Message test · Syndigo

Only 5 of 15 buyers could say why they would pick Syndigo over an alternative.

https://syndigo.com/15 AI-simulated buyers

Your message needs work: they know what it is, who it's for, and why it's worth their time, but not 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 15 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?

    Strong14 of 15

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

  • Value

    Do they actually want it?

    Strong12 of 15

    12 would take a meeting to learn more.

  • Differentiation

    Fix first

    Is there a reason to pick you over the alternatives?

    Weak5 of 15

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

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

Additional signalBrand alignment12 of 15StrongShow finding ▸

Five respondents said the page reads as an established B2B vendor but the tone chases a marketing-conference or generalist audience, clashing with procurement and C-suite readers. 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. Name the retailers behind the 3,500+ claim.

    Why: "Send your products to 3,500+ retailers" is the deciding advantage readers latched onto, but only three logos appear. List the major named retailers and marketplaces in the network beside the number.

    5 of 15 raised this

    “it's the specific, checkable infrastructure stats (retailer count, requirement count, daily checks) that would tip me toward shortlisting this one for a pilot, not the outcome claims”
    Chief Information Officer, Apparel & Fashion · 5000+ employeessimulated
    Moves Differentiation
    Proof next to the claim
  2. Add baseline, timeframe and scope to each case study stat.

    Why: "MillerKnoll Increased Conversion Rate 350%" and "Victorinox Improves Operational Efficiency by 60%" carry no denominator or period, so they fail a business case. Give the before figure, the measurement window and what was counted.

    6 of 15 raised this

    “those are headline numbers with zero methodology attached, so I can't tell if they're comparable to our situation or cherry-picked outliers”
    Chief Information Officer, Apparel & Fashion · 5000+ employeessimulated
    Moves Value
    Proof next to the claim
  3. Say plainly in the hero that Syndigo syndicates product data.

    Why: "Every product. Every channel. Every time." and "makes it complete, keeps it moving" hide the job until the audience tiles appear. Open with sending validated product content to retailers and marketplaces.

    4 of 15 raised this

    “the top-line phrases like "complete, keeps it moving, and delivers it everywhere buying decisions get made by humans, agents or algorithms" - that's marketing rhythm, not a description…” Show full quote
    “the top-line phrases like "complete, keeps it moving, and delivers it everywhere buying decisions get made by humans, agents or algorithms" - that's marketing rhythm, not a description of a workflow, so I couldn't picture what my team would actually log into or do differently”
    VP of Merchandising, CPG · 5000+ employeessimulated
    Moves Clarity
    Lead with the use case

Keep these · 2

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

  1. Keep · Clarity

    The three-way audience segmentation is what makes the page navigable

    “The problem clicks by the second section — "For Brands / For Retailers / For IT" spells out three distinct readers and what each gets”
    Head of eCommerce, Retail · 1001-5000 employeessimulated
  2. Keep · Value

    Fewer chargebacks and less content-chasing time landed as the concrete payoff

    “the practical change would be fewer chargebacks from bad listings and less time our team spends chasing retailers to fix content - that's what actually landed for me…” Show full quote
    “the practical change would be fewer chargebacks from bad listings and less time our team spends chasing retailers to fix content - that's what actually landed for me from the Liquid IV and MillerKnoll numbers”
    VP of Merchandising, CPG · 5000+ employeessimulated
03

All recommendations

Differentiation

Weak5 of 15
Moves DifferentiationGive a reason to choose you

Replace 'Found isn't enough. Get chosen.' with a concrete claim.

Why: The slogan repeats above every case study and gives no reason to pick Syndigo over another syndication vendor. Use the specific edge instead: the number of validated retailer specs and how fast a new SKU goes live.

5 of 15 raised this

“it's the specific, checkable infrastructure stats (retailer count, requirement count, daily checks) that would tip me toward shortlisting this one for a pilot, not the outcome claims”
Chief Information Officer, Apparel & Fashion · 5000+ employeessimulated
Moves DifferentiationTie the feature to the outcome

Explain what 'requirements already built in' spares the buyer.

Why: The phrase repeats three times without saying what it replaces. State that Syndigo maintains each retailer's spec so teams stop re-formatting feeds and chasing rejections.

