Skip to main content
consent modelling misunderstoodDiagnosis and fix

What is consent modelling actually doing to my numbers?

Modelled conversions are estimates Google produces for the users who denied consent, using patterns from users who granted it. They are not observed events and they are not invented — they are a statistical fill for a known gap, and they only appear when consent signals are implemented correctly and there is enough volume to model from. If modelling never appears, the usual cause is missing ad_user_data rather than low volume, and the practical effect is that your reports show only the consented subset while your ad spend covers everyone.

Free30 minutesNo obligation

consent modelling misunderstood · what breaks

What this looks like when it's happening to you — consent modelling misunderstood

  1. 01

    Decimal conversion counts

    Which look like an error and are the mechanism working.

  2. 02

    No modelled data appearing at all

    Usually a signals problem.

  3. 03

    Numbers that don't reconcile to observed events

    Because part of them is estimated by design.

consent modelling misunderstood · the fix

What changes once it's fixed — consent modelling misunderstood

  • An informed reading of your reports

    Knowing which part is observed and which estimated.

  • Modelling actually functioning

    Rather than silently absent.

  • Realistic reconciliation expectations

    You cannot match modelled numbers to your backend exactly, and shouldn't try.

consent modelling misunderstood · architecture

Why your conversion data was wrong in the first place — consent modelling misunderstood

Fixing this specific fault is worth doing. But it is worth understanding why it happened, because the same underlying weakness produces a different symptom every few months — and the reason your conversion data is wrong is almost never the tag itself.

  1. 1

    Your conversion depends on a browser that is being restricted on purpose

    A browser-side tag has to survive the page loading, the visitor staying, the script executing and the request leaving. Every one of those is now contested. The order in your database is certain; the browser event reporting it is not, and that gap is where wrong numbers come from.

  2. 2

    Safari caps the cookie your attribution depends on

    Intelligent Tracking Prevention limits cookies written by JavaScript to seven days, whatever expiry you set. Any customer who takes longer than a week to decide comes back as a stranger, so the sale is recorded and credited to nobody. A cookie your own server writes in an HTTP response is not subject to that cap — which is the single largest practical difference between browser-side and first-party server-side tracking.

  3. 3

    Ad blockers remove the tag before it can run

    A blocked pixel does not error, retry or warn anyone. The visitor buys, the order lands in your store, and no platform ever hears about it. First-party events sent from your own subdomain aren't filtered the same way, because they are not a third-party request.

  4. 4

    Consent banners stop tags, sometimes when they didn't need to

    Where consent is genuinely required, losing the event is correct. What is not correct — and what we find repeatedly on US-majority accounts — is an EU-style prior-consent banner applied to every visitor, discarding conversions no law asked you to discard. A server container enforces the real decision at the container rather than hoping each vendor script honours a flag.

  5. 5

    The checkout can end somewhere your tag isn't

    Wallets and hosted payment pages can be abandoned after the money moves. The customer paid; the confirmation page never rendered; the browser event never fired. Sending the purchase from the order record instead means the conversion arrives whether or not anyone came back to your site.

  6. 6

    What that adds up to

    Each of these is a separate route to consent modelling misunderstood, and they compound. First-party server-side tracking doesn't patch them one at a time — it moves the money event off the browser entirely, so the order in your backend is what gets reported. That is why we reconcile against your own order records and put 95%+ accuracy in writing: with the event sourced from the order, the number is checkable rather than hopeful.

consent modelling misunderstood · normal or broken

Some of this is supposed to happen — consent modelling misunderstood

Half the time nothing is broken and the number is being read wrong. Knowing which is which stops you paying to fix something that was never a fault.

Normal, not a fault

  • Decimal conversion values

    Modelling produces fractional estimates. Not a bug.

  • Modelled numbers not reconciling exactly

    They're estimates. Reconcile on observed data.

  • Modelling absent at low volume

    A genuine threshold, not always a fault.

Actually broken

  • Missing ad_user_data

    The most common reason modelling never appears.

  • Insufficient volume

    Modelling needs a threshold to work from.

  • Defaults declared too late

    No starting state to model against.

  • Hard blocking instead of Consent Mode

    No cookieless pings, so nothing to model from at all.

consent modelling misunderstood · diagnose

How we find out why what is consent modelling actually doing to my numbers

Always in this order. Each step eliminates a class of cause, so by the last one there is usually a single explanation standing.

