Causality Engine is a causal attribution tool designed for ecommerce brands that use Google Analytics 4. Its primary function is to analyze GA4 data exports and determine which marketing channels are actually driving revenue, rather than relying on platform reported metrics. The tool applies a proprietary causal inference model to uploaded data, producing results that include confidence intervals for each channel. It is built specifically for ecommerce operators who generate at least 10,000 euros in monthly revenue, run four or more active marketing channels, and suspect that their existing attribution dashboards overstate revenue by 30 to 60 percent. The tool operates on a pay per use model at 99 euros per analysis. Users upload their GA4 export, and the system processes the data to generate a causal attribution report within 5 to 10 minutes. Causality Engine does not require a pixel, SDK, or any AI hype; it works with the analytics stack the brand already uses. The platform includes an Attribution Library containing over 200 anonymised reports from real ecommerce brands, filterable by industry, channel, platform, audience, country, and attribution health score. These reports display per channel incremental ROAS with confidence intervals. Typical use cases involve brands that need to reconcile discrepancies between platform reported revenue and actual order data. The workflow begins with a user entering their work email to receive a link to a demo session. After uploading a GA4 export, the causal model runs and presents a dashboard showing which channels truly drove revenue. Causality Engine is optimized for Shopify beauty and fashion brands but works with any ecommerce platform that uses GA4. The tool is not intended for all businesses; it is designed for operators who are actively managing multiple paid and organic channels and need a mathematically grounded alternative to standard attribution methods.