# Message test — https://www.digioh.com/ After reading your page, 12 of 15 personas would take a meeting to learn more. - **Page tested:** https://www.digioh.com/ - **Audience tested against:** primarily marketers at DTC ecommerce brands, but includes some more enterprise ecom brands - **Personas:** 15 simulated - **Report:** https://grader.wynter.com/r/your-personalization-suite-for-ecommerce-growt-xrNEGRI > 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? | 15/15 | 78% | all with reservations | | 2. Relevance | Can they tell what it solves, and who it's for? | 15/15 | 93% | 10 without hesitation, 5 with reservations | | 3. Value | Do they actually want it? | 12/15 | 67% | all with reservations | | 4. Differentiation | Is there a reason to pick you over the alternatives? | 12/15 | 67% | all with reservations | **Brand alignment** (a side metric, not one of the four layers) — 14/15, 74% strength (all with reservations). Does the page read like the company you actually are? **Fix first: Value.** Earliest failing layer, walking the sequence in order — not simply the lowest score. --- ## 02 · What to change, layer by layer Ordered worst-first. Specific edits, not a restatement of the score. ### Value **Add methodology and sample line under the 25x ROI and 12% revenue stats** 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. *effort medium · impact high · tested against Proof next to the claim* **Replace "increase in conversion rates" stat with a named brand's before-and-after result** 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. *effort medium · impact high · tested against Specifics beat superlatives* **Add a line under "Close the revenue gap" showing what lands in Klaviyo** 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. *effort low · impact medium · tested against Tie the feature to the outcome* ### Differentiation **Explain under "Digioh Passport" how shoppers are matched without cookies** "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. *effort medium · impact high · tested against Answer the live objection* **Add a line stating why Digioh beats stitching a quiz app to Klaviyo** 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. *effort low · impact high · tested against Give a reason to choose you* **Move the Klaviyo partner badge and a named case metric beside the hero claim** 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." *effort low · impact medium · tested against Proof next to the claim* ### Brand alignment (side metric) **Fix "powerful on it's own" in the quiz-only section and cut "powerful"** A typo and a superlative in the same line undercut the credibility the case studies build. State what the quiz-only option includes instead. *effort low · impact low · tested against Specifics beat superlatives* --- ## 03 · What is working ### Respondents can restate the product as pop-ups and quizzes that identify shoppers and… Four respondents played the product back accurately as on-site personalization and lead capture with identity resolution feeding downstream email and SMS campaigns. > 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 > > — Marketing Manager, Direct-to-consumer retail, 201-500 > 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 > > — Head of Marketing, Direct-to-consumer retail, 1-10 > 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. > > — Senior Marketing Manager, Direct-to-consumer retail, 201-500 > Pop-ups and quizzes that ID shoppers and personalize onsite offers to recover lost sales. > > — Director of Marketing, Online retail, 501-1000 ### The headline and role-based navigation make the problem and audience obvious in seconds Ten respondents said the opening screen names the problem and the intended buyer immediately, several crediting the role-based navigation tabs. One noted the four-tab split forces clicks to find their own segment. > 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 > > — Head of Marketing, Online retail, 11-50 > 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. > > — Marketing Specialist, Ecommerce, 51-200 > 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. > > — Senior Marketing Manager, Online retail, 501-1000 > 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 > > — Head of Marketing, Direct-to-consumer retail, 1-10 > 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 > > — Marketing Manager, Ecommerce, 51-200 ### Named case studies with hard numbers are the proof respondents believe Five respondents said attributed case studies with specific metrics carry credibility and outweigh the unsourced top-line stats, with one noting they are reference-checkable. Two still wanted a live demo or methodology to fully verify. > 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 > > — Head of Marketing, Online retail, 11-50 > 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 > > — Marketing Specialist, Ecommerce, 51-200 > 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 > > — Marketing Manager, Direct-to-consumer retail, 201-500 > 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. > > — Senior Marketing Manager, Online retail, 501-1000 > 