Assembling copy from customer voice data instead of writing from scratch

Executive overview

Most copywriters stare at a blank page trying to invent compelling language. Your customers have already written it. Voice of customer (VOC) data — survey responses, reviews, interviews — contains the exact words, frustrations, and vivid moments your prospects recognise as their own.

The method: drop raw VOC quotes into a conversion framework (problem → agitation → solution), then edit down to only what fits the single problem you're solving in that piece.

Mapping VOC data to a conversion framework

• Choose a framework first — problem-agitation-solution (PAS) works because people buy solutions to problems
• Collect VOC data into a doc or library; it does not need to be large for a single email
• Read through quotes and sort them by framework stage: problem, agitation, solution
• Multiple customers saying the same thing signals a theme worth using
• Email lets you target one specific problem; a homepage must be universally true, so it can't

Keeping the message focused

• Pick one core problem per piece and exclude all VOC that relates to other problems
• A prospect reading about "tired of cooking" should never hit a detour into weight loss
• Every solution mention must tie back to the single problem you opened with
• Delete VOC that doesn't serve that thread, even if it's interesting

Building the rough draft

• Use direct VOC phrases as headlines: "I've just plain grown tired of the cooking game" becomes the email subject or headline
• Stack agitation with real examples: tired of frozen meals, cold deli sandwiches, microwave boxed meals
• Show failed solutions first (food services, boring sandwiches) before introducing the real one
• Transition is low-effort when the reader already knows the brand: "which is why you'll love Huel"
• End with a testimonial and a clear close — the framework handles structure so you don't have to

Adding the moment of highest tension

• Moment of highest tension: the specific lived scene that drove someone to seek a solution
• Moment of highest pleasure: the specific moment of delight they felt when the solution worked
• Surface-level copy ("tired of leftovers") tells; specific scene copy makes the reader see
• Test for specificity: read the copy aloud and ask what the listener visualised — generic imagery means the detail isn't in the copy yet
• Concrete example: "You peer into an open drawer and a half-sealed package of baloney looks back at you" beats "tired of packing lunches"
• When a reader later faces that exact moment in real life, the copy fires — that's the recall you want

Using VOC with good judgement

• Not all customer quotes are usable — some are too specific, too bland, or from the wrong audience segment
• Enterprise-targeted copy shouldn't mine VOC from non-enterprise customers
• Mine where your actual prospects are currently talking, not wherever data is easiest to find
• The goal is active listening, not transcription — curate ruthlessly before placing anything in the framework