How to read these. Each brief leads with the one question the board should ask, grounded in what the engine measured. "Lab" and "lab-simulated" mark performance figures from controlled test conditions, not real-user field data. "Modeled" marks a derived estimate, stated as directional until first-party data sizes it. Every brief also states what the outside-in scan
cannot see, because knowing the boundary is part of the intelligence. Full method:
how every number is grounded.
Ford Motor Company
Motor Vehicles · NYSE: F
Audit confidence 76/100
EVAL 94 · A
Ford's funnel generates demand and then leaks it at Conversion, with a modeled ~10% conversion drag and a lab-simulated 15.12s page load. How much dealer-bound configuration and lead volume is Ford losing at the ford.com handoff, and who owns that web-to-dealership conversion as a revenue-accountable number rather than a marketing metric?
Forensic signal
Financial distress reads low at 23, but the leading driver is negative disclosure tone. Worth confirming which segment (for example EV losses or Ford Credit) is drawing the more negative language: it may indicate where management sees pressure the balance-sheet reading does not yet show.
Economic stakes
If the read is rightIf the modeled ~10% conversion drag reflects real handoff loss, Ford is handing dealers fewer, later leads than its traffic should produce.
Year oneConfigurator and lead-submission completions run below potential; the loss is unattributed. Sizing needs completion rates and revenue per web lead; only the drag is modeled outside-in, so this is directional.
Questions for leadership (2 of 5)
- Who owns web-to-dealer conversion as a revenue-accountable number?
- How does a lab-simulated 15.12s load affect real mobile shoppers' completion?
- Three further questions, including the competitive handoff benchmark, in the full dossier.
What this scan cannot see: configurator completion rates, web-to-dealer lead attribution, revenue per web-sourced lead. The value of the handoff lives in first-party data no external scan reaches, which is exactly where accountability should be established.
Carrier Global Corp
HVAC & Refrigeration · NYSE: CARR
Audit confidence 91/100
EVAL 94 · A
Carrier is the only company in its cluster whose funnel bottleneck sits at Conversion rather than Awareness, while carrier.com loads its main content in 21.66s (lab) and ships 11 MB, a combination the model ties to roughly 15% conversion drag. On a global HVAC lead-and-commerce funnel, how much booked pipeline is that drag erasing before a human ever engages?
Forensic signal
The related-party disclosure section changed 17% year-over-year, the largest shift, worth noting given post-spin structural ties. But distress is low (28/100) and the material commercial signal is the conversion-stage performance drag, so the forensic item is context, not the headline.
Economic stakes
If the read is rightIf a 21.66s (lab) load is driving ~15% modeled conversion drag at a conversion-stage bottleneck, Carrier is losing large absolute volumes of quote and dealer leads before any human contact.
Year oneMeasurable lead loss at the quote and dealer-locator step. Directional: the ~15% is modeled and needs first-party conversion data to size in revenue.
Questions for leadership (2 of 3)
- What is the actual conversion rate by device on our quote and dealer-locator flows, and what revenue rides on it?
- Why does carrier.com take 21.66s (lab) to render main content and ship 11 MB at a conversion-stage bottleneck?
- One further question on dealer routing yield in the full dossier.
What this scan cannot see: device-level conversion rates, revenue per digital conversion, dealer-routing yield on abandoned leads. The model localizes a last-step leak; only first-party data turns ~15% into a dollar figure.
Cardlytics, Inc.
Ad Platforms · NASDAQ: CDLX
Audit confidence 87/100
EVAL 94 · A
Cardlytics' advertising reach is rented from a small number of large bank partners, its MD&A is the most-rewritten disclosure section (12% year-over-year) and its tone is sharply defensive (net tone -7.49). Is the board certain the story being re-told is not partner-concentration risk, while a 5.36s (lab) page load and 4.5s of main-thread work tax the one first-party surface it fully owns?
Forensic signal
MD&A as the most-changed section (12%), combined with defensive tone (-7.49) and hedging, points to management re-telling the revenue story, in exactly the section where partner-concentration economics would first appear, rather than a one-off event.
Economic stakes
If the read is rightIf revenue and reach are concentrated in a few bank partners, any single renewal materially reprices Cardlytics' advertiser value.
Year oneValuation tracks partner-renewal sentiment more than product. Directional: requires partner-concentration and renewal data.
Questions for leadership (2 of 3)
- What share of reach and revenue depends on our top two or three bank partners, and when do they renew?
- Why does our own advertiser-facing site load in 5.36 seconds (lab) with 4.5s of main-thread work?
- One further question on the MD&A narrative shift in the full dossier.
What this scan cannot see: revenue and reach concentration by partner, renewal timelines and terms, advertiser sensitivity to partner loss. Disclosure signals point at revenue-driver risk; only partner-level data confirms it.
Carvana Co.
Online Auto Retail · NYSE: CVNA
Audit confidence 76/100
EVAL 91 · A
Carvana's weakest funnel stage is Consideration, where technical debt (modeled ~3% conversion drag) and flagged trust signals may be eroding customer confidence. How does it address that bottleneck to improve conversion and sustain its position against CarMax and Vroom?
Forensic signal
The Consideration-stage bottleneck is linked to elevated technical debt (modeled ~3% conversion drag) and flagged trust signals: JavaScript console errors and deprecated APIs on the live site. These frictions are measurable and actionable.
Economic stakes
If the read is rightConversion rates remain suppressed, leading to revenue loss and competitive vulnerability against CarMax and Vroom.
Year oneRevenue loss in the tens of millions if the modeled ~3% conversion drag persists. The impact estimate is directional and requires validation with first-party data.
Questions for leadership (2 of 4)
- What is the quantified impact of technical debt and trust-signal issues on Consideration-stage drop-off rates?
- How does Carvana's digital experience compare to CarMax and Vroom on speed, reliability, and trust?
- Two further questions on remediation cost and timeline in the full dossier.
What this scan cannot see: actual drop-off rates by funnel stage, remediation cost, and internal roadmap priorities. The drag is modeled outside-in; first-party analytics size it.
Flutter Entertainment plc
Online Gaming · NYSE: FLUT
Audit confidence 79/100
EVAL 91 · A
Flutter's GTM engine scores a strong 73/100 on measurement, yet Awareness is the weakest funnel stage and the top financial-distress driver is litigious and regulatory language. Is Flutter's real growth ceiling set by tightening gambling-advertising rules market by market rather than by marketing execution, and who owns the link between regulatory exposure and acquisition cost?
Forensic signal
The top financial-distress driver is litigious and regulatory language in filings even though the distress index reads a low 29 and the trajectory is stable. Regulatory exposure is a live disclosure theme while the balance sheet reads calm; the divergence is the finding.
Economic stakes
If the read is rightThe next growth dollar should fund regulatory-market-access strategy, not funnel optimization. If awareness is capped by advertising restrictions, spending against the cap buys progressively less.
Year oneTop-of-funnel spend delivers softening incremental actives in mature regulated markets.
Questions for leadership (2 of 5)
- In which markets is top-of-funnel awareness limited by advertising regulation rather than by budget?
- What is CAC by jurisdiction, and where is it rising fastest against approved reach?
- Three further questions on regulatory ownership and jurisdiction strategy in the full dossier.
What this scan cannot see: CAC by jurisdiction, internal regulatory-affairs pipeline, and market-level marketing allocation. The disclosure divergence is measured; the causal link to acquisition economics needs internal data.