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 > > — Head of Marketing, Direct-to-consumer retail, 1-10 ### The Klaviyo partner badge is read as third-party validation Three respondents cited the Klaviyo partner badge as the credibility marker that separates the product from alternatives. > 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. > > — Senior Marketing Manager, Online retail, 501-1000 > 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 > > — Head of Marketing, Direct-to-consumer retail, 1-10 > 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. > > — Marketing Specialist, Online retail, 11-50 ### Cookie-less identity recognition is the one claim respondents name as a differentiator Two respondents pointed to recognition past cookie expiration as a concrete, testable claim that sets the product apart from competing pop-up tools. > 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. > > — Director of Marketing, Ecommerce, 1001-5000 > 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 > > — Marketing Specialist, Online retail, 11-50 --- ## 04 · What the personas said ### The identity-matching mechanism is never explained Five respondents said identity tracking is emphasized repeatedly but never described technically — no detail on fingerprinting, matching methods, or privacy implications. One said a competitor would win simply by explaining the method plainly. > "identifies shoppers beyond cookie limits" is vague enough to mean anything from email-capture matching to something sketchier on privacy grounds > > — Head of Marketing, Online retail, 11-50 > 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. > > — Marketing Specialist, Ecommerce, 51-200 > 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. > > — Marketing Specialist, Ecommerce, 51-200 > "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? > > — Marketing Manager, Ecommerce, 51-200 ### Top-line ROI and revenue numbers are read as unsourced and are discounted Eight respondents rejected the headline ROI and revenue stats for lacking methodology, sources, baselines, or timeframes. Several wanted before-and-after Klaviyo flow data or proof from brands of similar size. > The "25x ROI" and "12% incremental revenue" numbers have no methodology behind them so I'd ignore those until I saw a source. > > — Head of Marketing, Online retail, 11-50 > 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 > > — Marketing Manager, Direct-to-consumer retail, 201-500 > 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. > > — Senior Marketing Manager, Online retail, 501-1000 > 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 > > — Director of Marketing, Ecommerce, 1001-5000 > 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 > > — Head of Marketing, Direct-to-consumer retail, 1-10 > 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) > > — Marketing Specialist, Online retail, 11-50 > 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. > > — Senior Marketing Manager, Direct-to-consumer retail, 201-500 > 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 > > — Marketing Manager, Ecommerce, 51-200 ### One respondent questioned whether the category warrants a standalone tool A respondent said the unsourced numbers left them doubting whether this needs to be a separate product rather than stitching together Klaviyo and a quiz app. > 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. > > — Senior Marketing Manager, Direct-to-consumer retail, 201-500 --- ## 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's central proof points are discounted on first read, so the quantified value case lands as advertising rather than evidence.** *(high)* 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.** *(high)* 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.** *(high)* 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.** *(medium)* 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.** *(medium)* 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.** *(medium)* 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. --- ## 06 · Who answered | # | Role | Industry | Company size | | --- | --- | --- | --- | | 1 | Head of Marketing | Online retail | 11-50 | | 2 | Marketing Specialist | Ecommerce | 51-200 | | 3 | Marketing Manager | Direct-to-consumer retail | 201-500 | | 4 | Senior Marketing Manager | Online retail | 501-1000 | | 5 | Director of Marketing | Ecommerce | 1001-5000 | | 6 | Head of Marketing | Direct-to-consumer retail | 1-10 | | 7 | Marketing Specialist | Online retail | 11-50 | | 8 | Marketing Manager | Ecommerce | 51-200 | | 9 | Senior Marketing Manager | Direct-to-consumer retail | 201-500 | | 10 | Director of Marketing | Online retail | 501-1000 | | 11 | Head of Marketing | Ecommerce | 1001-5000 | | 12 | Marketing Specialist | Direct-to-consumer retail | 1-10 | | 13 | Marketing Manager | Online retail | 11-50 | | 14 | Senior Marketing Manager | Ecommerce | 51-200 | | 15 | Director of Marketing | Direct-to-consumer retail | 201-500 | --- ## 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 2026-10-06, then deleted along with the personas and their answers.