KEY TAKEAWAYS:
Understand why the words you use to describe your products are almost never the words your customers use to find them.
Learn a five-step Customer Language Audit you can run in about an hour using feedback you already have sitting in your inbox.
Apply a ready-to-use AI prompt that pulls your customers’ actual vocabulary out of your reviews, emails, and DMs.
Identify the three situations where mirroring backfires, so you sound like a trusted advisor instead of a script.
Handbag or Pocketbook?
I grew up in Rhode Island, and nobody I knew carried a handbag. We carried pocketbooks. That was simply the word for it.
In the early years of Google, when I was teaching search engine optimization to clients and students, that word became one of my favorite examples. If you sell handbags in New York and want to be found by shoppers outside your own neighborhood, the word pocketbook belongs in your product description too. Not instead of handbag. Alongside it. Otherwise, a whole region of buyers types the only word they have ever used for the thing you sell and never lands on your page.
At the time I thought I was teaching keyword research. Looking back, I was teaching mirroring.
This week’s tip is about closing the gap between your words and your customers’ words. You don’t need new products, a different photographer, or a redesign. Instead, focus on reading what your customers have already communicated in their own words and incorporate their language into your messaging.
Where the Mirroring Technique Comes From
I learned about mirroring as a sales technique well before I associated it with those initial keyword lists. Whether on the sales floor or over the phone, you observe tone, pace, and word choice, then mirror these elements back to the customer. For example, someone speaking slowly and asking thoughtful questions isn’t looking to be sold to by someone speaking rapidly. Likewise, if they call it “sparkly”, they don’t want a detailed explanation of jewelry industry terminology.
Salespeople have done this for decades because it works. It signals that you were listening, and being listened to is rare enough that customers notice, especially today.
Here’s the tip: mirroring is not just a sales floor skill. It is a marketing strategy and a stronger way to connect with your audience. Your customers have handed you the raw material you need, and it just takes time to mine the information.
The Cost of Speaking Retailer Instead of Customer
Every industry develops shorthand, acronyms, and proper terminology. Yours did too, and it is genuinely useful when you are talking to a vendor or someone else in the industry; it signals that you understand and get where they are coming from. The problem, however, is that the jargon and terminology migrate into your customer-facing copy, filters, and navigation, and the same lingo that connects you with industry colleagues now keeps you from connecting with customers.
A customer says she wants a ring that is stunning, but slightly understated. Your site sells this ring, but it’s described as a pavé halo in a cathedral setting with milgrain detailing. Both descriptions are accurate. Only one of them is language a real person would type into a search bar or say out loud to a friend.
Baymard Institute’s usability testing found that 62% of eCommerce sites label their filters with terms shoppers do not understand, and that jargon-heavy filter options frequently go unused or get misread, which leads directly to abandonment. Their example is a good one: instead of labeling a filter “Season Rating”, REI labels it “Temperature”. Same data, but temperature is easier to connect with for all shopper types.
The reason this is important; customers don’t conclude that they lack the vocabulary. They assume you do not have what they want and leave.
“Your customers are already writing your copy for you. Most retailers file it under feedback instead of marketing.”
– Jennifer Shaheen
President and Founder, Technology Therapy® Group
AI Search Raised the Stakes
For years, the mismatch between industry terms and your customers’ words has impacted your business through your on-site search results and a bit of SEO. That is no longer the situation.
Shoppers are now describing what they want in full sentences. Google’s commerce team points out that a query has shifted from something like “best kids snacks” to a full question such as, “What nutritious options work for a seven-year-old’s birthday party?” PwC’s recap of ShopTalk 2026 makes the same observation from the retail side, noting that query length and keyword count have risen sharply and shoppers have become far more conversational and expressive about what they are looking for.
Conversational search rewards content that already sounds conversational. When a shopper asks an AI assistant for a gift for a mom who is always on the go with two kids but still likes to look put together, the matching systems look for pages that talk about exactly that woman. A product description built entirely on trade terminology that doesn’t address the customer’s purchasing needs or wants won’t give the AI anything to match against.