5 of 15 raised this

“it's the specific, checkable infrastructure stats (retailer count, requirement count, daily checks) that would tip me toward shortlisting this one for a pilot, not the outcome claims”
Chief Information Officer, Apparel & Fashion · 5000+ employeessimulated

Value

Strong12 of 15
Moves ValueConcrete over abstract

Lead the proof block with chargebacks and content-chasing time.

Why: The payoff readers actually took away — fewer chargebacks, less time chasing content from brands — is buried in one Liquid IV headline. Make it the headline benefit above the case studies.

6 of 15 raised this

“those are headline numbers with zero methodology attached, so I can't tell if they're comparable to our situation or cherry-picked outliers”
Chief Information Officer, Apparel & Fashion · 5000+ employeessimulated
Moves ValueTie the feature to the outcome

Define what '1M+ data quality checks a day' catches.

Why: The number floats without an outcome. Say what the checks prevent — rejected listings, retailer fines, delayed launches — so the figure buys something.

6 of 15 raised this

“those are headline numbers with zero methodology attached, so I can't tell if they're comparable to our situation or cherry-picked outliers”
Chief Information Officer, Apparel & Fashion · 5000+ employeessimulated

Relevance

Strong14 of 15
Moves RelevanceName the audience

Add a mid-market manufacturer case study to the proof row.

Why: Liquid IV, MillerKnoll and Victorinox all read as large global brands, leaving smaller manufacturers unsure the page is for them. Include one with company size and SKU count stated.

2 of 15 raised this

“I'd need a line naming our kind of business directly - a large multi-brand EU CPG manufacturer - plus a stat tied to that, something like "reduced time-to-shelf…” Show full quote
“I'd need a line naming our kind of business directly - a large multi-brand EU CPG manufacturer - plus a stat tied to that, something like "reduced time-to-shelf across X brands" rather than the generic "get chosen on every shelf,"”
VP of Merchandising, CPG · 5000+ employeessimulated
Additional signal

Brand alignment

Strong12 of 15
Moves Brand alignmentPlain language

Cut 'agentic commerce' and 'agentic shelf' from headings.

Why: Undefined jargon reads as conference-stage language to procurement and C-suite readers. Say where product data appears — retailer sites, marketplaces, AI shopping assistants — in plain words.

5 of 15 raised this

“The tone is aimed at someone like me in parts — the "For Brands / For Retailers / For IT" split talks straight to operational buyers and skips…” Show full quote
“The tone is aimed at someone like me in parts — the "For Brands / For Retailers / For IT" split talks straight to operational buyers and skips the fluff — but the "Ask anything / Add to cart" chatbot mockup and lines like "Every product deserves to be chosen. Especially yours" feel like they're chasing a marketing-conference audience”
Head of eCommerce, Retail · 1001-5000 employeessimulated
Moves Brand alignment

Drop the shopping-chat demo and '12 people are looking at this'.

Why: The simulated consumer chat and fake-urgency counter belong on a DTC storefront, not an enterprise data infrastructure page, and clash with the established-vendor tone the rest of the page earns.

5 of 15 raised this

“The tone is aimed at someone like me in parts — the "For Brands / For Retailers / For IT" split talks straight to operational buyers and skips…” Show full quote
“The tone is aimed at someone like me in parts — the "For Brands / For Retailers / For IT" split talks straight to operational buyers and skips the fluff — but the "Ask anything / Add to cart" chatbot mockup and lines like "Every product deserves to be chosen. Especially yours" feel like they're chasing a marketing-conference audience”
Head of eCommerce, Retail · 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 central category claim is rejected by the people it is aimed at.

    Three respondents described the product plainly as PIM/MDM syndication and explicitly rejected the AI shopping agent framing, while four called 'agentic commerce' undefined jargon that buries the workflow problem. The positioning bet is being read as…

  • high

    Every quantified proof point on the page is currently unusable in a buying conversation.

    Six respondents said the figures lack denominators, baselines, timeframes and attribution, with one stating it would not survive a CFO business case. Numbers that cannot be verified do not get forwarded internally.

  • high

    The page names its own moat and then fails to evidence it, handing the deal to competitors.

    Five respondents identified retailer network size and validated requirements as the deciding advantage, then found only three logos, no named retailer list and no reference customer. The one claim that decides the category is the least substantiated.

  • medium

    Proof and audience are misaligned on two axes at once, so credibility gaps compound.

    Three respondents said case studies were the wrong business scale and the EU CPG manufacturer segment was absent, while five said the tone chases a marketing-conference audience over procurement and C-suite. Wrong evidence delivered in the wrong register.

