# Message test — https://www.synectics-solutions.com/ After reading your page, 14 of 15 personas could name a reason to pick you over a similar option — and differentiation was the weakest of the four. - **Page tested:** https://www.synectics-solutions.com/ - **Audience tested against:** Fraud, risk and compliance leaders at banks and insurers - **Personas:** 15 simulated - **Report:** https://grader.wynter.com/r/anti-fraud-solutions-synectics-solutions-C2H2JSg > 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 | 88% | 7 without hesitation, 8 with reservations | | 3. Value | Do they actually want it? | 15/15 | 78% | all with reservations | | 4. Differentiation | Is there a reason to pick you over the alternatives? | 14/15 | 74% | all with reservations | **Brand alignment** (a side metric, not one of the four layers) — 15/15, 78% strength (all with reservations). Does the page read like the company you actually are? **Fix first: Differentiation.** 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. ### Differentiation **Attach a named client and time period to the £4.6m case study and £9bn figure.** £9bn, 190+ and the £4.6m saving appear with no source, period or customer behind them, so a buyer cannot check them. Name the bank or insurer, the year, and the before and after loss numbers. *effort medium · impact high · tested against Proof next to the claim* **Replace "Synectics leads the market in application fraud defences" with a specific, measurable claim.** Market leadership and "No. 1" tell a buyer nothing a rival could not also write. State the size of the consortium, the match rate, or the detection lift versus their current tool. *effort low · impact high · tested against Specifics beat superlatives* **Add a line under the stats bar giving the methodology and period behind £9bn.** The savings figure floats with no baseline, so readers treat it as marketing arithmetic. Say how savings are calculated, over what period, and across how many members. *effort low · impact medium · tested against Proof next to the claim* ### Clarity **Add one sentence after the hero saying whether Synectics sells data, software, or both.** Readers cannot tell if they are buying consortium data access, the SIRA platform, or a bundle. Say plainly that National SIRA is the shared data and SIRA is the software that uses it. *effort low · impact high · tested against Show the product early* ### Relevance **Add an insurance-specific line to the "Fraud doesn't stop at onboarding" section.** The copy speaks to fraud teams generally and reads bank-first despite the insurer logos. Name insurance moments such as quote manipulation, ghost broking and claims evidence. *effort medium · impact medium · tested against Name the audience* --- ## 03 · What is working ### The consortium data model reads as the core offering, and respondents could state it back Six respondents described the page unprompted as a cross-sector fraud consortium with a decisioning or lifecycle-monitoring layer, explicitly distinguishing it from a standalone KYC vendor. The core positioning survived first reading. > They run a shared fraud intelligence database across banks, insurers and telecoms - National SIRA - and sell tools on top of it (SIRA platform) for application fraud checks, document screening, and ongoing monitoring through the customer lifecycle. > > — Director of Fraud Risk, Financial Services, 5000+ > banks, insurers, telcos feed in confirmed fraud and suspect signals, and you check applicants against that pooled database (they call it National SIRA) to catch fraud at onboarding and keep monitoring through the customer lifecycle > > — Senior Compliance Officer, Financial Services, 5000+ > It's a shared fraud intelligence consortium with a decisioning layer on top - basically National SIRA, a cross-sector database that 190+ banks, insurers and telecoms firms feed confirmed fraud and suspect signals into, plus Synectics' tooling (SIRA platform) > > — Compliance Risk Manager, Insurance, 1001-5000 ### The headline and logo strip land the problem and audience immediately Three respondents said the headline plus logos signalled the problem and target audience on sight. This was the fastest-working element on the page. --- ## 04 · What the personas said ### What the product actually is operationally, and how the modules differ, does not come… Five respondents could not tell whether the offering is data access, software, or a bundle, said module names blurred together, and found configurable controls, friction-right design and explainable AI unexplained. Architecture is scattered across product… > the volume of near-identical module names stacked on top of each other — "application fraud prevention," "ongoing compliance and financial crime risk detection," "real-time identity verification" all blur into each other on a first pass > > — Compliance Risk Manager, Insurance, 1001-5000 > configurable how, by whom, against what thresholds? And "ongoing monitoring" never says at what cadence or on what trigger events > > — Fraud Risk Manager, Banking, 501-1000 > it was repetition without specificity - five separate product blurbs ('Application fraud prevention', 'Good customer fast-tracking', 'Manipulated document screening' etc.) all circling back to the same phrases - 'UK's largest', 'real-time', 'risk appetite' - so I had to reconstruct the actual architecture (shared database plus decisioning layer on top) myself > > — VP of Fraud and Compliance, Banking, 501-1000 > SIRA gets called a "consortium," a "database," and a "platform" in different spots, so I genuinely can't tell if I'm buying data access, software, or both. > > — Senior Compliance Officer, Financial Services, 5000+ ### The post-onboarding problem arrives too late and carries no urgency Two respondents said the post-onboarding framing only becomes clear mid-page, and that the problem statement is timeless — no trigger explains why to act now. > I'd need a number with a date attached to it - something like 'fraud typology X rose 40% in the last two quarters' or a named regulatory deadline - instead of evergreen language like 'fraud risk develops across the customer lifecycle,' which reads true in any year > > — VP of Fraud and Compliance, Banking, 501-1000 > the "Fraud doesn't stop at onboarding" section is where the actual mechanism-level problem (risk emerging post-onboarding, false positives, operational