Gartner predicts that by 2025, 60% of organisations running a Voice of the Customer programme will go beyond surveys to analyse the voice and text interactions customers are already having. Read that again: the survey was always the smaller part of the picture. The bigger signal sits in calls, chats, and reviews that nobody designed a questionnaire for, and the platforms that matter in 2026 are the ones built to capture that signal and turn it into something a team can act on.
Most VoC programmes are not set up for that yet, and the reason is rarely the software. Forrester found that nearly half of companies rate the maturity of their VoC and CX measurement programme as low or very low, and the cause they name most is a lack of cross-department buy-in. One team collects the feedback, and that is where it stops. Operations never sees it, sales never hears it, and leadership gets a quarterly slide that changes nothing.
It is not for lack of investment. The global Voice of the Customer software market was worth roughly €2.46 billion in 2024 and is on track for about €2.83 billion in 2025. The money is being spent. The open question is whether it buys action across the business or just one more login the CX team checks alone.
So the right question for 2026 is not which tool gathers the most feedback. It is which one helps the whole organisation do something with it. Five things separate a platform that drives change from one that fills a dashboard:
- Does it act on feedback, or just display it? The whole point is movement. If insights land in a report and stall, the tool has solved the easy half and skipped the hard one.
- Does it tell you what to fix first? Beyond what customers said, it should rank which issues move your scores, your retention, and your revenue, so you know where to start on Monday.
- How fast does it surface a real answer? Some platforms need months of consulting before they tell you anything new. Others are showing you priorities within weeks.
- Can the whole organisation get in? Feedback locked inside one team's login changes nothing. Operations, sales, marketing, and store managers need access too, not just one team.
- Does it close the loop and connect to the business? Following up with customers rebuilds trust, and tying that follow-up to churn and revenue is what keeps the programme funded.
We weighed every platform below against those five criteria. Here are the 10 worth your time in 2026, ranked by how well they turn feedback into action.
Quick Comparison
| Platform | Best for | Unsolicited feedback capture | Turns insight into action |
|---|---|---|---|
| Hello Customer | Mid-market B2C that wants action over reports | Reviews, calls, tickets, social, into one taxonomy | Impact ranking, close the loop, alerts |
| Qualtrics XM | Enterprise XM across CX, EX, product, brand | Surveys plus connectors and digital feedback | Strong, via configured workflows |
| Medallia | Large-enterprise omnichannel signal capture | Voice, video, social, digital, IoT | Operational routing, action workflows |
| InMoment | Combined CX, text and reputation | Surveys, reviews, conversations | Case management, themes to action |
| Chattermill | AI-native analysis of feedback you already hold | Ingests existing channels, does not collect | Insight layer, lighter on workflow |
| CustomerGauge | B2B account-level NPS tied to revenue | Mostly solicited NPS plus CRM signals | Revenue-linked follow-up, close the loop |
| Alida | VoC plus an ongoing insight community | Surveys, communities, qual and quant | Research-led, less real-time action |
| GetFeedback | Website and in-app feedback (product split) | Web and in-app intercepts | Basic routing, depends on product line |
| Verint | Contact-centre-led VoC and speech analytics | Calls, chat, digital, surveys | Speech and text analytics, automation |
| Sprinklr | Unified VoC, social and contact centre | 35+ social and messaging channels, reviews | AI routing across one platform |
1. Hello Customer
Best for: Mid-market B2C organisations that want the voice of the customer captured from every source and turned into a ranked to-do list, not another dashboard.
Full disclosure: this is us, and we put ourselves at #1 on purpose. A Voice of the Customer programme lives or dies on two things: whether it hears the feedback customers give on their own terms, and whether anything happens after it does. We built the platform around both.
Capture the feedback you never asked for, in one taxonomy
The voice of the customer is loudest where you did not send a survey. A one-star Google review, a frustrated tweet, a recorded support call, a churn-risk note buried in a Zendesk ticket. We pull all of it in alongside your own NPS, CSAT, and CES, across email, website, SMS, WhatsApp, QR codes, in-app, and Google Reviews, and connect to the rest of your stack through 40+ integrations (Salesforce, Zendesk, Freshdesk, Intercom, Genesys, Slack, Teams, Snowflake). The point that matters for VoC: it all lands under one taxonomy, so a solicited NPS verbatim, an unsolicited review, and a call transcript describe the same topic the same way and can finally be counted together.
ISAAC turns unstructured voice into a ranked decision
Our AI engine, ISAAC, reads open text in 30+ languages and scores sentiment per topic, not per response. Unsolicited feedback is messy: a single review might praise the product, shrug at delivery, and rage about returns. ISAAC splits that into three topics with three sentiments, with no manual tagging and no pre-set categories, and the analysis is deterministic, so the same comment is classified the same way six months from now when you are defending a trend in a board meeting.