  • medium

    The page only works after the reader has already survived the part most likely to make them leave.

    Six respondents credited the audience tiles with making the page navigable and said the value only clicks once those sections appear — after four found the hero tagline obscured the use case. The structure front-loads its weakest asset.

  • medium

    The concrete operational payoff reaches almost nobody.

    Only one respondent named reduced chargebacks and less content-chasing time as the tangible benefit, against six who could not verify the case study figures. The benefit that would resonate is buried beneath numbers nobody trusts.

Differentiation

  • The retailer network and validation scale is the named differentiator, but it is unproven

    5 of 15

    “it's the specific, checkable infrastructure stats (retailer count, requirement count, daily checks) that would tip me toward shortlisting this one for a pilot, not the outcome claims”
    Chief Information Officer, Apparel & Fashion · 5000+ employeessimulated
    See all 5 comments
    “"validated against nearly 4,000 retailer requirements with 1M+ data quality checks a day" — that's a concrete, verifiable claim about scale that a competitor might not match, and…” Show full quote
    “"validated against nearly 4,000 retailer requirements with 1M+ data quality checks a day" — that's a concrete, verifiable claim about scale that a competitor might not match, and it's specific enough to ask for evidence on. But the case studies sit right next to it and undercut it”
    Head of eCommerce, Retail · 1001-5000 employeessimulated
    “I'd need a named-account list showing my actual retailers are in their 3,500+ network with the requirements pre-built, not just three logos in unrelated verticals to mine”
    Chief Marketing Officer, Apparel & Fashion · 501-1000 employeessimulated
    “it's the network/validation-scale number that would make me pick it, not the "get chosen everywhere" positioning, which is just marketing wrap”
    CMO, Ecommerce · 1001-5000 employeessimulated
    “The "3,500+ retailers, with requirements already built in" line is the one thing that could actually differentiate this from a generic PIM — if true, that's a real…” Show full quote
    “The "3,500+ retailers, with requirements already built in" line is the one thing that could actually differentiate this from a generic PIM — if true, that's a real integration moat, not just a feature list. But it rules itself back out because there's no proof: no named retailer list, no case study showing a brand our size onboarding to that network faster than with a competitor.”
    Chief Information Officer, Retail · 5000+ employeessimulated

Value

  • Case study numbers are not believed because methodology, baseline and timeframe are…

    6 of 15

    “those are headline numbers with zero methodology attached, so I can't tell if they're comparable to our situation or cherry-picked outliers”
    Chief Information Officer, Apparel & Fashion · 5000+ employeessimulated
    See all 6 comments
    “the case studies (MillerKnoll's 350%, Liquid IV's chargeback reduction) are dropped in with zero context on scope or baseline, so I can't tell if it's incremental or transformative.”
    Head of eCommerce, Retail · 1001-5000 employeessimulated
    “the Liquid IV "reduced chargebacks for 500 SKUs" and MillerKnoll "350% conversion" cases are the right shape of proof, but I need the denominators: chargebacks from what baseline…” Show full quote
    “the Liquid IV "reduced chargebacks for 500 SKUs" and MillerKnoll "350% conversion" cases are the right shape of proof, but I need the denominators: chargebacks from what baseline to what, conversion off what starting point and over what time frame, and whether that's attributable to this tool alone”
    Chief Marketing Officer, Apparel & Fashion · 501-1000 employeessimulated
    “the Liquid IV "reduced chargebacks for 500 SKUs" and MillerKnoll "350% conversion increase" case studies are the right kind of proof, but they're one-liners with no baseline, timeframe,…” Show full quote
    “the Liquid IV "reduced chargebacks for 500 SKUs" and MillerKnoll "350% conversion increase" case studies are the right kind of proof, but they're one-liners with no baseline, timeframe, or mechanism”
    CMO, Ecommerce · 1001-5000 employeessimulated
    “The Liquid IV "reduced chargebacks" and MillerKnoll "350% conversion" lines gesture at that, but there's no methodology or baseline behind them, so they don't move me on their…” Show full quote
    “The Liquid IV "reduced chargebacks" and MillerKnoll "350% conversion" lines gesture at that, but there's no methodology or baseline behind them, so they don't move me on their own.”
    Chief Information Officer, Retail · 5000+ employeessimulated
    “A measurable drop in retailer rejections and chargebacks across our own SKU base within the first two quarters - not a vendor-quoted average, but something we could see…” Show full quote
    “A measurable drop in retailer rejections and chargebacks across our own SKU base within the first two quarters - not a vendor-quoted average, but something we could see in our own scorecards from Carrefour, Tesco, or REWE”
    Chief Digital Officer, CPG · 501-1000 employeessimulated
  • Fewer chargebacks and less content-chasing time landed as the concrete payoff

