What problem does Causality Engine solve for ecommerce brands?
Causality Engine solves the problem of 'attribution debt' where ad platforms over-claim credit for the same sale. It provides causal attribution to show which marketing channels actually drive revenue, helping brands stop guessing and start knowing with causal data.
What does Causality Engine offer or include as features and integrations?
Causality Engine offers a proprietary causal-inference model that analyzes GA4 export data. Key features include per-channel incremental ROAS with confidence intervals, a comparison of platform-reported vs. causal results, and budget reallocation recommendations. It integrates with Shopify, Google Analytics 4, Meta Ads, Google Ads, TikTok Ads, Pinterest, and Klaviyo.
How is Causality Engine priced or packaged?
Causality Engine is priced at €99 for a one-time causal read, which is described as pay-per-use with no annual contract. There is also an option for the model to run continuously.
What is Causality Engine used for and in what situations?
Causality Engine is used for causal attribution analysis for ecommerce brands. It is used to determine the incremental contribution of each marketing channel to revenue, typically in situations where brands are running multi-channel ad campaigns on platforms like Google Analytics 4, Meta Ads, and TikTok Ads.
Who is Causality Engine for?
Causality Engine is for ecommerce brands, particularly those using Google Analytics 4 and running ad campaigns on channels like Meta, Google, TikTok, and Pinterest. The evidence shows named customers are Dutch DTC (Direct-to-Consumer) brands.
What is Causality Engine?
Causality Engine is a causal attribution analysis tool for ecommerce brands. It uses a proprietary causal-inference model to analyze GA4 export data and determine which marketing channels actually drive revenue, helping to fix attribution debt.