What is VoC marketing?

Summary:

VoC marketing is the practice of using Voice of the Customer data, the words, complaints, praise, and preferences customers share about your brand, to shape positioning, messaging, campaigns, and customer advocacy. 

Instead of guessing which words will land with buyers, marketing teams pull directly from what customers already say in surveys, reviews, support tickets, and interviews.

This is a narrower discipline than running a full Voice of the Customer (VoC) program. If you need the foundational definition of VoC, why it matters across the business, and a step-by-step framework for building a program from scratch, read our complete guide to Voice of the Customer.

This article picks up where that guide leaves off and focuses on one question: once you have VoC data, how does a marketing team actually use it?

Marketing rarely owns the VoC program itself. Customer experience, product, and support teams usually run the surveys, own the feedback repository, and report the top-line metrics. What marketing needs is a reliable way to tap into that existing data and translate it into sharper campaigns, so this guide treats VoC data as an input your team can request and act on, not a program you need to build from the ground up.

Marketing teams sit on more customer language than almost any other function, yet most of it never makes it into a brief. VoC marketing closes that gap by feeding real customer words into the decisions that shape campaigns.

Here is where VoC data typically enters marketing workflows:

A useful habit is to route VoC themes into a shared marketing intake process, the same way you would route a request from sales or product. If a theme shows up in three or more feedback channels in a given month, it earns a spot on the next planning cycle's agenda.

Consider a software company that notices, across support tickets and post-purchase surveys, that customers keep describing the product as "finally simple" after switching from a competitor.

That single phrase can reshape a positioning statement, seed a comparison landing page, and become the headline for a customer story, all from one recurring piece of customer language.

You don't need to launch a new listening program to start using VoC data in marketing. Most organizations already generate more of it than marketing ever sees. Common sources worth requesting access to include:

If your organization already runs a structured VoC program, ask the team that owns it for a standing export of themes relevant to marketing, rather than waiting for an annual report. If no program exists yet, the Voice of the Customer guide linked above covers how to stand one up.

These two disciplines get confused constantly, but they answer different questions.

In practice, the two work best together.

VoC data tells you what customers are already saying. Market research, including message and claims testing, tells you how a new idea will perform before you commit budget to it.

A marketing team that only listens to existing customers risks missing whole segments it hasn't reached yet, which is exactly where structured research fills the gap.

Your customer experience team likely already owns metrics like Net Promoter Score (NPS®), customer satisfaction (CSAT), and Customer Effort Score (CES) as part of a broader VoC program. Marketing doesn't need to duplicate that ownership, but it does need a few numbers that show whether VoC-informed marketing is working.

Track these on a regular cadence:

None of these replace the acquisition or conversion metrics your team already tracks. They sit alongside them as a check on whether your messaging reflects what customers actually value.

Set a simple review cadence: pull these numbers monthly for active campaigns and quarterly for broader positioning work. A message that tests well but shows flat sentiment three months after launch is a signal to revisit the underlying theme, not just the wording.

Turning raw feedback into a headline or a script takes a few deliberate steps. Skipping straight from a spreadsheet of comments to a campaign brief is where most VoC marketing efforts break down.

A quick example: if VoC data shows customers consistently describe your onboarding as "surprisingly fast," that phrase is a stronger headline candidate than a generic claim your team wrote internally, because it's already proven to resonate in the customer's own words.

Most VoC marketing programs combine a few tool types rather than relying on one platform:

The right combination depends on team size.

A small marketing team might get by with a survey tool and a shared spreadsheet of tagged quotes. A larger team running multiple campaigns a quarter usually needs a dedicated message testing tool in the mix, since gut checks from a handful of internal reviewers don't scale to the volume of messaging decisions a growing marketing calendar requires.

SurveyMonkey supports several of these needs directly. Once you have candidate messaging pulled from customer feedback, start with a messaging and claims testing template to structure the questions correctly, then validate the strongest options with the message and claims testing solution from SurveyMonkey LaunchPad.

It lets you test taglines, positioning statements, and ad copy against your real target audience and see which version drives the strongest response, so your next campaign is grounded in evidence instead of a hunch.

VoC marketing works because it replaces internal guesswork with the words customers already use to describe your brand. The teams that do this well treat feedback as an input to the marketing calendar, not a report that sits unread after a quarterly review.

Start small: pull the three most common phrases from your last round of customer feedback, and test them as headline candidates for your next campaign.

If you need the fuller picture of how to build a structured VoC program that feeds this kind of work, our Voice of the Customer guide walks through the six-step build process and a 30-60-90 day launch plan.

NPS, Net Promoter & Net Promoter Score are registered trademarks of Satmetrix Systems, Inc., Bain & Company and Fred Reichheld.