Paid Social and Meta Ads
Paid social measurement
Within Paid Social and Meta Ads, this is the piece that measure a channel the platforms systematically over-report on.
What is Paid social measurement?
Measure a channel the platforms systematically over-report on. In practice that means reconciling platform-reported conversions against actual revenue, and then the harder half: incrementality testing where spend justifies it.
Why this work exists
By the time this becomes visibly urgent, the cheap window for fixing it has closed.
It belongs to Paid Social and Meta Ads and is described here because it is the piece clients recognise and ask for.
The nearest piece of work to it is shooting for the placement rather than cropping for it afterwards. Where that is already handled, this moves faster than the estimate; where it is not, the two get done together or neither of them holds.
What good looks like
The measure of a good one is how quickly somebody can disprove it.
The gap between that and where most accounts start is why this is scoped as Paid social measurement rather than as a line inside something larger. Working out whether the retargeting is finding people or following them is the usual second step once it is in place.
When this is the right work
What tells you to start here:
- Platform-reported revenue exceeds total company revenue
- Every channel claims the same conversions
- Nobody has tested whether the spend is incremental
If none of those is true, something else is probably the constraint, and the Paid Social and Meta Ads overview maps the alternatives. The usual neighbours are testing the offer before testing the headline that describes it and finding the lead form that fills fast and converts never.
What the work covers
Set out as tasks:
- Reconciling platform-reported conversions against actual revenue, the step where disagreements surface, which is why it goes early rather than late.
- Incrementality testing where spend justifies it. Straightforward in principle; the detail is where it stops being quick.
- Blended measurement alongside platform attribution rather than instead of it. This is the piece a client can verify themselves, which matters more than it sounds.
- Attribution window configuration understood rather than defaulted. Worth doing badly rather than not at all, if time is short.
How it runs
What happens, in the order it happens.
Checking it held
Changes get re-checked after a fortnight, because a surprising number of them do not survive the next deployment or the next platform update.
Handing it over
Whatever is left running ends up with a named owner and a schedule, or it stops happening within two months.
Agreeing the measure
The number this will be judged on is fixed before the work starts. Agreeing it afterwards is how both sides end up disappointed.
What each part runs into
In practice each of those four runs into something specific:
- Reconciling platform-reported conversions against actual revenue – in Dubai, complicated by the fact that an incumbent whose position comes from presence rather than effort
- Incrementality testing where spend justifies it, which in Birmingham runs into a buying pattern that resolves faster than the reporting cycle
- Blended measurement alongside platform attribution rather than instead of it: the Houston version of this has to deal with a sector mix that pulls the brief in several directions
- Attribution window configuration understood rather than defaulted, where a Sydney engagement contends with a seasonal peak that arrives before the content is indexed
What not to do
Adding up each platform’s reported conversions. Every platform claims credit on its own attribution, so the total exceeds reality, sometimes absurdly.
The damage is less in the wasted work than in the conclusion it leads to.
How it is measured
Blended cost per acquisition and incrementality where tested. The measure is specific on purpose: a headline figure that cannot move inside the engagement is not useful.
The figure moves slowly at first. Reading too much into week three is the commonest way this gets abandoned early.
What you end up with
What you can point at afterwards is reconciled measurement with platform figures contextualised and incrementality tested where it matters.
Scoped so the first action can be taken the same week it arrives.
How it differs by sector
By sector, the same scope produces different priorities:
- SaaS and technology: the thing that changes the scope here is that product-led companies where the buyer self-educates and the trial is the sales call.
- For Home and trade services, emergency intent, service-area geography, and a phone that has to be answered. and that shapes how far this can go.
- Travel and hospitality brings its own limit: aggregators hold the demand, so direct booking depends on being the specific named property.
The industry pages carry the rest of that detail. SaaS and technology and Home and trade services are the two where this piece of work most often decides the outcome.
Common questions
Why do platform-reported conversions exceed real sales?
Because each platform counts conversions it believes it influenced using its own attribution window and view-through settings, and several platforms claim the same sale. Adding them up double-counts by construction. The reconciliation is against the finance figure, which is the only unduplicated number.
How do you test whether paid social is incremental?
A geographic holdout or a scheduled pause, measured on total business revenue rather than on platform metrics. It is the only reliable way, it requires enough volume for the result to be readable, and the answer is often uncomfortable, which is why the test is so rarely run.
What do you need from us?
Access to the measurement and to whoever knows the history. Most of the delay on work like this comes from waiting for access rather than from the work itself. Two of these come up often enough to be worth reading first: Ecommerce SEO in Ajmer and Entity and Semantic SEO in Ajmer.
Is the output a report or a change?
Both, in that order. Reconciled measurement with platform figures contextualised and incrementality tested where it matters. The report exists so the change is accountable, not instead of it. Digital PR campaigns is the part that scales. Link gap analysis is the part that never will.
How do we know this is the right piece of work?
The signals above are the test. If none of them describes your situation, something else is the constraint, and saying so is more useful than selling this. If the brief is still open, Leeds and London are the two that change it most often.
Ask about paid social measurement
A sentence about the problem beats a filled-in form. We read every one of these ourselves.
Ask us the question you cannot get answered
Bring the numbers you have. We will tell you which ones are measuring the wrong thing before we suggest anything new.