Customer Verbatim: Definition, Examples and How to Use Them

A customer verbatim is a customer's exact words, unedited and unparaphrased. Not a rating. Not a summary written by someone else. The raw sentence, as it was written or spoken. It's also the most concrete data you have to improve your offer, win over hesitant prospects, and drive organic traffic. You just need to know how to collect, analyse, and display it in the right place.

Customer Verbatim: Definition and Usage

The word "verbatim" comes from Latin verbum, meaning "word." In marketing, customer experience, and market research, it refers to the exact transcription of a customer's words, without any rephrasing.

What a verbatim is not:

A rating (4.2 out of 5 on Google): quantitative, not qualitative.

A summary ("the customer appreciated the delivery"): rephrased by someone else.

A generic review ("Product as described"): no real voice behind it.

The verbatim is the only data point that tells you why. The others only tell you how much.

The 3 Types of Customer Verbatims (With Examples)

Spontaneous verbatims

Reviews left on their own initiative, without any solicitation: Google, Trustpilot, Tripadvisor, Yelp. They carry more weight with prospects precisely because they weren't prompted.

Example: "Ordered Thursday evening, received Friday morning. Customer service replied in 12 minutes when I had a question. I'll be back."

Solicited verbatims

Reviews requested by email, SMS, or WhatsApp after a purchase or service. More numerous but seen as slightly less neutral. Timing is critical: 48 to 72 hours after the transaction is the optimal window.

Example open question: "What surprised you most about your experience with us?"

Response: "That someone actually called back when they said they would. That's rare."

Qualitative verbatims (interviews, open surveys)

Collected during customer interviews, focus groups, or open-ended satisfaction survey questions. Richer content, but more costly to gather.

Example NPS open question: "Why did you give that score?"

Response: "Because the product does exactly what it says. No surprises, in the good way."

A spontaneous verbatim carries three times more weight than a five-star rating alone: it explains why, not just how much.

Why Verbatims Are More Powerful Than Your Ratings

A 4.6 average rating is reassuring. A quote like "my parcel arrived the next day, perfectly packaged" actually convinces. These are not the same thing.

Narrative social proof works through a different psychological mechanism: it lets the prospect picture themselves in the same situation. They're not reading a statistic, they recognise a scenario they could live through.

The SEO impact is consistently underestimated. A verbatim published on your site with AggregateRating or Review Schema.org markup becomes indexable UGC. Google reads it, understands it, and may display it as a rich snippet in search results, increasing your click-through rate without changing your position.

The conversion impact is measurable. Product pages that display structured verbatims see an average 39% higher review response rate. Customers who read real verbatims are more motivated to leave one themselves.

Multiply your customer verbatims

Collect verbatims across all platforms

Review Collect automatically centralises your Google, Trustpilot and Pages Jaunes reviews into a single dashboard.

• Multi-platform
• Automated
• Rich snippets included

Discover Review CollectBook a demo

×30 reviews collected in the first month

How to Collect Customer Verbatims at Scale

The quality of a verbatim depends largely on the channel and the timing of the request.

Optimal timing: 48 to 72 hours after the transaction for online orders. For services (installation, repair, consultation), immediately after completion. Satisfaction is at its peak.

The question that produces a useful verbatim: not "are you satisfied?" (binary answer), but "what convinced you most?" or "what would you tell someone who's hesitating?". These formulations produce citations you can actually use.

How to Analyse Your Verbatims (Without a Dedicated CX Team)

Analysing a verbatim means turning a quote into a decision.

For businesses with fewer than 100 reviews per month, manual categorisation is realistic. Three columns are enough: topic (delivery, customer service, product), sentiment (positive, neutral, negative), and potential action (nothing to do, needs improvement, worth communicating).

Beyond 100 verbatims per month, manual analysis becomes a bottleneck. AI-powered semantic analysis tools can categorise and prioritise automatically.

A full guide on this topic: How to Run a Semantic Analysis of Your Customer Reviews.

The 3 questions to ask about each verbatim:

1. Does this verbatim reveal something I can improve in my product or service?

2. Does this verbatim say something I can display to convince my next prospects?

3. Does this verbatim reveal an expectation I didn't know I was meeting?

To get the most from your verbatims, pair them with automated semantic analysis and connect the findings to your broader customer satisfaction strategy to turn every comment into a concrete improvement lever.

How Review Collect Centralises and Publishes Your Verbatims

Most brands have verbatims scattered across platforms: a few on Google, others on Trustpilot, more in their satisfaction tool. Result: no one reads them, no one uses them.

Review Collect automatically centralises all your verbatims from the main platforms (Google, Trustpilot, Pages Jaunes, Tripadvisor, Booking) into a single dashboard. From there, you can:

Respond to every review from one place, in the customer's language.

Display your verbatims on your website via a configurable widget.

Automatically generate Schema.org markup for Google rich snippets.

Brands using Review Collect multiply their review volume by 30 in 30 days on average. With more reviews comes more verbatims, more material to convince and to analyse.