
Causality Engine is a marketing attribution platform that uses causal inference, not correlation, to show e-commerce brands which marketing channels actually drive sales. Traditional tools like Google Analytics credit the last...

Causality Engine is a marketing attribution platform that uses causal inference, not correlation, to show e-commerce brands which marketing channels actually drive sales. Traditional tools like Google Analytics credit the last click. If a customer saw an Instagram ad, opened an email, then Googled your brand name, Google gets 100% of the credit. The ad and the email get zero. This causes marketers to systematically overspend on bottom-funnel channels and underfund the ones that create demand. Causality Engine fixes this. Upload a Google Analytics CSV and get a full causal attribution analysis in minutes. No pixels, no SDKs, no developer needed. The platform reveals 15-25% of revenue that traditional attribution structurally cannot see, and quantifies it as an exact euro amount per channel. Built for e-commerce brands doing €5K+ monthly revenue. All data is EU-hosted. GDPR-compliant from the ground up with right-to-erasure, data anonymisation, and fraud detection built in. Pricing starts at €99 for a single analysis. Pro subscribers (€299/mo) get unlimited analyses, AI chat, and full historical lookback. Get started now: https://causalityengine.ai
Bypasses flawed last click correlation by using advanced causal models to identify exactly which marketing channels create demand and drive real conversions.
Requires no client side tracking pixels, no complex software development kits, and zero developer hours. Simply upload a standard Google Analytics CSV to run the analysis.
Uncovers the hidden 15% to 25% of sales revenue that traditional analytics frameworks structurally miss and provides an exact euro value amount calculated per channel.
Built from the ground up to be fully EU hosted and GDPR compliant, featuring native data anonymization layers, fraud detection, and right to erasure workflows.
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