Ask what voice-of-customer software is and you get a definition about listening to customers. Ask who is buying it and the answer splits in two. At large companies it is an enterprise feedback program run by customer-experience teams, and the complaint is not collecting feedback but making sense of it. At small direct-to-consumer brands it is a one-question survey after checkout, run by marketing, mostly to find out where customers came from.
What is voice-of-customer software?
Voice-of-customer (VoC) software helps companies collect, organize and analyze customer feedback from sources such as surveys, reviews, support conversations and call recordings. Enterprise VoC platforms such as Qualtrics and Medallia are designed to help teams identify trends, route issues and act on what customers say, with NPS, CSAT, dashboards and text analytics — although buyers in these interviews often describe the analysis and action-taking steps as the hardest parts.
Narrower tools cover parts of the job: general survey tools such as SurveyMonkey and Typeform, and ecommerce post-purchase surveys such as KnoCommerce, Fairing and Zigpoll.
What the interviews add is that those are not points on one scale:
In these interviews, software for collecting customer feedback falls into two distinct purchasing patterns. Enterprise VoC platforms are bought by customer-experience and insights teams to collect, analyze and act on feedback across customer touchpoints, and the reason they shop is analysis, increasingly with AI. Lightweight post-purchase surveys are bought by marketing and growth teams, often to understand how shoppers discovered the brand. Both collect customers' own answers, but they solve different business problems and are not interchangeable.
The two rarely meet: enterprise platforms sit mostly at companies over a billion dollars in revenue, and post-purchase surveys mostly at companies under fifty million.
What is the difference between VoC software, survey tools and post-purchase surveys?
A survey tool sends questionnaires; VoC software runs a program around them; a post-purchase survey asks one or two questions at checkout. The difference is less about features than about the job each is bought to do, and buyers in these interviews keep the three apart in practice.
Voice-of-customer software brings feedback from many touchpoints into one place, analyzes it — including the open-text answers — routes issues to the people who can fix them, and tracks scores such as NPS over time. The value buyers describe is in the program and the analysis, not in the survey itself.
When buyers move from survey tools to a VoC platform, the reason they give is to consolidate scattered feedback and analyze it, not to send more surveys.
The evidence for the split is in who uses what. Companies over a billion dollars in revenue make up about four in five of the interviewed companies running Qualtrics or Medallia, against about two in five of all companies interviewed. Companies under fifty million make up about three in four of those running KnoCommerce, Fairing or Zigpoll, against about one in five of all companies interviewed. General survey tools sit across every size.
Enterprise VoC platform
A feedback program across many touchpoints — stays, purchases, the website, the contact center — with dashboards, text analytics and closed-loop alerts. Bought mostly by customer-experience and insights teams at large companies.
Survey tool
A questionnaire builder for one-off or recurring surveys. Used by companies of every size, often alongside other feedback sources rather than as the program itself.
Post-purchase survey
A question or two after checkout, most often asking how the customer heard about the brand. Bought mostly by marketing and growth teams at small direct-to-consumer brands.
Who buys voice-of-customer software?
Voice-of-customer software stands apart from the rest of the stack in who buys it. About one in three buyers shopping for VoC or feedback software holds a customer-experience, insights or research title — against about one in thirty across all interviews, and under one in ten in every neighbouring category we measured, from CRM and loyalty to customer data platforms and attribution.
The split by job is sharper still. Among buyers shopping for an enterprise VoC platform, most sit in customer-experience roles and most work at companies over a billion dollars in revenue; none works at one under fifty million. Among buyers running a post-purchase survey, most work at brands under fifty million, and none holds a customer-experience title: these are marketing, ecommerce and growth leads.
That matters for the definition. The same three letters describe a program a customer-experience team owns across a large business, and a marketing instrument a small brand uses to read its own acquisition. A buyer who reads a guide written for the other one will shortlist the wrong kind of tool.
Why do companies shop for VoC software?
For enterprise buyers, the reason is analysis, not collection. Five reasons appear in the interviews with buyers shopping for a VoC platform, in this order:
- Turn open-text feedback into insight, increasingly with AI
- Consolidate scattered feedback sources and survey tools
- Add contact-center feedback
- Get feedback to the people who can act on it
- Replace a homegrown or manual setup
Simply sending more surveys is not among the five leading reasons. Buyers are more focused on analyzing the feedback they already collect, bringing scattered sources together and getting the findings to teams that can act.