    1 of 15 · what worked

    “the practical change would be fewer chargebacks from bad listings and less time our team spends chasing retailers to fix content - that's what actually landed for me…” Show full quote
    “the practical change would be fewer chargebacks from bad listings and less time our team spends chasing retailers to fix content - that's what actually landed for me from the Liquid IV and MillerKnoll numbers”
    VP of Merchandising, CPG · 5000+ employeessimulated

Relevance

  • The proof shown does not match the reader's own segment or scale

    2 of 15

    “I'd need a line naming our kind of business directly - a large multi-brand EU CPG manufacturer - plus a stat tied to that, something like "reduced time-to-shelf…” Show full quote
    “I'd need a line naming our kind of business directly - a large multi-brand EU CPG manufacturer - plus a stat tied to that, something like "reduced time-to-shelf across X brands" rather than the generic "get chosen on every shelf,"”
    VP of Merchandising, CPG · 5000+ employeessimulated
    See all 3 comments
    “a live walkthrough of a messy SKU going in and coming out clean across two or three retailers we actually use — if they can show that in…” Show full quote
    “a live walkthrough of a messy SKU going in and coming out clean across two or three retailers we actually use — if they can show that in fifteen minutes, we keep talking; if it's a slide deck, I'm out.”
    Head of eCommerce, Retail · 1001-5000 employeessimulated
    “none of those three look like a 5000-person EU CPG business - I'd want a logo or number closer to our size and region before I trusted "3,500+…” Show full quote
    “none of those three look like a 5000-person EU CPG business - I'd want a logo or number closer to our size and region before I trusted "3,500+ retailers" to mean our retailers”
    VP of Merchandising, CPG · 5000+ employeessimulated

Clarity

  • The marketing headline buries the actual workflow problem

    4 of 15

    “the top-line phrases like "complete, keeps it moving, and delivers it everywhere buying decisions get made by humans, agents or algorithms" - that's marketing rhythm, not a description…” Show full quote
    “the top-line phrases like "complete, keeps it moving, and delivers it everywhere buying decisions get made by humans, agents or algorithms" - that's marketing rhythm, not a description of a workflow, so I couldn't picture what my team would actually log into or do differently”
    VP of Merchandising, CPG · 5000+ employeessimulated
    See all 4 comments
    “the actual problem statement is buried in marketing fluff first — "get chosen everywhere," "make your data worth choosing" — which is empty until you hit that three-column…” Show full quote
    “the actual problem statement is buried in marketing fluff first — "get chosen everywhere," "make your data worth choosing" — which is empty until you hit that three-column section”
    Chief Information Officer, Retail · 5000+ employeessimulated
    “The phrase "agentic commerce connectors" and lines like "delivers it everywhere buying decisions get made by humans, agents or algorithms" are the culprits — that's vendor jargon layered…” Show full quote
    “The phrase "agentic commerce connectors" and lines like "delivers it everywhere buying decisions get made by humans, agents or algorithms" are the culprits — that's vendor jargon layered on top of what's still just syndication, and it's not defined anywhere on the page”
    Chief Marketing Officer, Apparel & Fashion · 501-1000 employeessimulated
    “headline copy ("Get chosen everywhere," "product data has one job") is fluff, and I had to get down to the "Get it right / Send it everywhere /…” Show full quote
    “headline copy ("Get chosen everywhere," "product data has one job") is fluff, and I had to get down to the "Get it right / Send it everywhere / Make it undeniable" section before I found the real substance”
    Head of eCommerce, Apparel & Fashion · 1001-5000 employeessimulated
  • The three-way audience segmentation is what makes the page navigable

