SentiSum homepage

SentiSum differentiates itself by being the AI-native Voice of Customer platform, lightweight, and purpose-built for real-time retention analytics. 

While Qualtrics and InMoment lean heavily on surveys, SentiSum thrives on the unstructured feedback data that most CX teams already have: tickets, chats, and NPS comments. 

Here are the core features: 

Kyo: Your Customer Second Brain

SentiSum's standout feature is Kyo, the Intelligent AI Assistant that acts as your "Customer Second Brain." Unlike traditional dashboards that require manual exploration, Kyo provides conversational summaries and personalized pattern recognition. 

Kyo, the intelligent AI Assistant

Simply ask Kyo, "What's driving customer complaints this week?" and receive immediate, written explanations with context and recommended actions. It learns your role and becomes smarter the more you use it, whether you're in customer success, marketing, or product management.

This way, unlike traditional dashboards that require manual exploration, Kyo provides conversational summaries and proactive insights.

AI-Native Feedback Intelligence

SentiSum analyzes conversations and feedback automatically using natural language processing, eliminating the need for manual survey design, tagging, or export processes.

SentiSum’s feedback analytics capabilities

It powers real-time conversation summarization and anomaly detection, surfacing issues like "shipping delays" or "login errors" immediately without any setup overhead.

Mastering Unstructured Data Through Intelligent Automation

Most feedback today is captured in support tickets, live chats, or emails. SentiSum excels in converting unstructured data to structured, actionable information through its multi-language support and contextual tagging capabilities, helping identify areas explaining why customers churn and what drives retention.

Automated AI Tagging

Every piece of feedback instantaneously began to be tagged, or categorized, into themes like "pricing issues, "deleted orders", or "service problems", meaning that the manual tagging was now redundant and universally reliable across firms.

Custom Dashboards & Modular System

Each user can create function-tailored views using modular 'cards' focused on KPIs, themes, or issue tracking. Live dashboards reflect how your customers actually talk, not generic sentiment models—delivered within days, not months of setup.

Quick, Easy, and Scalable

SentiSum's integration with Zendesk, Freshdesk, Gorgias, Intercom, and other systems means teams can start generating insights on the go. 

SentiSum integrations

Unlike legacy VoC platforms that require extensive training, Kyo learns from your interactions and provides personalized insights based on your role. This makes SentiSum well-suited for support-led CX programs where speed and agility are essential.

Speech Analytics & Voice Intelligence

SentiSum's platform extends beyond text analysis to include voice call analysis, real-time transcription, voice sentiment detection, and agent performance insights. 

This comprehensive approach to customer communication analysis sets it apart from text-only VoC platforms.

Check out our recent YouTube videos to get a better idea of how we can help you.

Use Cases: Which Tool to Choose, and When?

Here’s our recommendation on which tool you can choose depending on your workflow:

When Should You Choose Qualtrics?

If you are a large organization and require a customizable and predictive customer experience management approach, and you want some type of sophisticated predictive retention modeling approach.

  1. Survey Centered Programs: If your retention strategy is dependent upon structured surveys, like NPS or CSAT, or structured employee engagement surveys, the flexible nature of Qualtrics is product-agnostic.
  2. Complex Industries: Regardless of what your program looks like, if you operate in a heavily regulated industry (e.g., healthcare, finance, or the government), Qualtrics is much more compliance-friendly and customizable than other software.
  3. Enterprise Integrations: If your company is already utilizing Salesforce, SAP, or another large-scale CRM environment, Qualtrics will provide deep integration into those applications that other products will not provide.
  4. Predictive Retention Modeling: If you want sophisticated predictive churn modeling and want to target “at-risk” consumers preemptively, Qualtrics provides the data and statistical analytical structure to do so.

When Should You Choose InMoment?

InMoment is ideal for organizations that want to link in-the-moment feedback to live customer journeys and have the ability to take action on feedback immediately.

  1. Hospitality and Travel Brands: Hotels, airlines, and restaurants that require live alerts to service failures to salvage the moment and their consumers' experience should use InMoment.
  2. Retail: Omnichannel retail brands with reviews, survey feedback, and in-store sentiment will benefit from InMoments' ability to combine these touchpoints.
  3. Customer Journey Mapping: Brands that want to face the churn exactly when they experience churn in the customer lifecycle, whether onboarding, checkout, or support, InMoment's journey analytics will be helpful.
  4. Operational Accountability: Teams that require not just insights but also workflow tools that allow for the case to be tracked until it is resolved can tailor InMoment to their specific needs.

