# Message test — https://www.emporiaresearch.com/ After reading your page, only 0 of 15 personas could name what kind of product this is, unprompted. - **Page tested:** https://www.emporiaresearch.com/ - **Audience tested against:** Research buyers at enterprise companies - **Personas:** 15 simulated - **Report:** https://grader.wynter.com/r/emporia-research-Ebw46AQ > These answers are generated by AI, scored on Wynter's B2B Message > Layers framework using behaviorally-diverse simulated personas. The > methodology is real and the critique is directional. What a simulated > persona cannot have is a live budget, a renewal coming up, or a boss > asking about this quarter. --- ## 01 · The scores Every persona answered all four questions. These are four independent proportions of the same panel, not stages of a funnel. | Layer | Question | Cleared the bar | Strength | Of those who passed | | --- | --- | --- | --- | --- | | 1. Clarity | Do they understand what you do? | 0/15 | 87% | 6 without hesitation, 9 with reservations | | 2. Relevance | Can they tell what it solves, and who it's for? | 15/15 | 94% | 11 without hesitation, 4 with reservations | | 3. Value | Do they actually want it? | 12/15 | 65% | all with reservations | | 4. Differentiation | Is there a reason to pick you over the alternatives? | 10/15 | 61% | all with reservations | **Brand alignment** (a side metric, not one of the four layers) — 13/15, 70% strength (all with reservations). Does the page read like the company you actually are? **Fix first: Clarity.** Earliest failing layer, walking the sequence in order — not simply the lowest score. ### What they thought you sell 4 of the personas who named a category got it wrong: - 2× “B2B research recruitment / sample provider” - 1× “B2B research participant recruitment platform” - 1× “Verified B2B research recruitment platform” --- ## 02 · What to change, layer by layer Ordered worst-first. Specific edits, not a restatement of the score. ### Clarity **Define "Deep Signal Targeting" in one sentence directly beneath the hero headline.** The page uses "Deep Signal Targeting" as if the reader already knows it, and nothing on the page explains it. Write a plain sentence saying what a signal is and how it finds a respondent. *effort low · impact high · tested against Plain language* **Replace the bare "3,000 signals" claim with what the signals are and where they come from.** A number with no unit means nothing: a reader cannot tell if a signal is a job attribute, a firmographic field, or a behaviour. Name two or three example signals and the source next to the figure. *effort low · impact high · tested against Specifics beat superlatives* **Add a short labelled screenshot of the targeting or respondent-verification screen above the fold.** A reader cannot see what they would actually use; the top of the page is claims and comparison text only. Show the interface where targeting criteria are set and verification results appear. *effort medium · impact medium · tested against Show the product early* ### Differentiation **Attach the verification method to the "verified respondents" claim wherever it first appears.** Every panel vendor claims verified respondents, so the phrase does no work alone. Say which check runs, when it runs, and what fails a respondent. *effort medium · impact high · tested against Proof next to the claim* **Add a one-line reason-to-choose under the comparison table naming what only you do.** The table shows you differ from panels and expert networks, but not why that difference is hard to copy. State the specific thing, such as how identity is verified before a respondent enters a study. *effort low · impact high · tested against Give a reason to choose you* ### Value **Put the methodology and time period beside the completion, fraud and reversal rate figures.** The rates arrive with no sample size, period or comparison, so a buyer cannot take them to a budget holder. Add the number of studies, the date range, and the benchmark they beat. *effort medium · impact high · tested against Proof next to the claim* **Add a pricing and contract-terms line, plus GDPR and data governance, near the main CTA.** A VP renewing or a procurement team cannot progress without price model, contract length and data handling. State the pricing model and link a data governance page beside the call to action. *effort medium · impact medium · tested against Answer the live objection* ### Brand alignment (side metric) **Add a company facts line in the footer: founded, headcount, funding, clients served.