pressure) gets spelled out properly, so I had to read a bit further than the headline to get the problem I actually care about > > — Fraud Risk Manager, Banking, 501-1000 ### The copy reads as generic fraud messaging, not insurance-specific Two respondents said the page speaks to fraud teams generally rather than insurance pain points, and one said it reads banking-focused despite the insurance logos. > I'd want a line naming insurance specifically alongside a false-positive or operational-pressure stat sized to an insurer, not just the generic banking/telecoms framing — right now the logos do the work but the copy itself speaks to "fraud teams" in general > > — Compliance Risk Manager, Insurance, 1001-5000 > the page feels like it was written for a banking-first audience with insurance logos stapled on > > — Senior Fraud Manager, Insurance, 1001-5000 ### Headline statistics are not believed without methodology, baseline or an insurance… Three respondents said the industry-wide savings figures lack methodology and baseline, and would need a POC showing measurable lift or an insurance-specific reference client before they counted as evidence. > But right now those are just headline stats with no methodology - 90% of what risk, measured how, over what baseline? Same with "£4.6m in annual bad debt savings" - one client's result isn't my result > > — VP of Fraud and Compliance, Banking, 501-1000 > I've been burned before by a vendor whose "cross-sector" numbers didn't translate to my loss ratios > > — Senior Fraud Manager, Insurance, 1001-5000 > But "£9bn fraud savings across public and private sector" is an industry-wide number, not mine - I'd want a POC showing what it finds against our actual book before I'd take this to committee, not just a sales meeting. > > — Director of Fraud Risk, Financial Services, 5000+ ### Every proof point is anonymous, which respondents said undercuts the differentiation claim Four respondents flagged that £9bn, 190+ and the £4.6m case study carry no attribution, methodology or time period, and asked for named UK bank or insurer references with before/after loss figures. > the case-study numbers (£4.6m bad debt savings, 90% risk capture, 1.7% drop in missed payments) aren't attributed to a named insurer or sized against an organisation like mine, so I can't tell if they're from a telecoms client or a bank five times our size > > — Compliance Risk Manager, Insurance, 1001-5000 > the "£9bn savings" and "190+ partners" numbers are unattributed, no time period or methodology, so I'd rule it out the moment a rival shows an actual gap-analysis case study with numbers > > — Senior Compliance Officer, Financial Services, 5000+ > the £4.6m "No Intent to Pay" quote and the "90% of risk" capture figure are both anonymous — no company name, no sector, no baseline stated > > — Fraud Risk Manager, Banking, 501-1000 ### Only two numbers survived the read: £9bn and 190+ One respondent retained nothing from the messaging except the £9bn savings and 190+ partner figures. Those are the numbers doing the recall work. > The £9bn savings and 190+ partner numbers are the only things that stuck, everything else was generic "stop fraud, protect genuine customers" filler. > > — Senior Compliance Officer, Financial Services, 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's entire evidence base is unusable in a buying conversation because nothing is attributable.** *(high)* Four respondents flagged £9bn, 190+ and the £4.6m case study as carrying no attribution, methodology or time period, and three separately demanded baseline or an insurance reference client before counting the savings figures as evidence. - **The only two things that stick are the two numbers nobody believes.** *(high)* One respondent retained nothing but £9bn and 190+, while seven across two themes rejected those same figures for lacking methodology, baseline and attribution. Recall is carried entirely by discredited claims. - **Positioning recall is doing the work that the product page should be doing, and it collapses the moment a buyer asks what they are actually purchasing.** *(high)* Six respondents could state back the consortium model, yet five could not tell whether the offering is data access, software or a bundle, with module names blurring and architecture scattered. Buyers understand the category, not the purchase. - **The insurance logos are the only insurance content, and they are contradicted by the copy around them.** *(high)* Three respondents said the headline and logo strip landed the audience instantly, but two said the copy speaks to fraud teams generically and reads banking-focused despite those logos. The fastest-working element sets up a promise the page breaks. - **The page gives a reader no reason to move, so even a convinced one stalls.** *(medium)* Two respondents said the post-onboarding problem only surfaces mid-page and the problem statement is timeless with no trigger to act now. Nothing converts comprehension into a next step. - **Differentiation rests on a claim the page never substantiates in the buyer's own sector.** *(medium)* Four respondents said anonymous proof points undercut differentiation and asked for named UK bank or insurer references with before/after loss figures, while three said an insurance-specific reference client is the precondition for belief. --- ## 06 · Who answered | # | Role | Industry | Company size | | --- | --- | --- | --- | | 1 | Director of Fraud Risk | Financial Services | 5000+ | | 2 | VP of Fraud and Compliance | Banking | 501-1000 | | 3 | Compliance Risk Manager | Insurance | 1001-5000 | | 4 | Senior Compliance Officer | Financial Services | 5000+ | | 5 | Fraud Risk Manager | Banking | 501-1000 | | 6 | Senior Fraud Manager | Insurance | 1001-5000 | | 7 | Director of Fraud Risk | Financial Services | 5000+ | | 8 | VP of Fraud and Compliance | Banking | 501-1000 | | 9 | Compliance Risk Manager | Insurance | 1001-5000 | | 10 | Senior Compliance Officer | Financial Services | 5000+ | | 11 | Fraud Risk Manager | Banking | 501-1000 | | 12 | Senior Fraud Manager | Insurance | 1001-5000 | | 13 | Director of Fraud Risk | Financial Services | 5000+ | | 14 | VP of Fraud and Compliance | Banking | 501-1000 | | 15 | Compliance Risk Manager | Insurance | 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 2026-10-05, then deleted along with the personas and their answers.