The feature customers name first is impact analysis. It plots every topic by sentiment and business impact, then tells you which fix moves your score the most: "improve returns, expect CSAT to rise 16 points." That is the sentence a VoC programme is supposed to produce and rarely does, and it is the difference between a quarterly read-out and a decision someone owns.
Ask ISAAC, no report building required
Ask ISAAC is our conversational assistant. Instead of building a report, you type "what are customers complaining about in our Google Reviews this quarter?" and get an answer pulled straight from your feedback, with the underlying verbatims cited so you can check the source.
Close the loop and benchmark the voice you cannot control
Close-the-loop workflows let teams assign follow-ups and reply to customers, including public Google Reviews, from inside the platform, and real-time alerts fire the moment a topic turns negative. Our CX benchmarking then compares your scores and topics against competitors using the same public review data, so you see how your delivery or pricing reads against the market, not just against last quarter.
The practical stuff
The whole organisation can log in, so feedback reaches everyone who could act on it. Onboarding takes weeks, and a new user is productive within a day. For European companies, we are ISO 27001 certified and fully GDPR-compliant, with EU-hosted data and customer data that is never used to train third-party models. Some of our customers who close the loop on both customer and management levels have reported a 2.3% drop in annual churn and an 11% increase in revenue.
Limitation: We are not built for Fortune 500-scale rollouts or pure market research (the 80-question academic survey). We are for organisations that want depth without the complexity.
See what that looks like on your own feedback: book a demo.
2. Qualtrics XM
Best for: Large enterprises that want a full experience management suite spanning CX, employee, product, and brand, with VoC as one pillar of many.
As a VoC platform, Qualtrics sets the ceiling for breadth. It was named a Leader in the 2026 Gartner Magic Quadrant for Voice of the Customer Platforms for the fifth year running, positioned highest for ability to execute, and Gartner ranked it first across all five use cases in the companion Critical Capabilities report. For VoC specifically that means it does more than collect surveys: Text iQ themes and scores open-ended responses, digital feedback and connectors pull in unsolicited signal, and the action layer (tickets, alerts, journey-based workflows) is genuinely deep once it is configured.
The 2026 wrinkle is consolidation. In May 2026 Qualtrics closed its 6.75 billion euro acquisition of Press Ganey Forsta, so it now owns both Forsta and InMoment, two other entries on this list. If you are weighing those three as independent VoC options, treat them as one corporate roadmap rather than three.
Where it strains is the gap between capability and use. The unsolicited-feedback and AI pieces are powerful, but reaching them means months of implementation, a dedicated administrator, and add-on modules that add up quickly. A mid-market team that mainly wants to know which topic to fix on Monday tends to use a fraction of what it offers.
3. Medallia
Best for: Large enterprises that want to capture the customer's voice from every conceivable channel, including the spoken and recorded kind.
On the capture half of VoC, Medallia is hard to beat. It pioneered enterprise experience management and ingests billions of signals a year: surveys, social, reviews, support interactions, plus genuine voice and video feedback and IoT events that most rivals do not touch. Its predictive AI surfaces sentiment, themes, and at-risk segments, and the operational layer routes each signal to a named team. If a customer says something about you anywhere, Medallia can usually hear it.
Two things to weigh for a 2026 VoC decision. First, this is enterprise scale by design, so deployments run for months. Second, in April 2026 Thoma Bravo transferred Medallia to its creditors in a debt restructuring of around three billion euros, which raises fair continuity questions any buyer should put directly to the vendor during evaluation. A recurring user critique is also worth knowing: the volume of captured signal can recreate the exact problem VoC is meant to solve, plenty of data and not enough priority, unless you invest in the analysis and action setup.
4. InMoment
Best for: Mid-to-large enterprises that want surveys, conversation analytics, and online reputation managed as one VoC programme.
InMoment earns its place on a VoC list through analysis. After absorbing Lexalytics and Wootric it built strong NLP and conversational intelligence, so it reads survey verbatims, reviews, and call and chat transcripts at scale and ties themes back to journeys and cases. It has real cross-industry depth in retail, hospitality, automotive, and financial services, and a credible UK and European footprint.
The honest caveat for 2026 is ownership. InMoment is now inside the Qualtrics group following Qualtrics' purchase of parent Press Ganey Forsta, and Forrester has told customers to expect limited standalone investment and a likely migration toward Qualtrics over time. The product is capable today, and as a VoC engine it covers solicited and unsolicited text well, but a multi-year commitment should price in the roadmap uncertainty rather than assume the platform continues as a standalone.
5. Chattermill
Best for: Digital-first consumer brands that want AI-native analysis of the unsolicited feedback they already hold.
