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 | 2 minutes |
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.
See which channels actually drive your revenue. Confidence-scored results in minutes — not months. Full refund if you don't see the value.
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