Message test · Mention-me

12 of 15 buyers would take a meeting to learn more.

https://www.mention-me.com/15 AI-simulated buyers

Your message lands: they know what it is, who it's for, why it's worth their time, and why to pick you.

Simulated responsesNo humans answered these questions. Every quote below was written by an AI model role-playing a buyer profile.
Saved report, kept for 60 days — expires in 60 days. Re-opening it is free.
01

Your verdict

  • Clarity

    Do they understand what you do?

    Strong15 of 15

    15 could name what kind of product this is, unprompted.

  • Relevance

    Can they tell what it solves, and who it's for?

    Strong15 of 15

    15 could quickly tell what problem it solves and who it is for.

  • Value

    Fix first

    Do they actually want it?

    Strong12 of 15

    12 would take a meeting to learn more.

  • Differentiation

    Is there a reason to pick you over the alternatives?

    Strong13 of 15

    13 could name a reason to pick you over a similar option.

See what they thought you were

Your page describes: referral marketing. They said:

  • 14×Referral marketing softwarematches

1 couldn't name one; 14 got it right.

Four separate measures, not stages: all 15 personas answered all four questions. Each square is one persona.

Additional signalBrand alignment12 of 14StrongShow finding ▸

Four respondents said the tone targets day-to-day or junior operators rather than budget holders, finance, or senior decision-makers, and one noted case studies cite mixed job titles with no stated target function. Not one of the four layers, and it does not affect the scores above or the order to fix them in.

These are 15 simulated buyers. Want 15 real ones?

Test with humans
02

Fix these first

Fix these first

Three edits, in the order that matters.

The first is on your weakest layer, the second on the next, the third on the layer the most buyers had a problem with. Each says what to change on the page and why, with one simulated answer behind it.

  1. Add a methodology note under the £4bn/58m/45,000 stat band explaining how figures are calculated.

    Why: The headline numbers carry no source, period or definition, so they read as selected to flatter. State what counts as referral-driven revenue, over what period, and across how many clients.

    3 of 15 raised this

    “the case studies don't say how long Charlotte Tilbury or Symprove had been running the programme before hitting those numbers - if a competitor showed me a similar…” Show full quote
    “the case studies don't say how long Charlotte Tilbury or Symprove had been running the programme before hitting those numbers - if a competitor showed me a similar uplift with a clearer timeline, that's the detail that would make me switch”
    Senior Marketing Director, Beauty and Personal Care · 501-1000 employeessimulated
    Moves Value
    Proof next to the claim
  2. Add two or three sentences under 'Earned Referral' explaining how dark social sharing is detected.

    Why: 'We prove it's not' asserts the differentiator without saying how, leaving readers to take tracking on faith. Describe the detection method in plain terms, for example asking new customers at checkout who referred them and matching that name to an existing…

    3 of 15 raised this

    “I'd need to see the mechanism behind that 34%-of-referrals-missing number before I buy the pitch.”
    Director of Ecommerce, Consumer Goods · 5000+ employeessimulated
    Moves Differentiation
    Tie the feature to the outcome
  3. Add a non-fashion, repeat-purchase case study to the top of the case study carousel.

    Why: Every prominent story is fashion, beauty or supplements, so a food and drink or household goods buyer cannot tell whether the mechanics hold at lower order values. Lead with a repeat-purchase brand and state its average order value and repeat rate.

    5 of 15 raised this

    “One named F&B, grocery, or any lower-AOV high-frequency repeat-purchase logo with a real number attached — even one case study like 'drinks brand X saw Y% lift' would…” Show full quote
    “One named F&B, grocery, or any lower-AOV high-frequency repeat-purchase logo with a real number attached — even one case study like 'drinks brand X saw Y% lift' would do it, because right now every proof point is fashion/beauty/travel”
    Senior Ecommerce Director, Food and Beverage · 1001-5000 employeessimulated
    Moves Relevance
    Name the audience

Keep these · 1

These landed. Keep the wording when you edit around it.

  1. Keep · Relevance

    The hero line and problem statement land immediately

    “the problem statement is explicit: you're "only seeing half your referrals" because dark social and offline word-of-mouth get miscounted as Direct traffic”
    Director of Ecommerce, Consumer Goods · 5000+ employeessimulated
03

All recommendations

Value

Strong12 of 15
Moves ValueAnswer the live objection

Add a pilot offer line under 'Book a Demo' stating the test, data used and duration.