Turn feedback into insight
The leading reason by a distance. Buyers describe platforms that gather feedback well and leave the analysis to them, and several say their current platform is behind on AI. What they want is open-text analysis they can trust and, increasingly, the ability to ask their feedback a question and get an answer.
A global customer-experience head describes a previous setup this way: “It was only feedback collection, and then everything was based on our capabilities to analyze.” An insurer calls its platform “just an expensive survey creation tool.”
Consolidate scattered feedback
Some want to bring surveys, reviews, support tickets and social comments into one view; others want to fold surveys into a platform they already own.
The pattern runs both ways: some companies consolidate onto an enterprise platform, others drop a separate survey tool for features inside software they already pay for.
Add contact-center feedback
Calls, chats and agent quality, increasingly analyzed from transcripts rather than surveys. Some buyers see this as a way around survey fatigue: the feedback is already in the conversation.
One company moved off its enterprise platform to an AI-native tool that analyzes every customer interaction, after finding that its survey data was very hard to quantify.
Get feedback to the people who act on it
Closing the loop: routing a complaint to a store, a case to an agent, a theme to a product team. Buyers describe dashboards nobody opens as the failure this is meant to fix.
A voice-of-customer analyst at a large B2B company puts the limit plainly: “So dashboards and reports only get so far.”
Replace a homegrown or manual setup
Spreadsheets, form builders and in-house tools that worked until the volume or the number of teams grew.
Cost and complexity of the incumbent come up less often than any of these, and contract end or forced migration only rarely.
The order is the point. Enterprise buyers are not short of feedback; they are short of time to read it and ways to act on it. A customer-experience strategy head at a large technology company puts it bluntly: “it seems we often do surveys for the sake of doing surveys.” Post-purchase buyers say almost the opposite: one says “I'm getting value out of the answers to their surveys. I'm not getting value out of their tool” — the answers are the point, and the tool is a commodity.
Which voice-of-customer tools do buyers use, and how do they rate them?
Qualtrics and Medallia are the enterprise platforms buyers name most, and they rate close together; SurveyMonkey and the post-purchase tools KnoCommerce and Fairing rate a little higher, for narrower jobs. These are overall product ratings, and buyers use some of these products for more than customer feedback.
| Tool | Rating | What it means here |
|---|---|---|
| SurveyMonkey | 8.0 | A general survey tool used at every size of company, often alongside other feedback sources. Buyers describe it as the simpler option next to an enterprise platform. |
| KnoCommerce | around 8 | Too few buyers for a decimal. A post-purchase survey used mostly by small direct-to-consumer brands for attribution. |
| Fairing | around 8 | Too few buyers for a decimal. The same job as KnoCommerce: asking customers how they heard about the brand. |
| Qualtrics | 7.5 | The most-rated feedback platform in these interviews, used for customer, market and employee research. Cost is its most common complaint. |
| Medallia | 7.3 | An enterprise platform praised for capturing feedback across transactions, digital channels and the contact center; buyers split on its analytics and AI. |
| Typeform | around 7 | Too few buyers for a decimal. A form and survey builder, used for lighter-weight feedback. |
| Zigpoll | not rated | A post-purchase survey named by several brands; too few buyers rated it to publish a number. |
| Chattermill | not rated | A feedback-analysis tool some large companies use for customer feedback; too few ratings to publish a number. |
The ratings sit closer together than the tools do. Qualtrics and Medallia are the two buyers treat as each other's real rival — what each is praised and criticized for is on Medallia vs. Qualtrics. The post-purchase tools rate well and are described as interchangeable, which is why some brands move the survey into software they already run: one moved it into its attribution platform, others run it inside a reviews or pop-up tool.
Enterprise feedback and analysis
Qualtrics · Medallia · Chattermill · SMG · Press Ganey · Verint
Survey and post-purchase tools
SurveyMonkey · Typeform · KnoCommerce · Fairing · Zigpoll · Google and Microsoft Forms
What does VoC software cost, and how do buyers measure it?
The two kinds of tool sit at opposite ends of the price range, and buyers measure them differently. No prices are published here.
