The short answer
If your creator reporting is built on views, likes and the promo-code redemptions that followed, you do not yet know whether the spend created demand or simply collected it. Those numbers tell you that people who were already going to buy saw a post first. The question worth answering — did this budget bring in buyers who would otherwise not have arrived — needs a different measurement design, and it has to be decided before the campaign runs, not after.
That is the gap the trade press has started naming out loud. Writing on 3 October 2026, Communicate argued that as budgets shift toward creators in the Gulf, the category still struggles to show it generates new demand rather than redirecting interest that already existed. For anyone signing a creator budget in Riyadh this quarter, that is not an academic problem. It is the difference between a line item you can defend and one you cannot.
Why the usual numbers cannot answer the question
A creator campaign is unusually good at attracting people who were already close to buying. The audience self-selects: they follow the creator, they are interested in the category, and many of them already know your brand. So when the post goes out and sales move, the attribution tooling faithfully reports a win — and cannot tell you how much of that movement would have happened anyway.
Three specific habits make this worse:
- Promo codes measure redemption, not persuasion. A code tells you someone used a discount. It does not tell you whether they needed the creator to decide.
- Last-click gives the credit to the final step. Creator content usually sits early in a decision, so it either gets no credit or gets all of it, depending on where the link lands.
- Comparing campaign weeks to quiet weeks compares seasons. Ramadan, a salary week, a competitor's launch and a school holiday all move baseline demand more than most creator programmes do.
None of these are wrong, exactly. They are just answering an easier question than the one the budget is being judged on.
Views tell you the post was delivered. Incrementality tells you whether it changed anything.
What measuring the lift actually requires
Incrementality means comparing what happened against a credible estimate of what would have happened without the campaign. In practice there are three routes, and they trade cost against certainty.
- A geographic holdout. Run the programme in some cities and deliberately not in others, then compare. This is the most defensible design available to most advertisers, and in Saudi Arabia it is genuinely practical — Riyadh, Jeddah and the Eastern Province differ enough to be interesting and are similar enough to compare. The cost is that you knowingly leave some demand untouched.
- A platform-run lift study. The large platforms will hold back a slice of your audience and report the difference. It is the cheapest route and needs the least operational discipline. The limit is that it measures lift inside that platform's own environment, on that platform's definitions.
- A pre/post model with controls. Statistically model the baseline from history, seasonality and competitive activity, then measure the deviation. Useful when a holdout is impossible. Weakest of the three, because the answer depends on how good the model is and there is no clean counterfactual.
The important thing is that all three require a decision before launch. A holdout you did not design cannot be reconstructed afterwards, and a lift study cannot be run retroactively on a campaign that has already delivered.
The trade-off nobody mentions
Measuring properly costs reach. A holdout means some of your audience sees nothing, and a platform lift study means a slice of your paid audience is deliberately unexposed. You are buying certainty with volume.
That trade is worth making when the decision in front of you is large or repeated — whether to move a meaningful share of budget into creators, whether to renew a programme, whether one format genuinely outperforms another. It is not worth making on a one-off activation where the answer changes nothing. A small test that produces an unreadable result is the worst outcome of all: it costs reach and buys no confidence.
What to settle before you sign
Most creator programmes that end in an argument about effectiveness were set up to end that way. These are the questions to force into the brief:
- What decision will this measurement inform? If no decision depends on the answer, measure cheaply and move on.
- What is the single primary outcome? New customers, qualified enquiries, trial, basket size — one of them, named in advance.
- What is the baseline, and who agreed it? Written down before launch, by whoever will later judge the result.
- Is there a holdout, and where? Which cities, which audience slice, and who is accepting the reach cost.
- How long after the last post does measurement continue? Creator content keeps working for weeks; a window that closes on the final post will understate it.
- What result would make us stop? If there is no number that would end the programme, the test is decoration.
Where the content itself comes in
There is a second-order effect worth knowing about. Incrementality is harder to detect when the creative is interchangeable. If a creator's post is functionally the same message the brand is already running in paid media, the audience has encountered it before and the lift is small and noisy. Content that does something the rest of the plan does not — a demonstration, an unglamorous use case, a genuine point of view — produces a clearer signal precisely because it is not duplicating existing pressure.
This is why we treat creator planning and content planning as one conversation rather than two. Deciding the measurement design tells you what the content has to do differently, and deciding what the content does differently tells you whether the measurement will be able to see it. Run those separately and you often end up with a well-instrumented test of a message the audience had already absorbed.
If you want the mechanics of why some of this content holds attention and some does not, what makes people stop scrolling and watch covers the first-second problem in more detail.
The practical position
You do not need a research function to stop guessing. You need to decide, before the budget is committed, which of the three routes above you are using, what the primary outcome is, and what reach you are willing to give up to get a readable answer. Most advertisers in this market are not doing that yet, which means doing it is still a real advantage rather than table stakes.
Our social media team plans creator programmes with the measurement design settled first, alongside the media and performance side that has to read the result. If you are deciding how much of next year's budget belongs with creators and want a view on how to prove it either way, talk to us — we would rather help you design a test you can trust than a campaign that reports well.