The referee with a team in the game.
Choose Google's attribution when you want in-platform optimization signal: 'which Google campaign should I scale inside Google Ads?' Choose Causality Engine when the question is cross-channel: how much of the revenue Google is claiming was actually incremental, and how much would have happened anyway.
€99 once, excl. VAT. Keep Google Ads; use us as the causal second opinion.
Same question, different answer. Often the opposite answer.
- Google Ads answers
- What did Google-mediated touches contribute?Data-driven attribution, Google's window, Google's data
- Causality Engine answers
- What was incremental across all channels?Causal inference next to last-click, no platform conflict
| Compared on | Causality Engine | Google Ads |
|---|---|---|
| Whose touches? | All channels in your GA4 | Google-mediated only |
| Conflict of interest? | None (no ad budget) | Yes (Google sells the inventory) |
| Deduplicates cross-platform credit? | Yes | No (each network counts independently) |
| Price | €99 per read · €299/mo ProExcl. VAT | Free (folded into ad spend) |
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.
Google Ads ships data-driven attribution natively. The catch is structural: Google is a self-attributing network. It only sees and scores touchpoints it mediated, inside the conversion windows it picked, and it has an ad budget to defend. When Meta, TikTok, and Google all claim the same sale, none of them deduplicate.
Causality Engine has no ad budget. We're the independent causal referee. We show what each channel in your GA4 history caused, deduplicate the overlapping credit, and set it next to last-click.
Which one is the right call for your situation.
Choose Google's attribution when
you want in-platform optimization signal: 'which Google campaign should I scale inside Google Ads?' That's a fair question for an in-platform tool to answer.
Choose Causality Engine when
the question is cross-channel: how much of the revenue Google is claiming was actually incremental, and how much would have happened anyway. The platforms can't answer that; an independent causal read can.
Take it to your CFO.
Google's attribution costs nothing because it's folded into the spend, and that's exactly the problem. A €99 independent causal read tells you whether the platform's numbers are real before you scale them.
The questions buyers ask about us vs Google Ads.
Does Causality Engine replace Google Ads attribution?
No. Use Google's attribution for in-platform optimization. Use our causal read to validate that the platform-reported revenue is incrementally real before you make a budget decision.Do I need Google Ads to use you?
No. We run on your GA4 export, which already has Google Ads data in it (if you advertise on Google).
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.
The free finding runs in your browser. Your file never leaves it. The full read is €99, refundable within 30 days, no questions asked. Prices exclude VAT.
Rather talk first? Book a 30-minute call.