When Should You Choose SentiSum?

  • For Leadership & Teams: When leaders need to make sense of AI-driven insights from unstructured feedback—quickly, simply, and without the heavy overhead of traditional Voice of Customer (VoC) programs—they choose SentiSum.
  • For Support-Led Teams: Handling thousands of tickets, chats, or emails every month? SentiSum delivers retention analytics straight from raw data—no surveys required—while streamlining feedback collection.
  • For Fast-Moving DTC & SaaS Brands: Looking for rapid insights into churn drivers like failed payments or onboarding friction? Our real-time dashboards give you answers when you need them most.
  • For Firms Seeking Automation:  Tired of manual tagging, survey design, and lengthy setup? SentiSum removes the busywork with AI-powered automation, letting your team focus on action—not admin.
  • For Mid-Market Firms:  Want to scale VoC insights without complicating the process? SentiSum integrates directly with Zendesk, Gorgias, or Intercom, delivering fast time-to-value without the months-long setup of legacy VoC solutions.

SentiSum has been designed from the ground up as retention-first VoC insights analytics. There is no heavy survey program, as we extract meaning from unstructured feedback that your customers are providing through support tickets, support chats, task chats, and NPS responses. 

Hopin’s experience

When Hopin, an events tech platform, had no way to get visibility into customer challenges with a manual tagging process, SentiSum transformed their process. 

Once integrated with Zendesk, they had deep insight and sentiment context rapidly, to the extent that product teams could now slice ‘Views’ and self-serve insight for roadmap development. As their Customer Operations Manager, Gareth Elsby shared, “passing it upstream to product stopped all of those ad-hoc requests and then some. 

Here’s the detailed case study on how Hopin is encouraging wider teams to self-serve insights from customer support data. 

Final Note

Qualtrics delivers a comprehensive survey platform and scalable analysis, which works well for research-oriented CX programs. InMoment, on the other hand, excels at real-time, multi-channel feedback synthesis and is best suited for a larger-scale, alert-based retention workflow.

That being said, SentiSum provides a modern, AI-native VOC platform that supercharges your workflow to uncover consumers' insights by targeting retention triggers with minimal deployment friction, outperforming most agile, support-led teams that look to monitor customer feedback in real-time. 

If you want to experience the same, book a demo now.

Frequently asked questions

Is your AI accurate, or am I getting sold snake oil?

The accuracy of every NLP software depends on the context. Some industries and organisations have very complex issues, some are easier to understand.

Our technology surfaces more granular insights and is very accurate compared to (1) customer service agents, (2) built-in keyword tagging tools, (3) other providers who use more generic AI models or ask you to build a taxonomy yourself.

We build you a customised taxonomy and maintain it continuously with the help of our dedicated data scientists. That means the accuracy of your tags are not dependent on the work you put in.

Either way, we recommend you start a free trial. Included in the trial is historical analysis of your data—more than enough for you to prove it works.

Do you integrate with my systems? How long is that going to take?

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What size company do you usually work with? Is this valuable for me?

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What is your term of the contract?

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How do you keep my data private?

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Frequently Asked Questions

What is the difference between Qualtrics and InMoment for VoC?

Qualtrics excels at survey-centric VoC, utilizing advanced analytics and robust customization capabilities. InMoment specializes in real-time, multi-channel feedback ingestion with AI-powered analysis and alerts.

Is InMoment better than Qualtrics for VoC?

Yes, if you’re looking for real-time, journey-based insights and multi-channel VoC. However, if you’re looking for a deep logic and survey structure, a lot of customization options, large-scale distribution with predictive modelling, Qualtrics usually takes the lead.

Qualtrics vs InMoment pricing?

Both Qualtrics and InMoment use enterprise-focused pricing models with contact-based quotes. Qualtrics plans typically start around $420/month ($5,040 billed annually for 1,000 responses shared across all users), while InMoment also targets enterprise customers with custom pricing. 

On the other hand, SentiSum offers more transparent pricing starting at $3,000/month.

Which tool is better for customer feedback analysis?

SentiSum is best for fast, support-driven retention analysis. SentiSum works differently from most feedback applications; we do not utilize surveys. When customer service teams provide feedback via tickets, chats, or NPS comments, SentiSum ingests that unstructured feedback. 