Why: Buyers want to see Earned Referral run on their own traffic before trusting attribution claims, and the page offers only a demo. Say what a trial looks like, for example a four-week measurement pilot on your existing Direct traffic.

3 of 15 raised this

“the case studies don't say how long Charlotte Tilbury or Symprove had been running the programme before hitting those numbers - if a competitor showed me a similar…” Show full quote
“the case studies don't say how long Charlotte Tilbury or Symprove had been running the programme before hitting those numbers - if a competitor showed me a similar uplift with a clearer timeline, that's the detail that would make me switch”
Senior Marketing Director, Beauty and Personal Care · 501-1000 employeessimulated
Moves ValueProof next to the claim

Add timeframe and measurement window beside each case study stat.

Why: Figures like '+90% ROAS' and '200% more revenue' float with no period attached, so a buyer cannot tell if that is month one or year two. Write the window into the stat line, for example the result over six months post-launch.

3 of 15 raised this

“the case studies don't say how long Charlotte Tilbury or Symprove had been running the programme before hitting those numbers - if a competitor showed me a similar…” Show full quote
“the case studies don't say how long Charlotte Tilbury or Symprove had been running the programme before hitting those numbers - if a competitor showed me a similar uplift with a clearer timeline, that's the detail that would make me switch”
Senior Marketing Director, Beauty and Personal Care · 501-1000 employeessimulated

Differentiation

Strong13 of 15
Moves DifferentiationProof next to the claim

Add a validation line under the '1 in 6 product page visits' claim naming its source.

Why: The dark social number appears with no study, sample or date behind it, and it carries the whole differentiation argument. Name the dataset and period it came from, for example visits across client brands in a stated year.

3 of 15 raised this

“I'd need to see the mechanism behind that 34%-of-referrals-missing number before I buy the pitch.”
Director of Ecommerce, Consumer Goods · 5000+ employeessimulated

Clarity

Strong15 of 15
Moves ClarityLead with the use case

Name the product category in the H1 or the line directly beneath it.

Why: The opening line never says referral marketing software, so readers assemble the category from badges and logos. Put the category into the headline area in plain words.

3 of 15 raised this

“the opening badge clutter ("G2 LEADER★★★★★EMEA Referral Software · 500+ brands") is dense and makes you skim past it rather than read it properly”
Senior Marketing Director, Beauty and Personal Care · 501-1000 employeessimulated
Additional signal

Brand alignment

Strong12 of 14
Moves Brand alignmentName the audience

Rewrite the hero subhead to speak to revenue owners, not programme operators.

Why: 'Find them, measure their revenue and scale their advocacy' reads as instructions to the person running the programme, not the director or VP signing the contract. Lead with the budget question instead, such as proving how much revenue word-of-mouth already…

4 of 15 raised this

“phrases like "make the case for more budget" and the quotes all coming from "Digital Marketing Executive" or "Retention Specialist" titles suggest they're pitching the person who'd run…” Show full quote
“phrases like "make the case for more budget" and the quotes all coming from "Digital Marketing Executive" or "Retention Specialist" titles suggest they're pitching the person who'd run the programme day-to-day and then hand the business case upward to someone like me; it reads competent and specific (NameShare's concrete mechanic, the eLTV framing) but it's not quite speaking my language on risk, proof, or compliance”
Marketing Director, Food and Beverage · 1001-5000 employeessimulated
Moves Brand alignmentAnswer the live objection

Replace 'EMEA Referral Software' badge wording with coverage that includes US operations.

Why: The EMEA label plus UK brand names suggests a regional vendor, raising doubts for anyone with US stakeholders. State the regions served and where support sits.

4 of 15 raised this

“phrases like "make the case for more budget" and the quotes all coming from "Digital Marketing Executive" or "Retention Specialist" titles suggest they're pitching the person who'd run…” Show full quote
“phrases like "make the case for more budget" and the quotes all coming from "Digital Marketing Executive" or "Retention Specialist" titles suggest they're pitching the person who'd run the programme day-to-day and then hand the business case upward to someone like me; it reads competent and specific (NameShare's concrete mechanic, the eLTV framing) but it's not quite speaking my language on risk, proof, or compliance”
Marketing Director, Food and Beverage · 1001-5000 employeessimulated
04

Buyer evidence

Biggest risks

A deliberately adversarial read of the same answers. Each claim was checked back against what the personas said and dropped if nothing supported it.

  • high

    The page's single strongest asset, the hero problem statement, is immediately undercut by everything that follows it.