Your customers’ reviews, social media comments, and recorded phone calls are full of information and the language your ideal buyer uses. That’s what I’d call marketing gold.
Run a Customer Language Audit
Set aside about an hour each week to audit and organize how your customers share information.
1. Collect thirty pieces of raw customer language
Start with your three richest sources.
Reviews. Google, Facebook, and product reviews on your own site. They’re unedited and written when a customer is motivated.
Social comments and DMs. This is where you’ll find the language of hesitation, the questions people ask before buying that never show up in a five-star review.
Recorded phone calls. If your phone system records for training, you’re sitting on a transcript of a real sales conversation. Run a few through an AI transcription tool and read them instead of listening; seeing the words on the page makes the patterns clear.
Round it out with surveys, email replies, and your on-site search report. Copy everything exactly as written, typos included. Thirty is enough to see a pattern and few enough to finish today.
2. Sort what you collected into three buckets
What they call the product. “Everyday earrings.” “Something I won’t be scared to wear.”
What they call the problem. “I never know what’s appropriate.” “My last one turned my finger green.”
What they call the payoff. “It finally feels like me.” “It survived a whole summer of my kids.”
3. Build a two-column mirror list
Your term on the left, theirs on the right. “Sturdy” becomes “holds up to daily wear”. “Versatile” becomes “goes with everything I own”. Keep whatever came up more than once; the repeats are signals.
4. Rewrite products and plan out content
Make a plan to rework your product description by incorporating your customers’ language and reasons, and by moving technical details into a separate heading, such as Details. Plan new content for web pages and social posts based on these customer insights.
5. Write down your baseline
Note today’s number before you change anything, then check it again in thirty days. A change you can’t measure is a change you can’t repeat.
Let AI Do the Pattern Matching
Reading thirty reviews is manageable. Four hundred plus a stack of transcripts isn’t, and that’s where AI is a time saver and removes your human bias.
A starting prompt: (fill in the blanks for your business)
Context: We are a retail store specializing in _________. Our marketing describes our products using terms like _________.
Role: Act as an expert in ________ retail, customer language analysis, and copywriting.
Task: Below is a collection of unedited reviews, social comments, and call transcripts [paste them in]. Analyze the language, not the sentiment.
Objective: Identify the vocabulary my customers actually use so I can mirror it.
Explain:
- The 10 words or phrases that come up most often
- How their words for our products differ from ours
- How they describe the problem they solved and the result they got
- Five places in our marketing where their phrasing beats ours
Then do the part most people skip: check the output against the raw feedback. AI will happily generalize, so you want the phrases that were genuinely repeated. This pairs with the four-step bias check we covered recently.
Three Places Mirroring Goes Wrong
Mirroring emotion instead of vocabulary. A study in the Journal of Marketing Communications found that AI-written service responses read as competent in routine situations, but that their human-like language triggered negative reactions in emotionally charged ones. Reflecting feelings back at an upset customer reads as performance. Mirror how they name things, and let a person handle the feelings.
Mirroring the wrong customer. If the loudest voices in your reviews aren’t the customers you want more of, you’ll optimize toward the wrong audience. Check your sample against your best segments first.
Mirroring yourself out of a brand voice. A luxury retailer who uses casual phrases from her reviews begins to seem less like a luxury brand. Focus on adopting their nouns, rather than copying their entire tone.
“Mirroring means using their words to connect. It does not mean abandoning your voice.”
– Jennifer Shaheen
President and Founder, Technology Therapy® Group
Your Version of Pocketbook
Somewhere in your reviews, comments, inquiry forms, and call recordings is a word your customers reach for without thinking that has never appeared on your marketing. They weren’t being imprecise. They were handing you the copy.
All it takes is thirty pieces of their language, an hour, and the willingness to adjust and monitor the outcome.
Put Your Customers’ Words to Work
Consider a Technology Therapy Group audit where we can show you how your language stacks up against the way your customers actually talk, and where to start.