Because SentiSum's AI tags and sentiment analyzes the feedback and provides a visual insight in a few minutes, support and customer experience teams can quickly respond to identify risks of churn and prioritize fixes.

Is your AI accurate, or am I getting sold snake oil?

The accuracy of every NLP software depends on the context. Some industries and organisations have very complex issues, some are easier to understand.

Our technology surfaces more granular insights and is very accurate compared to (1) customer service agents, (2) built-in keyword tagging tools, (3) other providers who use more generic AI models or ask you to build a taxonomy yourself.

We build you a customised taxonomy and maintain it continuously with the help of our dedicated data scientists. That means the accuracy of your tags are not dependent on the work you put in.

Either way, we recommend you start a free trial. Included in the trial is historical analysis of your data—more than enough for you to prove it works.

Competitor Alternatives
September 9, 2025
7
min read.

Qualtrics vs. InMoment: Which VoC Platform Is Best for Customer Retention Analytics?

Stephen Christou
Marketing Director at SentiSum
Table of contents
Understand your customer’s problems and get actionable insight
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TL;DR

  • Real-time retention impact: Unlike survey-dependent platforms, AI-native solutions like SentiSum identify churn risks instantly from existing support data, enabling immediate action.
  • AI-powered differentiation: Advanced automated tagging and sentiment analysis eliminate manual processes, delivering insights in minutes.
  • Cross-functional value: Modern VoC platforms enable support, product, and CX teams to access unified customer intelligence, breaking down silos that prevent effective retention strategies.
  • Subscription business focus: Purpose-built retention analytics help subscription-based businesses reduce churn through proactive identification of payment failures, onboarding friction, and service issues.
  • Speed to value advantage: Streamlined platforms integrate with existing helpdesk systems in days, not months, allowing teams to start preventing churn immediately.
  • Strategic decision support: Executive dashboards provide board-level visibility into customer experience trends and retention metrics, enabling confident strategic decisions.

Competition is at an all-time high, and retaining consumers has become just as (if not more) important than acquiring them. Acquiring a new customer now is 5–7x more expensive than retaining an existing one. 

Keeping that in mind, several mid-market to enterprise brands in DTC/retail, travel, SaaS, and financial services have been using Voice of the Customer (VoC) platforms as they offer actionable insights from real-time feedback to reduce churn, build loyalty, and develop retention strategies. A study by ImpactMyBiz stresses that 86% of the buyers are ready to pay more for a better customer experience.

In this guide, we will explore how Qualtrics and InMoment support customer retention analytics, focusing on AI-enabled tagging, automation, omnichannel VoC, and integrations. 

We will also highlight how, as a modern AI-native VoC platform, SentiSum offers a streamlined, more agile option for support-led teams.

Comparing Qualtrics vs InMoment vs SentiSum

Criteria SentiSum Qualtrics XM InMoment XI
Core focus AI ticket and conversation analytics for support operations, with real-time auto-tagging, sentiment and root-cause views. Broad experience management across customer, employee, product and brand with survey-led analytics and text analytics (Text iQ, Discover). End-to-end VoC and experience improvement with self-serve text analytics and program execution features.
Typical data sources captured Helpdesk tickets, CRM, chat, email, calls, surveys, reviews. Surveys plus omnichannel conversations and public reviews or social via XM Discover. Surveys, social reviews, chat logs and call transcripts.
AI text analytics features Real-time auto-tagging, granular multi-level topics, sentiment and priority; purpose-built for ticket triage and trend discovery. Topic tagging and sentiment with Text iQ, plus cross-channel analytics via Discover. Native language understanding, self-serve text analytics, anomaly detection and impact simulation.
Integrations ecosystem Deep helpdesk integrations such as Zendesk, Intercom and Gorgias; marketplace listings and one-click starts. Works across the XM suite with data pipelines that include surveys and conversational sources. Program-level integrations, including export to BI tools and messaging channels like WhatsApp surveys.
Time to value Fast setup reported in partner listings, with custom AI configured in days. Depends on program scope and modules selected. Text iQ and Discover are available within XM projects. Program rollouts with packaged capabilities; recent updates emphasize easier data export and operationalization.
Best-fit scenarios Support-heavy teams that need accurate, automatic tagging across tickets and chats to expose drivers and quickly act. Enterprises running multi-discipline XM programs with strong survey operations and cross-channel analysis. CX teams seeking a single program layer for VoC collection, analysis and action planning at scale.