    Five respondents found the untracked-referral-revenue framing sharp and fast, yet five more said the case studies do not transfer, three called the statistics cherry-picked, and three doubted the NameShare mechanism. Attention is won and then lost.

  • high

    The proof architecture collapses under its own weight: no methodology, no timelines, no mechanism, no category range.

    Three respondents said figures lack methodology and sourcing, three said NameShare attribution is described only as 'we track it', and five said every case study is fashion or beauty. Four separate evidence gaps compound rather than offset.

  • high

    The page cannot close a deal because it never addresses the person who signs it.

    Four respondents said the tone targets day-to-day or junior operators rather than budget holders or finance, and three said they would need a pilot or live demo before trusting the claims. The page produces evaluators, not buyers.

  • high

    Buyers outside fashion and beauty are being asked to do the vendor's homework.

    Five respondents flagged that every case study is fashion or beauty and questioned whether the mechanics work for lower-AOV repeat-purchase F&B, with one asking for 201-500 employee data. The page offers no bridge.

  • high

    The differentiator is the weakest-evidenced claim on the page, which inverts the entire argument.

    Three respondents said NameShare is credible only if validated and that revenue impact hinges on unproven attribution, while three others said statistics carry no methodology. The one thing that must be believed is the one thing unsupported.

  • medium

    Clarity is being purchased with effort the reader should not have to spend.

    Three respondents said category identification required piecing together multiple clues, badge clutter drove skimming, and generic headers like 'capture' and 'optimise' needed decoding. Competitors were named only by one respondent.

Value

  • Statistics read as cherry-picked because they carry no methodology or timeline

    3 of 15

    “the case studies don't say how long Charlotte Tilbury or Symprove had been running the programme before hitting those numbers - if a competitor showed me a similar…” Show full quote
    “the case studies don't say how long Charlotte Tilbury or Symprove had been running the programme before hitting those numbers - if a competitor showed me a similar uplift with a clearer timeline, that's the detail that would make me switch”
    Senior Marketing Director, Beauty and Personal Care · 501-1000 employeessimulated
    See all 2 comments
    “every number on this page (34% of referrals missed, 25% more spend, £4bn+ driven) is unsourced and aggregated across "500+ brands," not segmented by my category or AOV”
    Director of Marketing, Food and Beverage · 1001-5000 employeessimulated
  • Proof is treated as unfinished: respondents want a pilot or demo before committing

    3 of 15

    “I'd need a pilot on our own data showing incremental, not just attributed, lift before I'd trust it, since F&B margins and basket sizes are different from Gymshark…” Show full quote
    “I'd need a pilot on our own data showing incremental, not just attributed, lift before I'd trust it, since F&B margins and basket sizes are different from Gymshark or Puma”
    Senior Ecommerce Director, Food and Beverage · 1001-5000 employeessimulated
    See all 3 comments
    “A live demo of Earned Referral actually attributing a piece of dark-social/offline word-of-mouth to revenue on a brand our size — not the 34% stat repeated, but me…” Show full quote
    “A live demo of Earned Referral actually attributing a piece of dark-social/offline word-of-mouth to revenue on a brand our size — not the 34% stat repeated, but me watching it happen on their dashboard with real data, because that's the only thing that converts this from a nice claim into something I'd put in a business case.”
    Marketing Director, Fashion and Apparel · 201-500 employeessimulated
    “the meeting would need to open with proof of light implementation ("1-3 days", "runs itself") and a clear answer on incrementality”
    Senior Marketing Director, Beauty and Personal Care · 501-1000 employeessimulated

Differentiation

  • The NameShare differentiator is believed only conditionally, because the mechanism is…

    3 of 15

    “I'd need to see the mechanism behind that 34%-of-referrals-missing number before I buy the pitch.”
    Director of Ecommerce, Consumer Goods · 5000+ employeessimulated
    See all 5 comments
    “If NameShare and Earned Referral genuinely surface the "1 in 6 product page visits" that's currently bucketed as Direct, that's real incremental revenue”
    Director of Ecommerce, Consumer Goods · 5000+ employeessimulated
    “"That's 34% of referrals your current platform is missing" is a specific, falsifiable claim, and if a competitor on my shortlist can't say anything beyond "we also do…” Show full quote
    “"That's 34% of referrals your current platform is missing" is a specific, falsifiable claim, and if a competitor on my shortlist can't say anything beyond "we also do referral tracking," this page at least gives me a concrete gap to interrogate”
    Director of Ecommerce, Consumer Goods · 5000+ employeessimulated
    “"We track it" names no mechanism: is it a code word matched manually, a CRM flag, a post-purchase survey attribution?”
    Ecommerce Director, Consumer Goods · 5000+ employeessimulated
    “What would rule it out, or at least stall it, is the benchmarking claim — "know exactly whether you're leading or lagging" sounds great but there's zero detail…” Show full quote
    “What would rule it out, or at least stall it, is the benchmarking claim — "know exactly whether you're leading or lagging" sounds great but there's zero detail on methodology or sample size for fashion specifically”
    Senior Ecommerce Director, Fashion and Apparel · 201-500 employeessimulated

