GA4 doesn't know.
We do.
Upload any historical period from your GA4 export.
Get per-channel causal insights in 5–10 minutes. €99, pay-per-use.
Proprietary causal-inference model. No pixel. No SDK. No AI hype.
Works with the stack you already use
See your attribution data, live
Explore a real Causality Engine dashboard with sample data. Enter your work email to get instant access.
We'll send you a link to save your demo session. No spam.
This is built for a very specific brand. Is it yours?
We don't serve everyone. We built a precision instrument for one type of e-commerce operator. If this list doesn't describe you, we just saved you a click.
You use GA4.
Even if you secretly hate what it tells you.
You do €10k+ revenue per month.
Real revenue. Real ad spend. Real decisions to make.
You run more than 4 active marketing channels.
Meta, Google, TikTok, email, affiliate, influencer, at least four are live right now.
Every platform tells you to spend more on that platform.
Meta says scale Meta. Google says scale Google. Each one defending its own budget.
You suspect your dashboards are lying, the revenue never adds up.
Add up the platform-reported revenue, compare to your actual orders, and the numbers exceed reality by 30–60%.
Checked all five? You're in the right place.
Your platforms guess.We do the math.
Two minutes. Your GA4 data. The truth about which channels actually drive your revenue.
Full refund if you don't see the value. Used by 216+ Shopify brands.
You have questions.
We have math.
I'm using GA4 and I don't trust the attribution numbers. What do I do?
Upload any historical period from your GA4 export. Our proprietary causal-inference model runs on it and within 5 to 10 minutes returns a per-channel view of which campaigns actually drove incremental revenue, not just which ones happened to be there at the click. €99, pay-per-use. No subscription, no setup call. Go Pro at €299/mo to unlock the cool stuff: automated GA4 ingestion (no more manual upload), insights that compound on each other over time, a chatbot for asking questions of your data, and a developer API so your marketing agents can pull insights in real time. Works for any ecommerce vertical, fashion and beauty brands were our launch users, but the model is vertical-agnostic. GA4 is enough today; the native Shopify integration is on the roadmap.
Wait, what even is attribution?
Attribution is how you figure out which of your ads actually led to a sale. Right now, most tools just credit the last ad someone clicked, even if they saw five other ads first. It's like giving all the credit to the waiter and ignoring the chef.
Why should I care if my attribution is wrong?
Because you're making spending decisions based on lies. If your dashboard says Meta is your best channel but it's actually TikTok creating the demand, you'll cut the thing that's actually working. Wrong attribution means wasted budget. Every single month.
My Shopify dashboard shows me sales. Isn't that enough?
Shopify tells you what sold. It doesn't tell you why it sold. Was it the Instagram ad they saw Tuesday? The Google search on Thursday? The email on Saturday? Shopify just sees the finish line. We show you the whole race.
I'm not technical. Can I actually use this?
If you can export a CSV from GA4, you can use Causality Engine. No code. No pixels. No 90-day onboarding. Upload the file, wait 5–10 minutes, see which channels actually cause sales. Native Shopify integration is on the roadmap but GA4 alone is enough today.
How is this different from what Meta and Google already tell me?
Meta says it drove the sale. Google says it drove the sale. TikTok says it drove the sale. They all take credit for the same purchase. We're the only ones who don't have an ad budget to protect. So we tell you the truth.