Meta says 4.2x ROAS. Your bank account disagrees. Causality Engine uses causal inference on your GA4 data to reveal which Meta campaigns actually drive incremental sales, no pixel required.
Channel comparison
What Meta Ads claims vs. what causal inference reveals
The hidden cost
Average Meta ROAS overstatement after iOS privacy changes
One-click OAuth. We read order data, nothing else.
We pull session and channel data. No tracking code needed.
Confidence-scored results in minutes. Compare Meta's claims to causal truth.
| Metric | Meta Ads reports | Causal truth |
|---|---|---|
| ROAS | 4.2x | 1.8x |
| Tracking method | Pixel + modeled | Causal inference |
| Pixel required? | Yes | No |
| iOS impact | 40-60% data loss | Zero impact |
| Setup time | 1-2 hours | 5–10 min (GA4 CSV upload) |
No. Causality Engine doesn't use the Meta pixel at all. We analyze your GA4 data and Shopify orders to determine which Meta campaigns actually cause sales. This means iOS privacy changes don't affect our accuracy.
Meta has a financial incentive to make its ads look good, it's marking its own homework. Causality Engine is independent. We use causal inference to determine true incremental impact, not last-click or view-through proxies.
Yes. Causality Engine evaluates the causal impact of all Meta campaign types, including Advantage+, ASC, and manual campaigns. The methodology works regardless of Meta's campaign structure.
Two minutes. Connect your Shopify store and GA4 property. No pixel installation, no developer needed, no 90-day learning period.
Real reports on meta-ads
Anonymised reports from Ecommerce brands running their attribution on meta-ads. Per-channel incremental ROAS with confidence intervals.
Browse all meta-ads reports →Causal attribution for Shopify brands. Upload your GA4 export, see which channels really drove revenue in 5–10 minutes. €99, pay-per-use. Pro at €299/mo when you want it continuous.
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