Clarity

  • The category is identifiable but only after piecing together clues

    3 of 15

    “the opening badge clutter ("G2 LEADER★★★★★EMEA Referral Software · 500+ brands") is dense and makes you skim past it rather than read it properly”
    Senior Marketing Director, Beauty and Personal Care · 501-1000 employeessimulated
    See all 4 comments
    “I'd call it referral marketing software, same bucket as Talkable or Friendbuy, not something new.”
    Marketing Director, Food and Beverage · 1001-5000 employeessimulated
    “the category mix of words like "capture," "optimise," "see," "know," "understand," "scale" as section headers reads like marketing fluff layered over the actual product names — I had…” Show full quote
    “the category mix of words like "capture," "optimise," "see," "know," "understand," "scale" as section headers reads like marketing fluff layered over the actual product names — I had to ignore the verbs and go straight to the feature names (NameShare, eLTV, Benchmarking) to know what I was actually buying.”
    Marketing Director, Food and Beverage · 1001-5000 employeessimulated
    “the page never says the category name plainly, like "referral marketing software," until you've already pieced it together from the demo CTA, the stats, and words like "advocacy"…” Show full quote
    “the page never says the category name plainly, like "referral marketing software," until you've already pieced it together from the demo CTA, the stats, and words like "advocacy" and "referral" scattered across headers”
    Director of Marketing, Fashion and Apparel · 201-500 employeessimulated

Relevance

  • Fashion and beauty case studies do not transfer to other categories

    5 of 15

    “One named F&B, grocery, or any lower-AOV high-frequency repeat-purchase logo with a real number attached — even one case study like 'drinks brand X saw Y% lift' would…” Show full quote
    “One named F&B, grocery, or any lower-AOV high-frequency repeat-purchase logo with a real number attached — even one case study like 'drinks brand X saw Y% lift' would do it, because right now every proof point is fashion/beauty/travel”
    Senior Ecommerce Director, Food and Beverage · 1001-5000 employeessimulated
    See all 3 comments
    “I'd need a named consumer goods brand our size, with before/after attribution numbers for offline referral specifically”
    Ecommerce Director, Consumer Goods · 5000+ employeessimulated
    “The tone is written for a marketing or growth lead, not really a "Director" title — it's punchy, stat-heavy, slightly performance-marketing-bro in places ("just say my name at…” Show full quote
    “The tone is written for a marketing or growth lead, not really a "Director" title — it's punchy, stat-heavy, slightly performance-marketing-bro in places ("just say my name at checkout"), which reads fine but doesn't feel tailored to F&B or someone thinking in category/boardroom terms”
    Senior Ecommerce Director, Food and Beverage · 1001-5000 employeessimulated
  • The hero line and problem statement land immediately

    5 of 15 · what worked

    “the problem statement is explicit: you're "only seeing half your referrals" because dark social and offline word-of-mouth get miscounted as Direct traffic”
    Director of Ecommerce, Consumer Goods · 5000+ employeessimulated
    See all 4 comments
    “the "dark social"/"Earned Referral" section even names the specific pain (1 in 6 product page visits mis-attributed to 'Direct' traffic)”
    Ecommerce Director, Consumer Goods · 5000+ employeessimulated
    “you're losing visibility and revenue on referrals you can't currently track”
    Director of Ecommerce, Beauty and Personal Care · 501-1000 employeessimulated
    “The hero line "Your best customers don't just buy. They bring others and grow your revenue" plus "1 in 6 product page visits comes from dark social word-of-mouth…” Show full quote
    “The hero line "Your best customers don't just buy. They bring others and grow your revenue" plus "1 in 6 product page visits comes from dark social word-of-mouth that you can't scale or measure because your analytics calls it 'Direct' traffic" told me the problem immediately”
    Marketing Director, Food and Beverage · 1001-5000 employeessimulated