Qualtrics: An Overview

Qualtrics homepage

Qualtrics is an all-in-one experience management solution, most famous for its VoC analytics that enable organizations to find pain points along the customer journey and maximize customer satisfaction and loyalty while conducting market research. 

The platform offers real-time predictive analytics, workflow automation, and role-based dashboards that can identify insights and create efficiencies to enable organizations to act quickly. 

Qualtrics Pros

Let’s go over some of the best features of Qualtrics:

Advanced Survey Design and Analytics Engine

Qualtrics provides robust survey creation capabilities with advanced logic, branching, and statistical analysis tools. The platform processes survey data using algorithms to predict churn likelihood and forecast customer satisfaction trends. 

Enterprise-Scale Customization Options

The platform allows extensive customization through survey logic, role-based dashboards, and workflow configurations. Enterprise teams can tailor interfaces to meet specific departmental needs and create compliance-friendly surveys for regulated industries. 

Established Integration Ecosystem

Qualtrics connects with major CRM platforms like Salesforce, customer support systems, and enterprise analytics tools. These integrations enable data flow between feedback collection and operational systems, supporting closed-loop processes for customer follow-up and case management.

Qualtrics Limitations 

What are the limitations of Qualtrics you must know? Let’s take a look: 

Steep Learning Curve and Implementation Complexity

Multiple user reviews consistently highlight Qualtrics' complexity for advanced modules, dashboard creation, and administrative tasks.

Qualtrics cons

The platform typically requires dedicated power users and extensive training to achieve full functionality. For busy CX teams needing immediate insights, this learning curve can significantly delay time-to-value.

High Implementation Costs and Price Barriers

User feedback indicates that Qualtrics' pricing is often justified only when organizations fully utilize many advanced features. 

Qualtrics pricing issue

For mid-market companies or teams focused specifically on retention analytics, the cost-to-benefit ratio may not align with budget constraints or specific use cases.

Performance and Reporting Limitations

Users also report slow report generation and performance issues when dashboards contain multiple widgets. 

Qualtrics reporting issue

Additionally, constraints on side-by-side time comparisons limit the ability to quickly identify trends and patterns that drive customer retention decisions.

InMoment: An Outline

InMoment homepage

InMoment is a user-friendly, enterprise-grade VoC solution powered by artificial intelligence, offering a variety of tools for data analysis. 66% of customers expect brands to respond and resolve issues in minutes, and InMoment makes that happen. 

It is strong in real-time feedback collection from surveys, reviews, social media, contact centers, and more, and produces actionable analytics and journey mapping to perform market research.

InMoment Strengths

InMoment positions itself as a customer intelligence platform that combines feedback collection, operational data, and journey mapping into a unified system. 

Multi-Channel Feedback Integration Capabilities

InMoment processes feedback from various sources, including surveys, online reviews, social media, contact center transcripts, and other digital touchpoints. This breadth allows organizations to consolidate disparate feedback streams into a single interface for analysis and reporting purposes.

Real-Time Processing and Alert Systems

The platform processes incoming feedback and can trigger alerts to relevant teams through dashboard notifications. This capability supports faster response times when customer issues are detected across different channels and touchpoints.

Journey Analytics and Mapping Features

InMoment provides customer journey visualization tools that help organizations identify specific points where customer satisfaction changes. These mapping capabilities can support root cause analysis and process improvement initiatives.

Enterprise-Scale Data Processing

The platform handles large volumes of feedback data across multiple channels, making it suitable for organizations with extensive customer interaction points and high feedback volumes.

Limitations of InMoment

Here are some common drawbacks of InMoment

High Costs and Poor Value Perception

User reviews consistently indicate that InMoment is expensive for smaller teams, with pricing perceived as poor value at certain levels. 

InMoment cost review

Mid-market companies focused on retention analytics may find that the cost structure doesn't align with budget constraints or specific use case requirements.

Reporting Limitations and Technical Complexity

Users also report constraints in reporting and filtering capabilities, plus customization requirements that demand technical expertise. 

InMoment reporting review

Busy CX teams needing rapid insights may find these limitations slow down decision-making and require additional technical resources.

Performance and Reliability Concerns

Multiple user reviews cite slower performance and occasional system unreliability issues. Retention-focused teams that need consistent, real-time access to customer sentiment data may experience disruptions that impact critical business responses.

Service Delivery and Support Challenges

Customer feedback highlights difficulties getting promised support and service delivery concerns, reflected in low customer satisfaction scores.

