Clarity
Do they understand what you do?
15 could name what kind of product this is, unprompted.
https://www.digioh.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.
Do they understand what you do?
15 could name what kind of product this is, unprompted.
Can they tell what it solves, and who it's for?
15 could quickly tell what problem it solves and who it is for.
Do they actually want it?
12 would take a meeting to learn more.
Is there a reason to pick you over the alternatives?
12 could name a reason to pick you over a similar option.
Your page describes: onsite personalization. They said:
13 couldn't name one; 2 got it right.
Four separate measures, not stages: all 15 personas answered all four questions. Each square is one persona.
Fix "powerful on it's own" in the quiz-only section and cut "powerful" 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 humansThe 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.
Why: The "25x avg. return on investment" and "12% avg. incremental revenue" numbers sit with no baseline, timeframe or source, so readers discount them. Name how many brands, over what period, and against what baseline the figures were measured.
8 of 15 raised this
“The "25x ROI" and "12% incremental revenue" numbers have no methodology behind them so I'd ignore those until I saw a source.”
Why: "Identifies shoppers beyond cookie limits" is repeated but never described, so a competitor that plainly states its method wins the comparison. Say what the match runs on, how long recognition lasts, and how consent is handled.
1 of 15 raised this
“The numbers (25x ROI, 12% incremental revenue, 46% AOV lift for Andie Swim) are what stick, but I'd still want to see the methodology behind those before I believed the category needs to exist separately from what I could stitch together with Klaviyo + a quiz app.”
These landed. Keep the wording when you edit around it.
The headline and role-based navigation make the problem and audience obvious in seconds
“the hero line "Capture the revenue your site is missing" plus the subhead about identifying shoppers and winning back drop-offs told me the problem (lost conversions/cart abandonment) in the first few seconds”
Named case studies with hard numbers are the proof respondents believe
“Andie Swim's "296% increase in onsite CVR" and "46% increase in AOV," RANAVAT's "16% of total online revenue driven by Digioh" — are the only things here that would actually move me versus a competitor, because they're tied to a real brand I can go verify”
Respondents can restate the product as pop-ups and quizzes that identify shoppers and…
“pop-ups and quizzes that identify shoppers (even without cookies) and then serve them tailored offers or product recommendations, feeding that data into your email/SMS tools like Klaviyo”
Why: One stat has no number at all and the others are averages nobody can check. Swap in a named store of comparable size with its conversion rate before and after, and the window it covers.
8 of 15 raised this
“The "25x ROI" and "12% incremental revenue" numbers have no methodology behind them so I'd ignore those until I saw a source.”
Why: The page says data "flows into your ESP, SMS platform, and the rest of your stack" without saying what a marketer sees on the other end. Name the fields and segments pushed to Klaviyo and what a flow can do with them.
8 of 15 raised this
“The "25x ROI" and "12% incremental revenue" numbers have no methodology behind them so I'd ignore those until I saw a source.”
Why: Readers can assume a quiz app plus Klaviyo already covers this, and "Most tools do one thing and stop there" does not answer it. State what identity carried across sessions does that a quiz app and an ESP cannot do alone.
1 of 15 raised this
“The numbers (25x ROI, 12% incremental revenue, 46% AOV lift for Andie Swim) are what stick, but I'd still want to see the methodology behind those before I believed the category needs to exist separately from what I could stitch together with Klaviyo + a quiz app.”
Why: The believable proof, attributed case studies and the Klaviyo partnership, sits far below the unsourced averages that readers hit first. Put one named brand result and the partner badge next to "Capture the revenue your site is missing."
1 of 15 raised this
“The numbers (25x ROI, 12% incremental revenue, 46% AOV lift for Andie Swim) are what stick, but I'd still want to see the methodology behind those before I believed the category needs to exist separately from what I could stitch together with Klaviyo + a quiz app.”
No specific edits needed here — this layer held up.
No specific edits needed here — this layer held up.
Why: A typo and a superlative in the same line undercut the credibility the case studies build. State what the quiz-only option includes instead.
A deliberately adversarial read of the same answers. Each claim was checked back against what the personas said and dropped if nothing supported it.
The page's central proof points are discounted on first read, so the quantified value case lands as advertising rather than evidence.
Eight of 15 rejected the headline ROI and revenue stats for missing methodology, sources, baselines and timeframes, asking instead for before-and-after Klaviyo flow data from comparable brands.