** The page reads like an established vendor but offers nothing to confirm it, so the incumbent claim rests on case studies alone. Give founding year, team size, funding stage and client count. *effort low · impact medium · tested against Specifics beat superlatives* --- ## 03 · What is working ### The hero line names the problem, the solution, and the buyer in one pass Nine respondents said the headline and comparison table made the category and target audience obvious without hunting, specifically that it reads as a verified B2B respondent sourcing platform positioned against panels and expert networks. > They recruit verified B2B and healthcare professionals for market research — basically a sample provider that's positioning itself against panels and expert networks. > > — Director of Research, Market Research, 1001-5000 > Your data is only as good as the humans behind it. Recruit verified professionals for B2B and healthcare research without the fraud of panels or cost of expert networks > > — Director of Research, Market Research, 1001-5000 > the hero line "Your data is only as good as the humans behind it" plus the subhead "Recruit verified professionals for B2B and healthcare research without the fraud of panels or cost of expert networks" told me the problem (bad-quality/fraudulent respondents in B2B research) and the buyer (market research teams choosing between panels and expert networks) within the first screen. > > — Director of Research, Management Consulting, 1001-5000 > Recruit verified professionals for B2B and healthcare research without the fraud of panels or cost of expert networks > > — Market Research Director, Financial Services, 5000+ > the hero line "Recruit verified professionals for B2B and healthcare research without the fraud of panels or cost of expert networks" tells me the problem (fraud/quality in panels, cost of expert networks) and the buyer (people running B2B/healthcare research) in one sentence > > — Market Research Director, Consumer Goods, 5000+ > Named logos like Gong and Simon-Kucher with concrete numbers (80+ leaders in under 3 weeks, 600 respondents across 2 audiences) are what actually make me believe this is real rather than just another sample-panel reseller with a fraud-detection buzzword slapped on. > > — Director of Research, Management Consulting, 1001-5000 > "Your data is only as good as the humans behind it" plus the subhead "Recruit verified professionals for B2B and healthcare research without the fraud of panels or cost of expert networks" tells me the problem (bad/fraudulent respondent data) and the buyer (research/insights teams doing B2B or healthcare studies) within the first two lines > > — Senior Research Manager, Management Consulting, 5000+ > the hero line "Recruit verified professionals for B2B and healthcare research without the fraud of panels or cost of expert networks" told me the problem (fraud/cost in existing recruitment sources) and the buyer (research/insights teams needing B2B or healthcare respondents) in one sentence. > > — Director of Research, Technology, 1001-5000 ### Named case studies with hard numbers are the proof respondents believed Six respondents singled out the comparison table, named competitors, and named client case studies with metrics as the most credible evidence on the page, rating it above testimonial quotes and unsubstantiated claims. > The case studies with numbers (80+ qualified leaders in under 3 weeks, 24hr to first interview) are the strongest thing on the page because they're specific and checkable > > — Market Research Director, Financial Services, 5000+ > "80+ qualified leaders" in "<3 wk" for Gong and "600 verified respondents" across "2 audiences, one platform" in "<4 wk" for Simon-Kucher are at least concrete numbers tied to named clients I can go verify > > — VP of Research, Management Consulting, 5000+ > "80+ Qualified leaders" in "<3 wk" for Gong, and "600 Verified respondents" across "2 Audiences, one platform" for Simon-Kucher are specific enough to check with those companies directly, which I'd actually do. > > — Research Buyer, Technology, 1001-5000 > if the other shortlisted vendor can't show named clients and hard numbers like that, Emporia wins by default > > — Market Research Director, Financial Services, 5000+ > If it worked as promised, I'd stop juggling a panel vendor for quick-turn quant and an expert network for the pricier qual work — that's real workload consolidation, not just a nicer UI. > > — Director of Research, Management Consulting, 1001-5000 --- ## 04 · What the personas said ### 'Deep Signal Targeting' and '3,000 signals' are never defined Two respondents flagged the proprietary terminology as undefined, and