What Makes SentiSum the Best Qualtrics and InMoment Alternative

SentiSum homepage

SentiSum differentiates itself by being the AI-native Voice of Customer platform, lightweight, and purpose-built for real-time retention analytics. 

While Qualtrics and InMoment lean heavily on surveys, SentiSum thrives on the unstructured feedback data that most CX teams already have: tickets, chats, and NPS comments. 

Here are the core features: 

Kyo: Your Customer Second Brain

SentiSum's standout feature is Kyo, the Intelligent AI Assistant that acts as your "Customer Second Brain." Unlike traditional dashboards that require manual exploration, Kyo provides conversational summaries and personalized pattern recognition. 

Kyo, the intelligent AI Assistant

Simply ask Kyo, "What's driving customer complaints this week?" and receive immediate, written explanations with context and recommended actions. It learns your role and becomes smarter the more you use it, whether you're in customer success, marketing, or product management.

This way, unlike traditional dashboards that require manual exploration, Kyo provides conversational summaries and proactive insights.

AI-Native Feedback Intelligence

SentiSum analyzes conversations and feedback automatically using natural language processing, eliminating the need for manual survey design, tagging, or export processes.

SentiSum’s feedback analytics capabilities

It powers real-time conversation summarization and anomaly detection, surfacing issues like "shipping delays" or "login errors" immediately without any setup overhead.

Mastering Unstructured Data Through Intelligent Automation

Most feedback today is captured in support tickets, live chats, or emails. SentiSum excels in converting unstructured data to structured, actionable information through its multi-language support and contextual tagging capabilities, helping identify areas explaining why customers churn and what drives retention.

Automated AI Tagging

Every piece of feedback instantaneously began to be tagged, or categorized, into themes like "pricing issues, "deleted orders", or "service problems", meaning that the manual tagging was now redundant and universally reliable across firms.

Custom Dashboards & Modular System

Each user can create function-tailored views using modular 'cards' focused on KPIs, themes, or issue tracking. Live dashboards reflect how your customers actually talk, not generic sentiment models—delivered within days, not months of setup.

Quick, Easy, and Scalable

SentiSum's integration with Zendesk, Freshdesk, Gorgias, Intercom, and other systems means teams can start generating insights on the go. 

SentiSum integrations

Unlike legacy VoC platforms that require extensive training, Kyo learns from your interactions and provides personalized insights based on your role. This makes SentiSum well-suited for support-led CX programs where speed and agility are essential.

Speech Analytics & Voice Intelligence

SentiSum's platform extends beyond text analysis to include voice call analysis, real-time transcription, voice sentiment detection, and agent performance insights. 

This comprehensive approach to customer communication analysis sets it apart from text-only VoC platforms.

Check out our recent YouTube videos to get a better idea of how we can help you.

Use Cases: Which Tool to Choose, and When?

Here’s our recommendation on which tool you can choose depending on your workflow:

When Should You Choose Qualtrics?

If you are a large organization and require a customizable and predictive customer experience management approach, and you want some type of sophisticated predictive retention modeling approach.

  1. Survey Centered Programs: If your retention strategy is dependent upon structured surveys, like NPS or CSAT, or structured employee engagement surveys, the flexible nature of Qualtrics is product-agnostic.
  2. Complex Industries: Regardless of what your program looks like, if you operate in a heavily regulated industry (e.g., healthcare, finance, or the government), Qualtrics is much more compliance-friendly and customizable than other software.
  3. Enterprise Integrations: If your company is already utilizing Salesforce, SAP, or another large-scale CRM environment, Qualtrics will provide deep integration into those applications that other products will not provide.
  4. Predictive Retention Modeling: If you want sophisticated predictive churn modeling and want to target “at-risk” consumers preemptively, Qualtrics provides the data and statistical analytical structure to do so.

When Should You Choose InMoment?

InMoment is ideal for organizations that want to link in-the-moment feedback to live customer journeys and have the ability to take action on feedback immediately.

  1. Hospitality and Travel Brands: Hotels, airlines, and restaurants that require live alerts to service failures to salvage the moment and their consumers' experience should use InMoment.
  2. Retail: Omnichannel retail brands with reviews, survey feedback, and in-store sentiment will benefit from InMoments' ability to combine these touchpoints.
  3. Customer Journey Mapping: Brands that want to face the churn exactly when they experience churn in the customer lifecycle, whether onboarding, checkout, or support, InMoment's journey analytics will be helpful.
  4. Operational Accountability: Teams that require not just insights but also workflow tools that allow for the case to be tracked until it is resolved can tailor InMoment to their specific needs.

