Causality Engine

Causality Engine is a causal inference platform for e-commerce brands that answers the one question attribution tools cannot: what would have happened to your revenue if you had never run that campaign? Traditional attribution tools track clicks and assign credit. They tell you a customer saw a Meta ad, clicked a Google ad, and then bought. They call that a conversion. But they cannot tell you whether that customer would have bought anyway. That is the difference between correlation and causation, and it is the difference between wasting budget and growing revenue. We use causal inference, the same statistical methodology used in clinical drug trials and academic research, to calculate the incremental revenue each marketing channel actually generates. Not the revenue it touched. Not the revenue it assisted. The revenue it caused. Here is how it works. You upload your Google Analytics 4 data and connect your Shopify store. Our causal inference engine analyzes the relationship between your marketing spend and your revenue outcomes, controlling for organic demand, seasonality, and cross-channel effects. The result is a clear, quantified view of how much incremental revenue each channel actually produced. For e-commerce brands spending tens of thousands per month on Meta, Google, and TikTok, this changes how you allocate budget. You stop funding channels that look good in dashboards but add nothing to your bottom line. You double down on the channels that genuinely create new customers and new revenue. No tracking pixels. No cookies. No complex multi-touch models. No 90-day implementation. Upload your data in 2 minutes, connect Shopify in 10, and get your first causal analysis in under 5 minutes. We built Causality Engine because we believe every marketer deserves to know the truth about their ad spend. Not a prettier dashboard. Not a more sophisticated attribution model. The actual causal impact of every euro they invest.