Run the experiment, or read the history.
Choose Measured when you have the budget, the spend scale to power a geo test, and a measurement team that will run a formal programme. Choose Causality Engine when you want an answer this week rather than next quarter, you cannot justify an enterprise contract to find out, or you need to know about the spend you have already made.
€99 once, excl. VAT. Keep Measured; use us as the causal second opinion.
Same question, different answer. Often the opposite answer.
| Compared on | Causality Engine | Measured |
|---|---|---|
| Question answered | What did each channel cause? | What did this channel cause, in this test? |
| Method | Causal inference on existing GA4 history | Geo holdout experiment (prospective) |
| Evidence strength | Observational, graded by a data-health score | Experimental, stronger when well powered |
| Spend paused to learn | None | Yes, in the holdout regions |
| Time to first number | 1–2 minutes | 4–8 weeks per test |
| Price | €99 per read · €299/mo ProExcl. VAT | Enterprise contract, quoted via sales |
| Covers past spend | Yes, any period already in GA4 | No, only the window you test |
Competitor pricing is each vendor's publicly listed pricing as read on the date shown, and it changes without notice: verify on the vendor's own site before relying on it. Vendors without a public price are marked as such. Comparisons set Causality Engine's one-time €99 analysis against subscription models.
The short version. What each one is for.
Measured is a serious incrementality platform. It runs geo-based holdout experiments: hold spend back in matched regions, keep it running elsewhere, and measure the difference in outcomes. That is a real experiment, and a well-designed geo test is the strongest evidence of causal lift a marketer can buy. We are not going to pretend otherwise.
The trade is cost, latency, and what you have to give up to get the answer. Measured is enterprise-priced and quoted via sales, each test takes roughly four to eight weeks, and the method requires deliberately withholding spend in some regions. You also learn about the window you tested, not the year you already spent.
Causality Engine answers the same question from the opposite direction: causal inference over the GA4 history you already have. No experiment to design, no spend to pause, no region to sacrifice. A per-channel causal read, next to last-click, in 1 to 2 minutes, for €99.
Which one is the right call for your situation.
Choose Measured when
you have the budget, the spend scale to power a geo test, and a measurement team that will run a formal programme. If a nine-figure media plan turns on the answer, buy the experiment. Observational inference is not a substitute for a properly powered randomised test, and anyone who tells you otherwise is selling something.
Choose Causality Engine when
you want an answer this week rather than next quarter, you cannot justify an enterprise contract to find out, or you need to know about the spend you have already made. It also works as the cheap first pass: run a €99 read to find which channels look non-incremental, then spend the geo-test budget confirming only those. That sequencing costs less and tests the right things.
Take it to your CFO.
An enterprise contract quoted via sales, with a four-to-eight-week wait for the first answer, versus €99 on a card with the answer in two minutes. If the €99 read and the geo test disagree, that disagreement is itself worth knowing, and you found it for €99.
The questions buyers ask about us vs Measured.
Is a geo holdout test more accurate than causal inference on GA4 data?
A well-designed, adequately powered geo test is the stronger evidence, because randomisation removes confounders rather than adjusting for them. Causal inference on observational history is bounded by the assumptions in the model, which is why our read grades itself with a data-health score on every channel. The practical question is not which is theoretically better but which you can actually run: a test you cannot afford or power teaches you nothing.Can I use Causality Engine and Measured together?
That is the sequencing we would recommend if you have both budgets. Use a €99 causal read across all channels to find the candidates that look non-incremental, then spend the geo-testing budget confirming those specific channels. Testing everything is expensive; testing the suspects is not.Do I have to pause ad spend to use Causality Engine?
No. That is the main operational difference. Geo holdouts require withholding spend in some regions to create a control group. We infer the counterfactual from your existing GA4 history, so nothing has to be turned off and no revenue is deliberately foregone to produce the measurement.How much does Measured cost compared to Causality Engine?
Measured is enterprise-priced and quoted via sales; it does not publish a price list. Causality Engine is €99 per causal read with no subscription, or €299/mo for Pro. The gap in commitment is why the two tend to serve different-sized brands.
Your platforms guess.
We run the math.
Upload a GA4 export and see what each channel caused, next to last-click, in 1–2 minutes. The read is yours to keep.
Free, in your browser: your file is not uploaded. The full read is €99, refundable within 30 days. Prices exclude VAT.
Or book a 30-min call.