Enterprise platforms are described as expensive, and the complaint is specific: buyers pay for analytics, dashboards and AI they say do not deliver, and some would rather pay only for collecting feedback and analyze it elsewhere. Some also pay outside agencies or consultancies to run the program or read the results. Post-purchase survey tools are described as cheap and close to a commodity — “This is definitely a commoditized tool,” says one direct-to-consumer brand — though price rises still prompt brands to look around.
Measurement follows the same split. Enterprise buyers track scores such as NPS and CSAT over time, and some say the movement matters more than the number; tying feedback to revenue is something they want rather than something they describe doing. Post-purchase buyers measure the survey by what it tells them about acquisition, as a check on click-based attribution: “often what you hear from your customers and what you see in your attribution reports can be a little bit different,” as one ecommerce lead puts it.
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Work out which of the two jobs you have before you shortlist. A large company with feedback arriving from many touchpoints and a team that owns acting on it is the buyer enterprise platforms are built for. A small brand that mainly wants to know how customers found it needs a post-purchase survey, not an enterprise program.
Three things follow from the interviews; the recommendations are ours, not practices buyers describe. First, for an enterprise platform, test the analysis rather than the collection: bring your own open-text feedback to the evaluation and see what the platform can tell you from it, since analysis is where buyers say their current platforms fall short. Second, decide who acts on the feedback before you buy — dashboards nobody owns are the failure buyers describe most. Third, check what you already run: several companies in these interviews collect feedback without a dedicated tool, through form builders, their reviews or email platform, or the CSAT built into their helpdesk, and some post-purchase surveys now live inside attribution and reviews software.
For the two enterprise platforms side by side, see Medallia vs. Qualtrics. For the customer data post-purchase surveys collect, see what is zero-party data; for the attribution problem they are used to check, what is marketing attribution.
Common questions
What is voice-of-customer (VoC) software?
Voice-of-customer software helps companies collect, organize and analyze customer feedback from sources such as surveys, reviews, support conversations and call recordings. Enterprise platforms such as Qualtrics and Medallia are designed to help teams identify trends, route issues and act on what customers say, with NPS, CSAT, dashboards and text analytics, although buyers often describe analysis and action as the hardest parts. Simpler survey tools and ecommerce post-purchase surveys cover narrower jobs.
What is the difference between VoC software and a survey tool?
A survey tool builds and sends questionnaires. Voice-of-customer software runs a program around them: collecting feedback from many touchpoints and channels, analyzing open-text answers, routing issues to the people who can fix them, and tracking scores such as NPS over time. Buyers in these interviews who replace survey tools with a VoC platform are usually trying to consolidate scattered feedback and analyze it, not to send more surveys.
Who buys voice-of-customer software?
Enterprise VoC platforms are bought mostly by customer-experience, insights and research teams at large companies. About one in three buyers shopping for VoC or feedback software in these interviews holds a customer-experience, insights or research title, against about one in thirty across all interviews and under one in ten in every neighbouring category measured. Post-purchase survey tools are a different purchase, made mostly by marketing and growth teams at small direct-to-consumer brands.
What are post-purchase surveys used for?
Mostly attribution. Ecommerce brands use tools such as KnoCommerce, Fairing and Zigpoll to ask customers how they heard about the brand, and use the answers as a check on click-based attribution, picking up word of mouth, podcasts, TV and radio and AI assistants that tracking misses. They also use them for zero-party data, product feedback and NPS.
Why do companies replace their VoC platform?
The most common reason in these interviews is analysis rather than collection: buyers say their platform collects feedback well but leaves them to make sense of it, and several describe it as behind on AI. Other reasons are consolidating scattered survey tools, adding contact-center feedback, getting feedback to the people who can act on it, and replacing a homegrown setup. Cost and complexity come up less often.
How much does voice-of-customer software cost?
No price is published here, and the two kinds of tool sit far apart. Enterprise VoC platforms are described as expensive, and some buyers say they pay for analytics and dashboards that do not deliver. Post-purchase survey tools are described as inexpensive and close to a commodity, though price rises still prompt buyers to look at alternatives.
Do you need dedicated VoC software?
Not always. Several companies in these interviews run feedback without one, using form builders, their reviews or email platform, the CSAT built into their helpdesk, or an in-house tool. A dedicated platform tends to earn its cost where feedback comes from many touchpoints and someone owns acting on it. A small brand that mainly wants to know how customers found it needs a post-purchase survey, not an enterprise program.
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