Your Marketing System Leaks

Not dramatically. Not all at once.
Every drop is revenue that left without telling you.

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No credit card. Five minutes. Nothing to install.

01 / The shape of the problem

Think of it as plumbing

Your marketing system is like the plumbing in your building. A single leak is small enough to ignore. But multiplied, they drop the pressure everywhere — and the real cost was never the water you lost. It's what the water did on the way out.

01

Pressure drops everywhere

A leak in one pillar doesn't stay there (we measure ten). Broken attribution starves budget decisions. Weak discoverability starves the funnel that attribution was measuring.

02

The damage outlives the loss

Six months of spend allocated against incorrect numbers isn't just a measurement problem — it's a strategy built on a bad map.

03

You find out late, or never

Leaks don't send you a notification. They present as performance. The dashboard is green because the dashboard still detects flow through the broken pipe.

02 / What it costs

Leaks = lost revenue

None of these are edge cases. Every one is a documented default state across the industry — the condition a system drifts into when nobody is measuring it.

49%
Martech utilisation. Roughly half the stack you are paying for is not being used — while martech runs about 22% of total marketing spend.
Gartner 2025 Marketing Technology Survey · gartner.com We detect this — redundant tools, and tools installed with no observable usage signal.
30–50%
Where we have had access to check, that is the gap between platform-reported conversions and independently verified ones. Duplicate events inflate the count. The numbers look fine. The data isn't.
Yellowhead Digital — our own audit findings across client engagements. A pattern we see consistently, not a figure from a single study. We detect this — multi-tool measurement disagreement, duplicate conversion events.
52%
Of mobile sites fail Core Web Vitals. Every one of those pages is losing people between the click you paid for and the page you sent them to.
Web Almanac 2025, on Chrome UX Report field data · almanac.httparchive.org We detect this — LCP, INP and CLS on your live pages.
42%
Of domains with DMARC are actually at enforcement. The rest publish p=none — monitoring only. The box is ticked. The domain is still spoofable.
Valimail, 2026 State of DMARC Report · valimail.com We detect this — DMARC, SPF and DKIM policy, from public DNS.
60%
Of sites offering “Reject all cookies” do not honour it — trackers fire before consent is given. The banner is real. The compliance isn't. The cost here is regulatory, not analytical: you are not getting better data, you are accruing liability.
Automated consent audits, 2023–2025, via CMSWire · cmswire.com We detect this — whether your tags wait for the consent state.
5+
The number of advertising and analytics vendors that continued to receive first-party data after opt-out. A sizeable leak found in half of 450 sites audited. The worst site was still feeding 139 vendors.
Tag Inspector by InfoTrust, audit of 450 US websites · infotrust.com We detect this — the full third-party tag inventory on your pages.

03 / Why it gets worse

Leaks compound

Leaks don't add up. They multiply. Five losses that each look survivable in isolation stack into one that isn't — and because each stage only ever sees what the stage above it passed down, no single dashboard shows the total.

Illustrative model · 100 units of demand entering the system Survives to revenue: 44.6
They never find you Search engines and AI assistants can't parse what you do, so you never enter the shortlist. −12% · assumed · we detect this
88.0
The clicks aren't people You paid for traffic that was never a human with intent to buy. −8.5% · measured · not ours
80.5
The page loses the visitor A real buyer arrives, waits on a slow load or hits a hostile form, and leaves without enquiring. −20% · assumed · we detect this
64.4
The enquiry goes unanswered The lead lands in an inbox and nobody replies — or somebody replies two days later, to a buyer who has moved on. −23% · measured · not ours
49.6
The reply never lands Somebody does answer, and unauthenticated mail from your domain gets filtered before it is read. −10% · assumed · we detect this
44.6
…and the meter is leaking too Every number above would have to come from your analytics, consent and attribution layer — and that layer is wrong in both directions at once. Consent that works as intended, plus ad blockers and browser tracking prevention, means your analytics never saw a share of your real visitors: you are under-counting demand. Duplicate conversion events then inflate what is left by 30–50%: you are over-counting results. You cannot audit a system using the instrument that is under audit. we detect this

Read the tags. we detect this means the Diagnostic measures that stage on your site — but the percentage next to it is a placeholder. Replacing those three assumptions with your actual numbers is the entire job.

not ours means the figure is real and sourced but outside what we detect: 8.5% of paid clicks are invalid traffic (Lunio 2026 Global Invalid Traffic Report, 2.7B clicks analysed) and 23% of inbound leads never get a reply at all, with a 42-hour average response time across the rest (Harvard Business Review, audit of 2,241 companies). They are in the model because they are real, and flagged because they are not ours to fix: invalid clicks are a third-party platform problem, and replying to your leads rests with you.

Not one of these five felt like a failure while it was happening. That is the defining property of a leak: it presents as performance, not as failure.

04 / What happens next

Now you're pointing agents at it

The question isn't whether AI agents will operate inside your marketing stack. They already are — your ad platforms, your CRM, and your email tools all added autonomous optimisation whether you deployed it or not.

If your tracking is silently broken, an agent optimising against that tracking is optimising toward the wrong outcome — faster.

01

Automation scales the error

A human reallocating budget against bad attribution does it quarterly. An agent does it hourly, with more conviction, and writes a confident summary about it.

02

Agents can't route around it

A person hits a broken form and emails you instead. An agent hits it, fails, and leaves. Infrastructure built only for human patience has no fallback.

03

The leaks become the training signal

Feed a system six months of measurements taken through a broken pipe and the distortion stops looking like an error. It looks like the baseline.

05 / The fix

Find your leaks in one pass

Our Diagnostic independently analyses what's actually detectable from the outside — no logins, no access, no install.

The ten pillars — each scored independently

  • Attribution Tracking & measurement accuracy
  • Tech-Stack Tool efficiency & agentic readiness
  • Conversion Forms, CTAs & checkout flow
  • Trust & Security Legal, privacy & security
  • Brand Voice, sentiment & content quality
  • Marketing Strategy, audience & campaigns
  • Advertising Paid media spend & ROAS
  • Competitors Market positioning
  • Product Offer clarity & value proposition
  • Discoverability Web, SEO, AEO & GEO

Ten pillars, scored independently

Every pillar gets its own score from detected signals — DNS, headers, tags, sitemap, robots, public profiles, AI-crawler visibility.

Perception vs. reality, side by side

Each Diagnostic shows where your self-assessment and the detected reality disagree most — that's your blind spot.

A prioritised list, not a PDF graveyard

Findings come out as action items you can triage, assign, and verify on the next run. Fixed is a state, not an opinion.

Your marketing system is
leaking right now.

Five minutes to find out where.

Start your free Diagnostic

Rate your own marketing system. Our AI analyses the reality. See the delta. Find the leaks.

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Results are based on publicly available signals. Accuracy is high for detectable elements; some findings will need context only you have.