Chattermill is a partial fit for the full VoC bar, and it is honest about which part it owns. It does not run your surveys or own the customer relationship. What it does, with a purpose-built deep-learning engine (Lyra AI), is unify the unstructured feedback already flowing through your stack (Zendesk and Intercom tickets, Trustpilot and app-store reviews, social, chat, and survey verbatims from tools like Qualtrics) into one set of themes and sentiment scores, and tie those themes to retention and revenue. For the analysis half of VoC it is genuinely strong, and London-based teams in subscription and e-commerce rate it highly.
Where it stops short of a full VoC platform is collection and action. It depends on other tools to gather the feedback, and its close-the-loop and workflow features are lighter than systems designed end to end. It is also not a Gartner VoC Leader, which reflects scope rather than analytical quality. Read it as a best-in-class insight layer, not a programme you run a whole VoC operation on.
6. CustomerGauge
Best for: B2B and account-based organisations that want the voice of the customer tied directly to account revenue.
CustomerGauge takes a narrower but sharper view of VoC than the broad suites. Its Account Experience model links NPS and feedback to revenue, churn, and upsell at the account level, and its Earned Growth and Monetised Net Promoter methodology lets you see which unhappy accounts carry the most money, then prioritise the follow-up accordingly. With CRM signals from Salesforce, HubSpot, NetSuite, Zendesk, and Dynamics feeding in, the close-the-loop story is genuinely revenue-aware, which most consumer-focused tools are not.
Against the full VoC bar it has two clear limits. The voice it captures is mostly solicited (relationship and transactional NPS) rather than the unsolicited review, social, and call signal a high-volume B2C programme lives on, and its text analytics, while competent, is not as deep as the NLP specialists. If your customers are individual consumers at scale (a retailer, bank, or telco), the account-hierarchy design is the wrong shape.
7. Alida
Best for: Brands that want VoC alongside an ongoing, owned insight community rather than only transactional measurement.
Alida (formerly Vision Critical) approaches VoC from the research side. Beyond transactional surveys it lets you build and run insight communities: standing panels of customers you can return to for co-creation, deeper questioning, and qualitative work, across both customer and employee experience. For organisations that treat VoC as a continuous conversation rather than a stream of post-interaction scores, that community layer is a real differentiator, and it pairs qual with quant in one place.
Two caveats matter here. The community model takes dedicated people to recruit and nurture, so it is more hands-on than an automated listening-and-action platform, and the real-time close-the-loop action that defines operational VoC is not its centre of gravity. It is also worth noting that Alida dropped out of Gartner's 2025 Voice of the Customer Magic Quadrant, a negative momentum signal in a category where the leaders are pulling ahead on AI.
8. GetFeedback
Best for: Teams that want in-the-moment website and in-app feedback, provided you understand which product you are buying.
GetFeedback (owned by SurveyMonkey) is best understood through the 2026 product split, because it changes what you can actually rely on. GetFeedback Direct, the Salesforce-native survey product, shuts down on 31 December 2026, with SurveyMonkey as the migration path. GetFeedback Digital, the website and in-app intercept product, survives: it has been renamed simply GetFeedback and relaunched with a new self-serve tier in 2026. So saying "GetFeedback is shutting down" is wrong; one line is closing and the other is the future of the brand.
As a VoC platform, even the surviving Digital product is narrow. It captures solicited, in-context feedback at the point of a web or app visit, which is useful, but it does not unify the unsolicited voice from reviews, calls, and social, and its analytics are thin next to platforms with dedicated AI engines. Treat it as a digital-feedback layer rather than a system that runs an omnichannel VoC programme, and confirm in writing which product any quote refers to.
9. Verint
Best for: Contact-centre-led enterprises whose loudest customer voice is the recorded call, not the survey.
Verint comes at VoC from the contact centre, and that is its real strength. Most platforms bolt speech onto a survey product; Verint's heritage is workforce engagement and interaction analytics, so analysing millions of call and chat transcripts alongside surveys is native rather than an add-on. Its speech and text analytics detect loyalty drivers and customer struggle in real time, including a digital listening engine that flags where users get stuck on a website. For an organisation where the phone is the primary touchpoint, that depth of unsolicited spoken-voice analysis is genuinely differentiated.
The trade-offs are scope and change. VoC is one module inside a large, complex suite, so it can be heavier and pricier than a focused VoC tool and takes real effort to stand up. And in November 2025 Thoma Bravo completed its acquisition of Verint for roughly 1.86 billion euros and is merging it with Calabrio, which brings integration and transition risk, with reported layoffs, that belongs in any near-term evaluation.
10. Sprinklr
Best for: Large enterprises that want unsolicited public voice, surveys, and the contact centre on one platform.