The one mechanism that could carry differentiation is left undescribed, so the differentiation rests on a badge rather than the technology.
Five respondents said identity tracking is repeated but never explained technically, and only two named cookie-less recognition as a differentiator while three cited the Klaviyo partner badge.
Unsourced numbers do not just fail to persuade — they actively undermine the product's reason to exist.
A respondent moved from doubting the stats to doubting the category, saying the job could be stitched together from Klaviyo and a quiz app rather than bought as a standalone tool.
Comprehension is shallower than attention: people grasp who the page is for far more readily than what the product actually does.
Ten respondents said the headline and role navigation name the problem and buyer in seconds, but only four could play the product back accurately as identity resolution feeding email and SMS.
The page's credibility is carried entirely by the case studies, making every other claim on the page dead weight.
Five respondents said attributed case studies with hard numbers outweigh the unsourced top-line stats, while eight discounted those stats outright — the proof hierarchy is inverted relative to page prominence.
Even the strongest proof on the page does not close the sale without a demo.
Of the five who credited the named case studies, two still wanted a live demo or methodology to fully verify, meaning the best-performing asset leaves verification unfinished.
Top-line ROI and revenue numbers are read as unsourced and are discounted
8 of 15
“The "25x ROI" and "12% incremental revenue" numbers have no methodology behind them so I'd ignore those until I saw a source.”
“I've been burned by a similar tool before, so I'd want to see those numbers replicated for a brand like mine before I'd sit through a demo myself”
“The case studies have real names and numbers attached (Andie Swim's 296% CVR increase, Pressed Juicery's quote on CRM flywheel, RANAVAT's 16% of revenue) which is more than most vendor pages give you, so that's not nothing. But the "25x avg ROI" and "12% incremental revenue" stats up top have no source or methodology, and that undercuts the credibility of the named case studies sitting right next to them.”
“The numbers they throw out — 25x ROI, 12% incremental revenue, 46% AOV lift at Andie Swim — are the kind of thing that gets a meeting booked, but they're aggregate and unsourced on methodology”
“the Pressed Juicery and Andie Swim numbers (46% AOV, 296% CVR increase) are the kind of thing I'd want, but those are single-case stats with no baseline or methodology, so they don't move me on their own”
“I'd want the Pressed Juicery and RANAVAT numbers broken down more specifically (timeframe, baseline traffic, whether "16% of total online revenue" is incremental or just attributed)”
“The numbers (25x ROI, 12% incremental revenue, 46% AOV lift for Andie Swim) are what stick, but I'd still want to see the methodology behind those before I believed the category needs to exist separately from what I could stitch together with Klaviyo + a quiz app.”
“the 25x ROI and 12% incremental revenue numbers on this page mean nothing to me without a source or a methodology. I'd take a meeting, but only to get a straight, technical answer on how Passport actually re-identifies people”
One respondent questioned whether the category warrants a standalone tool
1 of 15
“The numbers (25x ROI, 12% incremental revenue, 46% AOV lift for Andie Swim) are what stick, but I'd still want to see the methodology behind those before I believed the category needs to exist separately from what I could stitch together with Klaviyo + a quiz app.”
Named case studies with hard numbers are the proof respondents believe
5 of 15 · what worked
“Andie Swim's "296% increase in onsite CVR" and "46% increase in AOV," RANAVAT's "16% of total online revenue driven by Digioh" — are the only things here that would actually move me versus a competitor, because they're tied to a real brand I can go verify”
“The case studies with hard numbers (46% AOV increase, 296% CVR increase, 16% of total revenue) are specific enough to be worth a meeting, but I'd go in wanting someone to actually show me the Passport identity mechanism live, not just hear "beyond cookie limits" again”
“The Klaviyo Technology Partner of the Year 2025 badge plus named case studies with hard numbers (Andie Swim's 296% CVR increase, RANAVAT's 16% of revenue) would actually tip me toward this one over a vaguer competitor”
“The thing that would actually move it up my shortlist is the Klaviyo Technology Partner of the Year 2025 badge plus the named case studies — Andie Swim's 296% CVR increase and Pressed Juicery's quote about the "CRM flywheel" are specific enough to go check with a reference call.”