Brand alignment

  • The page speaks to programme operators, not the people who approve budget

    4 of 15

    “phrases like "make the case for more budget" and the quotes all coming from "Digital Marketing Executive" or "Retention Specialist" titles suggest they're pitching the person who'd run…” Show full quote
    “phrases like "make the case for more budget" and the quotes all coming from "Digital Marketing Executive" or "Retention Specialist" titles suggest they're pitching the person who'd run the programme day-to-day and then hand the business case upward to someone like me; it reads competent and specific (NameShare's concrete mechanic, the eLTV framing) but it's not quite speaking my language on risk, proof, or compliance”
    Marketing Director, Food and Beverage · 1001-5000 employeessimulated
    See all 3 comments
    “they're pitching the person running paid/lifecycle campaigns day-to-day rather than someone like me sitting above a renewal decision”
    Senior Marketing Director, Consumer Goods · 5000+ employeessimulated
    “The tone is written for a marketing or growth lead, not really a "Director" title — it's punchy, stat-heavy, slightly performance-marketing-bro in places ("just say my name at…” Show full quote
    “The tone is written for a marketing or growth lead, not really a "Director" title — it's punchy, stat-heavy, slightly performance-marketing-bro in places ("just say my name at checkout"), which reads fine but doesn't feel tailored to F&B or someone thinking in category/boardroom terms”
    Senior Ecommerce Director, Food and Beverage · 1001-5000 employeessimulated
  • EMEA positioning raises doubts about US support

    1 of 15

    “"EMEA Referral Software" in the headline and the £ figures throughout give that away immediately, which already makes me wonder how deep their US bench and support actually…” Show full quote
    “"EMEA Referral Software" in the headline and the £ figures throughout give that away immediately, which already makes me wonder how deep their US bench and support actually is.”
    Director of Ecommerce, Consumer Goods · 5000+ employeessimulated
05

How this works

Who we simulated (15 personas)

15 AI-simulated personas matched to your target market. Each answered independently, without seeing your goal, the scoring criteria, or each other’s answers. Attribution is role, industry and company size only.

Senior Ecommerce DirectorFood and Beverage · 1001-5000 employeesEMEA
Director of EcommerceConsumer Goods · 5000+ employeesUS
Marketing DirectorFashion and Apparel · 201-500 employeesEU
Senior Marketing DirectorBeauty and Personal Care · 501-1000 employeesEMEA
Director of MarketingFood and Beverage · 1001-5000 employeesUS
Ecommerce DirectorConsumer Goods · 5000+ employeesEU
Senior Ecommerce DirectorFashion and Apparel · 201-500 employeesEMEA
Director of EcommerceBeauty and Personal Care · 501-1000 employeesUS
Marketing DirectorFood and Beverage · 1001-5000 employeesEU
Senior Marketing DirectorConsumer Goods · 5000+ employeesEMEA
Director of MarketingFashion and Apparel · 201-500 employeesUS
Ecommerce DirectorBeauty and Personal Care · 501-1000 employeesEU
Senior Ecommerce DirectorFood and Beverage · 1001-5000 employeesEMEA
Director of EcommerceConsumer Goods · 5000+ employeesUS
Marketing DirectorFashion and Apparel · 201-500 employeesEU
Methodology

Every answer on this page was written by an AI model role-playing a buyer profile, scored on Wynter’s B2B Message Layers framework. The personas were sampled in code across role, industry, company size and behavioral traits; the model wrote only the answers. Scores arrive through fixed verdict categories and the counts are computed in our own code, so no number here was written by a model.

Score details: the count and the strength

The count is how many personas cleared the bar on each question. A yes can be unhesitating or come with reservations; the scorecard counts both as a yes, and this is the only place the difference is shown. Per layer:

  • Clarity: 15 of 15, 9 without hesitation, 6 with reservations
  • Relevance: 15 of 15, 2 without hesitation, 13 with reservations
  • Value: 12 of 15, all with reservations
  • Differentiation: 13 of 15, all with reservations

These answers are AI-simulated and directional. Validate anything you’re betting on with real buyers, your ICPs.

Your next 3 moves

  1. 1.Add a methodology note under the £4bn/58m/45,000 stat band explaining how figures are calculated.
  2. 2.Add two or three sentences under 'Earned Referral' explaining how dark social sharing is detected.
  3. 3.Add a non-fashion, repeat-purchase case study to the top of the case study carousel.

See what real buyers say.

A detailed, section-by-section message test report from verified B2B professionals who are actually in-market for what you sell.

Test with humans
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