When Should You Choose SentiSum?

  • For Leadership & Teams: When leaders need to make sense of AI-driven insights from unstructured feedback—quickly, simply, and without the heavy overhead of traditional Voice of Customer (VoC) programs—they choose SentiSum.
  • For Support-Led Teams: Handling thousands of tickets, chats, or emails every month? SentiSum delivers retention analytics straight from raw data—no surveys required—while streamlining feedback collection.
  • For Fast-Moving DTC & SaaS Brands: Looking for rapid insights into churn drivers like failed payments or onboarding friction? Our real-time dashboards give you answers when you need them most.
  • For Firms Seeking Automation:  Tired of manual tagging, survey design, and lengthy setup? SentiSum removes the busywork with AI-powered automation, letting your team focus on action—not admin.
  • For Mid-Market Firms:  Want to scale VoC insights without complicating the process? SentiSum integrates directly with Zendesk, Gorgias, or Intercom, delivering fast time-to-value without the months-long setup of legacy VoC solutions.

SentiSum has been designed from the ground up as retention-first VoC insights analytics. There is no heavy survey program, as we extract meaning from unstructured feedback that your customers are providing through support tickets, support chats, task chats, and NPS responses. 

Hopin’s experience

When Hopin, an events tech platform, had no way to get visibility into customer challenges with a manual tagging process, SentiSum transformed their process. 

Once integrated with Zendesk, they had deep insight and sentiment context rapidly, to the extent that product teams could now slice ‘Views’ and self-serve insight for roadmap development. As their Customer Operations Manager, Gareth Elsby shared, “passing it upstream to product stopped all of those ad-hoc requests and then some. 

Here’s the detailed case study on how Hopin is encouraging wider teams to self-serve insights from customer support data. 

Final Note

Qualtrics delivers a comprehensive survey platform and scalable analysis, which works well for research-oriented CX programs. InMoment, on the other hand, excels at real-time, multi-channel feedback synthesis and is best suited for a larger-scale, alert-based retention workflow.

That being said, SentiSum provides a modern, AI-native VOC platform that supercharges your workflow to uncover consumers' insights by targeting retention triggers with minimal deployment friction, outperforming most agile, support-led teams that look to monitor customer feedback in real-time. 

If you want to experience the same, book a demo now.

Frequently Asked Questions

What is the difference between Qualtrics and InMoment for VoC?

Qualtrics excels at survey-centric VoC, utilizing advanced analytics and robust customization capabilities. InMoment specializes in real-time, multi-channel feedback ingestion with AI-powered analysis and alerts.

Is InMoment better than Qualtrics for VoC?

Yes, if you’re looking for real-time, journey-based insights and multi-channel VoC. However, if you’re looking for a deep logic and survey structure, a lot of customization options, large-scale distribution with predictive modelling, Qualtrics usually takes the lead.

Qualtrics vs InMoment pricing?

Both Qualtrics and InMoment use enterprise-focused pricing models with contact-based quotes. Qualtrics plans typically start around $420/month ($5,040 billed annually for 1,000 responses shared across all users), while InMoment also targets enterprise customers with custom pricing. 

On the other hand, SentiSum offers more transparent pricing starting at $3,000/month.

Which tool is better for customer feedback analysis?

SentiSum is best for fast, support-driven retention analysis. SentiSum works differently from most feedback applications; we do not utilize surveys. When customer service teams provide feedback via tickets, chats, or NPS comments, SentiSum ingests that unstructured feedback. 

Because SentiSum's AI tags and sentiment analyzes the feedback and provides a visual insight in a few minutes, support and customer experience teams can quickly respond to identify risks of churn and prioritize fixes.

Explore Real Success Stories

Explore Success Stories

Curious how leading consumer brands like Ticketmaster, Gousto, JustPark are turning Voice of Customer data into faster fixes and lower churn?

Talk to a Data Expert

30-min free product walkthrough to see how CX and retention teams are using SentiSum to lower churn
Written By
Stephen Christou
I lead marketing at SentiSum, drawing on more than 15 years’ experience at Cohesity, TIBCO, and HPE. My focus has always been on aligning sales and marketing to unlock growth. I am especially interested in how AI is changing customer experience and creating new ways for businesses to scale.