    5 of 15 · what worked

    “The problem clicks by the second section — "For Brands / For Retailers / For IT" spells out three distinct readers and what each gets”
    Head of eCommerce, Retail · 1001-5000 employeessimulated
    See all 4 comments
    “It's only once I hit the For Brands/Retailers/IT section and the 3,500+ retailer number that it resolved into something I recognized as PIM plus syndication.”
    Head of eCommerce, Retail · 1001-5000 employeessimulated
    “the "For Brands / For Retailers / For IT" split spelled out three distinct readers within a few seconds of scrolling, each with a one-line problem attached”
    VP of Merchandising, CPG · 5000+ employeessimulated
    “the top-line hook is a bit fuzzy but the structure underneath resolves it fast enough that I wouldn't call this a hunt”
    Chief Digital Officer, CPG · 501-1000 employeessimulated
  • Respondents read the product as a PIM/MDM syndication platform, not a new category

    3 of 15

    “Product data management/syndication - gets product info to retailers, PIM/MDM basically.”
    Chief Digital Officer, Ecommerce · 501-1000 employeessimulated
    See all 3 comments
    “I'd call it a Product Information Management (PIM) / Master Data Management (MDM) and syndication suite — not a new category, just PIM with an AI wrapper and…” Show full quote
    “I'd call it a Product Information Management (PIM) / Master Data Management (MDM) and syndication suite — not a new category, just PIM with an AI wrapper and a retailer network as the moat.”
    CMO, Ecommerce · 1001-5000 employeessimulated
    “The "AI agents shopping for lipstick" bit up top is just decoration, not the actual product.”
    Chief Information Officer, Retail · 5000+ employeessimulated

Brand alignment

  • The tone targets two audiences at once and misses executive buyers

    5 of 15

    “The tone is aimed at someone like me in parts — the "For Brands / For Retailers / For IT" split talks straight to operational buyers and skips…” Show full quote
    “The tone is aimed at someone like me in parts — the "For Brands / For Retailers / For IT" split talks straight to operational buyers and skips the fluff — but the "Ask anything / Add to cart" chatbot mockup and lines like "Every product deserves to be chosen. Especially yours" feel like they're chasing a marketing-conference audience”
    Head of eCommerce, Retail · 1001-5000 employeessimulated
    See all 4 comments
    “the front-loaded copy ("Every product. Every channel. Every time.") and the chatbot lipstick demo feel like they're aimed at a marketing generalist or a retail buyer, not a…” Show full quote
    “the front-loaded copy ("Every product. Every channel. Every time.") and the chatbot lipstick demo feel like they're aimed at a marketing generalist or a retail buyer, not a VP signing off a data infrastructure contract; that mismatch is a small tell that this page is trying to do too many jobs at once”
    VP of Merchandising, CPG · 5000+ employeessimulated
    “The tone is half for me and half for a much less senior audience: the "For Brands / For Retailers / For IT" split and case studies are…” Show full quote
    “The tone is half for me and half for a much less senior audience: the "For Brands / For Retailers / For IT" split and case studies are written for someone like me making a budget call, but the "eco friendly, high quality, moisturizing lipstick" chatbot mock-up and "Get chosen everywhere" tagline read like they're aimed at a marketing generalist”
    CMO, CPG · 1001-5000 employeessimulated
    “Tone's more marketing-slick than exec-facing.”
    Chief Digital Officer, Ecommerce · 501-1000 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.

Chief Information OfficerApparel & Fashion · 5000+ employeesUS
Chief Digital OfficerEcommerce · 501-1000 employeesEU
Head of eCommerceRetail · 1001-5000 employeesUS
VP of MerchandisingCPG · 5000+ employeesEU
Chief Marketing OfficerApparel & Fashion · 501-1000 employeesUS
CMOEcommerce · 1001-5000 employeesEU
Chief Information OfficerRetail · 5000+ employeesUS
Chief Digital OfficerCPG · 501-1000 employeesEU
Head of eCommerceApparel & Fashion · 1001-5000 employeesUS
VP of MerchandisingEcommerce · 5000+ employeesEU
Chief Marketing OfficerRetail · 501-1000 employeesUS
CMOCPG · 1001-5000 employeesEU
Chief Information OfficerApparel & Fashion · 5000+ employeesUS
Chief Digital OfficerEcommerce · 501-1000 employeesEU
Head of eCommerceRetail · 1001-5000 employeesUS
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, all with reservations
  • Relevance: 14 of 15, 1 without hesitation, 13 with reservations
  • Value: 12 of 15, all with reservations
  • Differentiation: 5 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.Name the retailers behind the 3,500+ claim.
  2. 2.Add baseline, timeframe and scope to each case study stat.
  3. 3.Say plainly in the hero that Syndigo syndicates product data.

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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