If the category lens is how well a platform captures the voice customers give without being asked, Sprinklr is one of the strongest on this list. It was named a Leader in the 2026 Gartner Magic Quadrant for Voice of the Customer Platforms, and its core is listening across 35-plus social, messaging, and digital channels, plus reviews and forums, at scale. Where it goes further than a pure social tool is unification: VoC sits inside one Unified CX platform alongside social management, conversational AI, and contact-centre operations, with an AI Customer Feedback Copilot routing what it finds. For a brand whose customers air everything publicly, that single view of owned and earned voice is a real strength.
The cost of that breadth is complexity. Sprinklr is a large enterprise platform with a steep learning curve, so buying it only for VoC means using a lot you will not need, and traditional survey-based collection is not where it is strongest. Note too that its self-serve tier is being discontinued (ending 30 April 2026), so the entry route is now firmly enterprise sales.
How to Choose the Right VoC Platform
A Voice of the Customer platform is judged on how much of the customer's actual voice it hears and what it does with the unstructured part. The right choice depends on where that breaks down for you today.
If you collect feedback but never act on it: that is the gap we built Hello Customer to close, with prioritisation and close-the-loop workflows at the centre rather than bolted on.
If you need enterprise research and methodology: Qualtrics XM has the deepest survey science and statistical toolset, with Forsta and InMoment now under the same roof.
If your priority is capturing signals from every possible channel: Medallia's breadth, including voice and video, is hard to match, with the continuity questions noted above.
If the call recording is your loudest channel: Verint's contact-centre speech analytics is built for that.
If your VoC is B2B and account-level: CustomerGauge's revenue-linked NPS is purpose-built for that.
If you already collect feedback and only need better analysis: Chattermill is a strong AI-native insight layer on top of your existing sources.
If social and public conversation is your main source: Sprinklr captures that at scale.
Four filters that genuinely matter for a VoC platform:
Channel coverage, especially the unsolicited kind. Any tool can run a survey. The question is whether it also ingests the feedback you did not ask for: reviews, social posts, support tickets, call transcripts. A VoC platform that only reads your own surveys is hearing the smaller half of the voice.
One taxonomy across every source. Capturing ten channels is pointless if each lands in its own silo. Check that solicited and unsolicited feedback are normalised into the same topic structure, so a Google review and an NPS verbatim about "delivery" are counted as the same theme rather than two separate ones.
Analysis depth and determinism on open text. Most VoC value is locked in unstructured text. Ask whether the engine scores sentiment per topic rather than one average per response, in your languages, and whether it classifies the same comment the same way over time. A model whose output drifts run to run cannot anchor a trend you report to the board.
Action and ownership, not just dashboards. The point of a VoC programme is movement. Look for impact ranking that tells you what to fix first, close-the-loop workflows that assign a follow-up to a person, and alerts that fire when a topic turns negative. Without that layer you have a listening tool, not a VoC programme.
The question to keep coming back to: will this platform help you act on what customers tell you, including the things they never put in a survey? Book a demo and we will show you your own feedback turned into priorities, live.
FAQ
What is a Voice of the Customer platform?
A Voice of the Customer (VoC) platform collects what customers say across every source, solicited and unsolicited, and turns it into decisions. That means your own surveys plus the feedback you did not ask for: reviews, social posts, support tickets, and call transcripts. The better platforms go past collection to rank which issues to fix first and track whether the changes you made actually moved the score.
Do I still need a VoC platform if I already run NPS?
NPS gives you one number; a VoC programme tells you why it moved and what to do about it. Running NPS alone leaves the open-text comments, reviews, and call feedback either unread or hand-tagged, which is where the reasons behind the score actually live. A VoC platform reads all of that at scale and connects each theme to its business impact, so the score becomes a starting point rather than the whole report.
How does a VoC platform capture feedback I never asked for?
Through connectors and ingestion rather than surveys. A VoC platform pulls in Google Reviews, app-store ratings, social mentions, support tickets, and call transcripts, then normalises them into the same topic taxonomy as your survey responses. The result is that an unsolicited one-star review and a solicited NPS verbatim about the same problem are counted together instead of sitting in separate tools.
How is a VoC platform different from social listening?
Social listening watches public channels: what people post about your brand on social media and forums. A VoC platform takes that public voice and combines it with private, first-party feedback (surveys, tickets, calls, reviews tied to real customers), then analyses it per topic and routes it to an owner to act on. Social listening tells you the conversation; VoC tells you which part of it to fix first.
What ROI can a VoC programme show?
The cleanest measures are reduced churn, higher revenue from existing customers, and fewer repeat tickets on issues you have fixed. The link runs through prioritisation: when each feedback theme is tied to its business impact, you can show that fixing a specific topic raised a score and retained accounts. Some of our customers who close the loop on both customer and management levels have reported a 2.3% drop in annual churn and an 11% increase in revenue.