“The Klaviyo "Technology Partner of the Year Americas 2025" badge and the named case studies (Pressed Juicery, Andie Swim, RANAVAT with actual names and titles, not just logos) would tip me toward shortlisting it over a faceless competitor — that's a real, checkable claim”
The Klaviyo partner badge is read as third-party validation
3 of 15 · what worked
“The thing that would actually move it up my shortlist is the Klaviyo Technology Partner of the Year 2025 badge plus the named case studies — Andie Swim's 296% CVR increase and Pressed Juicery's quote about the "CRM flywheel" are specific enough to go check with a reference call.”
“The Klaviyo "Technology Partner of the Year Americas 2025" badge and the named case studies (Pressed Juicery, Andie Swim, RANAVAT with actual names and titles, not just logos) would tip me toward shortlisting it over a faceless competitor — that's a real, checkable claim”
“The Klaviyo Technology Partner of the Year badge also carries real weight since Klaviyo is already core to my retention flow, so that's a point in Digioh's favor over a tool with no named ESP credibility.”
Cookie-less identity recognition is the one claim respondents name as a differentiator
2 of 15 · what worked
“The thing that would actually move it up my shortlist is the specific claim that Passport recognizes shoppers "even after cookies expire" — that's the one line that's directly solving my stated problem, not generic personalization fluff, and it's concrete enough to test against our own traffic.”
“The thing that would actually move the needle for me versus a competing pop-up/quiz tool is the "recognizes returning and anonymous shoppers... even after cookies expire" claim”
The identity-matching mechanism is never explained
4 of 15
“"identifies shoppers beyond cookie limits" is vague enough to mean anything from email-capture matching to something sketchier on privacy grounds”
“It's the phrase "identifies shoppers beyond cookie limits" — "beyond cookie limits" is doing a lot of work with zero mechanism behind it. Does that mean fingerprinting, email hashing, login matching, probabilistic matching? I had to re-read it twice looking for the actual method and it just wasn't there.”
“What would rule it out, or at least stall it, is that "identifies shoppers beyond cookie limits" line — it's repeated twice on the page with zero explanation of the actual technical method (device fingerprinting? login matching? something else?), and if a competitor's page explained that mechanism plainly, they'd win the meeting slot instead.”
“"identifies" and "beyond cookie limits" are both doing heavy lifting with zero mechanism attached. Is it device fingerprinting, hashed email matching on login, probabilistic matching, something else?”
Respondents can restate the product as pop-ups and quizzes that identify shoppers and…
4 of 15 · what worked
“pop-ups and quizzes that identify shoppers (even without cookies) and then serve them tailored offers or product recommendations, feeding that data into your email/SMS tools like Klaviyo”
“It's a pop-up/quiz builder with some "identity" tracking bolted on — basically on-site personalization software that tries to recognise returning shoppers past cookie limits and then serves them targeted pop-ups, quizzes, and offers”
“It's an onsite personalization platform for ecommerce — pop-ups and quizzes that capture shopper data, tied to an identity layer ("Passport") that recognizes returning visitors past cookie expiry, with an AI piece that builds/suggests the campaigns.”
“Pop-ups and quizzes that ID shoppers and personalize onsite offers to recover lost sales.”
The headline and role-based navigation make the problem and audience obvious in seconds
8 of 15 · what worked
“the hero line "Capture the revenue your site is missing" plus the subhead about identifying shoppers and winning back drop-offs told me the problem (lost conversions/cart abandonment) in the first few seconds”
“It was obvious fast: the headline "Capture the revenue your site is missing" plus the subhead about an AI agent finding "where they drop off and builds the pop-ups, quizzes, and personalized experiences that win them back" tells you the problem (lost/abandoning shoppers, missing revenue) within the first screen.”
“The reader segments are also spelled out explicitly with named tabs — Ecomm Managers, Retention Marketers, Acquisition Teams, Agencies — so I didn't have to infer who it's for, they just told me.”
“the headline "Capture the revenue your site is missing" plus the subline about identifying shoppers and winning back drop-offs tells you the problem (lost conversions/revenue leakage) in the first few seconds”
“the core pitch — lost/anonymous shoppers, drop-off, recovering revenue — is obvious within the first screen, I didn't have to dig. The reader, though, is split into four tabs — Ecomm Managers, Retention Marketers, Acquisition Teams, Agencies — so it's not one clean persona”
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.
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.
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:
These answers are AI-simulated and directional. Validate anything you’re betting on with real buyers, your ICPs.
A detailed, section-by-section message test report from verified B2B professionals who are actually in-market for what you sell.