one said the undefined metric actively weakens the competitive positioning rather than strengthening it. > 'Deep Signal Targeting' and '3,000 signals' are the vaguer terms floating around later on the page that I'd want defined, since they never say what a 'signal' actually is. > > — Director of Research, Management Consulting, 1001-5000 > if a competitor's page defines its verification method in plainer terms, that wins. So: named case-study numbers pull me in, but an undefined proprietary metric like "reversal rates" next to unsupported ones like "800M+ employee records" is exactly the kind of thing that makes me ask for a source > > — Research Buyer, Technology, 1001-5000 ### The reader's job title is left to be inferred Two respondents wanted explicit function names such as Director of Research near the top of the page rather than inferring the buyer from testimonials. > I'd want my own title or function named outright — 'Director of Research' or 'Insights team' — rather than inferring it from testimonial job titles > > — Director of Research, Management Consulting, 1001-5000 > I'd need my actual title or function named — "Director of Research" or "Insights" somewhere near the top, not just inferred from persona chips > > — Director of Research, Technology, 1001-5000 ### The core verification and fraud claims are asserted, not evidenced Seven respondents said completion rate, fraud rate, reversal rate, database size, and 'verified respondents' arrive without numbers, methodology, benchmarks, or independent audit, leaving the central value proposition unproven for budget approval. > only if they can show me the verification mechanism live (how "real-time LinkedIn validation" actually flags fraud, not just the label) and give me a reference client who'll admit their reversal/completion rate before vs after switching > > — Director of Research, Market Research, 1001-5000 > "100% verified respondents" and "industry-leading reversal rates" sit right next to each other with zero number attached to the reversal rate > > — Director of Research, Market Research, 1001-5000 > the case studies (80+ qualified leaders in under 3 weeks for Gong, first interview in 24 hours) at least gesture at a mechanism rather than just asserting speed > > — Research Operations Manager, Consumer Goods, 1001-5000 > "100% verified" and "800M+ employee records" are numbers with no sourcing, so I'd need their verification methodology and an independent audit before I trust that claim > > — Research Buyer, Financial Services, 1001-5000 > I'd need proof of the reversal rates and actual verification methodology before I believe it's meaningfully different from a panel with better marketing. > > — Market Research Director, Consumer Goods, 5000+ ### The page reads as mid-stage but gives no company facts to confirm it Four respondents inferred a Series B/C mid-size SaaS from case studies and infrastructure scale, then noted the absence of founding date, funding, headcount, and logo count undercuts incumbent credibility. One also found the voice shifting between research… > then it slips into generic B2B marketing voice ("Your audience is out there. We know where to look.") that reads like it's aimed at a marketer rather than a research ops person who wants methodology. > > — Senior Research Manager, Market Research, 5000+ > I'd picture a mid-stage B2B SaaS company, maybe 50-200 people, Series B/C range — not a scrappy two-year-old startup (the case studies with Gong and Simon-Kucher and the "800M+ employee records" claim suggest some real infrastructure and client history) > > — Director of Research, Technology, 1001-5000 > What would still make me want more before treating them as a serious incumbent is actual scale proof — headcount, years in business, how many enterprise logos beyond the six quoted > > — VP of Research, Financial Services, 5000+ > They clearly sell to two sides — research buyers like me and the "verified professionals" who get paid to participate — which tells me this is a marketplace model, not a pure software tool > > — Market Research Director, Financial Services, 5000+ ### Procurement-stage details are absent Two respondents said pricing, contract terms, data governance, and GDPR compliance are missing, which blocks VP-level renewal and enterprise procurement decisions. > there's no pricing model, contract terms, or data-governance detail that a VP evaluating renewal risk would need > > — VP of Research, Management Consulting, 5000+ > it still reads more like a demand-gen page optimized for a mid-market buyer than a technical brief for someone doing vendor due diligence at a 5000+ person firm; there's no mention of data governance, DPA/GDPR compliance, or enterprise procurement terms > > — Senior Research Manager, Management Consulting, 5000+ ### Proof would have to come from a live comparison, not the page Two respondents said the claims are only settled by verifying performance in a live study or through a live verification mechanism, not from the material as presented. > I'd only take the meeting if they can show me a side-by-side fraud/quality comparison against my current vendor on a live study — not case studies from Gong and Simon-Kucher, our own data. > > — Senior Research Manager, Market Research, 5000+ > only if they can show me the verification mechanism live (how "real-time LinkedIn validation" actually flags fraud, not just the label) and give me a reference client who'll admit their reversal/completion rate before vs after switching > > — Director of Research, Market Research, 1001-5000 --- ## 05 · The hardest read An adversarial pass over the findings. Every claim below was checked against the panel's own answers; unsupported ones were dropped. - **The page wins attention at the headline and then loses the sale at the numbers.** *(high)* Nine respondents said the hero named problem, solution and buyer instantly, but seven said completion, fraud, reversal and database claims arrive with no methodology or audit. Clarity converts into scrutiny the page cannot survive. - **The central differentiator is a phrase nobody can price.** *(high)* 'Deep Signal Targeting' and '3,000 signals' were flagged as undefined, with one respondent saying the metric weakens competitive positioning; seven separately found the verification claims unevidenced. The differentiator and the proof both rest on unbacked… - **The page cannot be forwarded to procurement, so it stalls at the champion.** *(high)* Pricing, contract terms, data governance and GDPR are absent, blocking VP-level renewal, while four respondents found no founding date, funding, headcount or logo count. Nothing here survives a vendor review. - **The case studies are carrying the entire page, and they are outnumbered by the claims they fail to cover.** *(medium)* Six respondents named the comparison table and client case studies as the only credible evidence, explicitly rating them above testimonials and unsubstantiated claims — the same claims seven respondents said lacked numbers or benchmarks. - **Readers have decided the page is unprovable and defaulted to a pilot, which is the slowest possible path to revenue.** *(medium)* Two respondents said the claims are only settled by a live study or live verification mechanism, not the material as presented, while seven found the core value proposition unproven for budget approval. - **The page makes the reader do the qualification work it should be doing.** *(medium)* Two respondents had to infer the buyer from testimonials and wanted explicit function names like Director of Research near the top; four inferred company stage from case studies rather than stated facts. Inference is not positioning. --- ## 06 · Who answered | # | Role | Industry | Company size | | --- | --- | --- | --- | | 1 | Director of Research | Market Research | 1001-5000 | | 2 | VP of Research | Management Consulting | 5000+ | | 3 | Research Buyer | Technology | 1001-5000 | | 4 | Market Research Director | Financial Services | 5000+ | | 5 | Research Operations Manager | Consumer Goods | 1001-5000 | | 6 | Senior Research Manager | Market Research | 5000+ | | 7 | Director of Research | Management Consulting | 1001-5000 | | 8 | VP of Research | Technology | 5000+ | | 9 | Research Buyer | Financial Services | 1001-5000 | | 10 | Market Research Director | Consumer Goods | 5000+ | | 11 | Research Operations Manager | Market Research | 1001-5000 | | 12 | Senior Research Manager | Management Consulting | 5000+ | | 13 | Director of Research | Technology | 1001-5000 | | 14 | VP of Research | Financial Services | 5000+ | | 15 | Research Buyer | Consumer Goods | 1001-5000 | --- ## 07 · Before you act on this The methodology is real, and the critique is directional. What a simulated persona cannot have is a live budget, a renewal coming up, or a boss asking about this quarter. **Validate anything you're betting on with real ICPs who are actually in-market.** Being wrong is more expensive than you think. Finding out is cheaper than you'd guess. Wynter runs message testing with verified B2B professionals — trusted by HubSpot, RingCentral, Shopify, Cognism, Paddle, Veeam, Rippling and Miro. This report is kept for 60 days from 2026-09-09, then deleted along with the personas and their answers.