  1. 01

    Check whether modelled conversions appear

    Their absence is the finding.

  2. 02

    Confirm all four signals in default and update

    ad_user_data especially.

  3. 03

    Check whether cookieless pings are sending under denial

    Hard blocking sends nothing.

  4. 04

    Check volume against the modelling threshold

    Low-volume accounts may genuinely not qualify.

  5. 05

    Separate observed from modelled in reporting

    Before comparing anything to your backend.

consent modelling misunderstood · prove

How we prove it's actually fixed — consent modelling misunderstood

The tag firing again proves the tag fires. These prove the numbers are right.

Source of truth

The observed subset of conversions, reconciled against your backend

  • All four consent signals present in default and update calls.
  • Cookieless pings confirmed sending under denied consent.
  • Modelled conversions appearing in Google Ads and GA4.
  • Observed and modelled separated in reporting, so reconciliation uses the observed subset.
  • Reconciled against the observed subset of conversions, reconciled against your backend for a fully closed window, matched on ID rather than on totals.
  • No record counted twice, checked across the whole window rather than spot-checked.
  • The same check repeated 30 days later, because a fix that holds once and drifts is the harder failure to catch.

consent modelling misunderstood · free audit

What we check in the free audit

  • Check whether modelled conversions appear
  • Confirm all four signals in default and update
  • Check whether cookieless pings are sending under denial
  • Check volume against the modelling threshold
  • Separate observed from modelled in reporting

Checked against

The observed subset of conversions, reconciled against your backend

Get my free conversion tracking audit

Free30 minutesNo obligation

consent modelling misunderstood · when not to buy

When you don't need us for this — consent modelling misunderstood

Most of these you can do yourself, and we would rather you did.

  • You have no consent banner and no denied traffic, so there's nothing to model.
  • Your volume is below the modelling threshold and no configuration changes that.
  • You already separate observed from modelled and reconcile correctly.

consent modelling misunderstood · what we deliver

What we do about it — consent modelling misunderstood

  • All four consent signals wired

    Modelling depends on them, especially ad_user_data.

  • Defaults declared before any tag

    So Google always has a starting state.

  • Reconciliation done on observed data

    Where you need an exact match, use the observed subset.

Pricing

Pick the package that fits your ad spend

Browser-side starter

$400One-time fee · lifetime ownership

We fix the fault in your existing browser-side setup and verify it on a live transaction. Honest disclosure: this repairs what you have, it does not make it durable. If you spend $1K+/month on paid media, the fault will recur the next time Safari, a consent banner or a checkout change moves under you — the server-side tier is what stops that.

  • Root cause found and fixed, not worked around
  • Verified on a live transaction, not in preview
  • Reconciled against your own order records
  • Written handover documenting what changed and why
Fix what I have

1st-party server-side

Recommended

$800One-time fee · most popular

The tier that removes the whole class of failure rather than this instance of it. Your money events stop depending on the browser: they are sent from your order records through a first-party server container on your own subdomain, so iOS, ad blockers, consent banners and interrupted payment redirects can no longer take them away. Built in 2–4 days. You own the stack outright — no monthly SaaS.

  • First-party server container on your own subdomain
  • Purchases sent from your order records, not the browser
  • Meta, Google, TikTok, Microsoft and LinkedIn all fed server-side
  • Deduplicated on a shared event ID, verified at every destination
  • First-party cookies beyond Safari's 7-day cap on JavaScript-set cookies
  • 95%+ conversion accuracy and 8+ Meta EMQ, guaranteed in writing
Rebuild it server-side

Full 1st-party stack

$1,800One-time fee · lifetime ownership

Every paid-media channel server-side, end to end, plus the offline loop. For advertisers whose spend makes an attribution leak more expensive than the build. Pay once, own everything.

  • Everything in 1st-party server-side
  • Pinterest, Snapchat, Reddit and LinkedIn CAPI
  • CRM and offline conversion loop, so closed revenue reaches bidding
  • Refunds and cancellations reversed at every destination
  • Klaviyo identity stitching, BigQuery and Looker Studio
  • Monitoring, so the next break surfaces in days rather than a quarter
Get the full stack

FAQ

consent modelling misunderstood questions, answered

They're estimates of real conversions Google couldn't observe because consent was denied. Not observed events, not fabrications — a statistical fill for a known and measurable gap.

Free · 30 min

Get consent modelling misunderstood diagnosed properly

Free30 minutesNo obligation