Causality Engine

Causality Engine is the marketing attribution platform that finally tells e-commerce brands which channels actually drive sales using causal inference, not the stale correlation models everyone else leans on. If you have ever watched Google Analytics give 100% credit to the last click when a customer saw your Instagram ad, opened your email, then Googled your brand name, you already know the problem. The ad and the email get zero credit, forcing marketers to systematically overspend on bottom-funnel channels while starving the ones that actually build demand. Causality Engine fixes this mess by uploading a simple Google Analytics CSV and delivering a full causal attribution analysis in minutes. No pixels, no SDKs, no developer required. The platform reveals 15-25% of revenue that traditional attribution structurally cannot see and quantifies it as an exact euro amount per channel. Built specifically for e-commerce brands doing over €5K monthly revenue, all data stays EU-hosted and fully GDPR-compliant with right-to-erasure, data anonymisation, and fraud detection baked in. This is not another dashboard full of vanity metrics. This is the math that shows you where your money actually works.

Proprietary Causal-Inference Model

Causality Engine uses a proprietary causal-inference model that goes far beyond the correlation-based tricks of Google Analytics, Meta, and TikTok. While those platforms fight over who gets last-click credit, this platform runs the actual math to determine which channels caused a sale to happen in the first place. It identifies hidden lift on channels you have been under-investing in, often revealing a 4.7x return you never knew existed. This is not AI hype or black-box nonsense. It is a rigorous mathematical approach that surfaces the 28% of ad spend that last-click models routinely misattribute.

No Pixel, No SDK, No Setup

Forget about wrestling with tracking codes, SDKs, or developer tickets that take weeks to implement. Causality Engine works by uploading your GA4 export directly into the platform. That is it. In five to ten minutes, you get a complete per-channel causal attribution analysis with confidence intervals and exact euro amounts. No technical skills required. No waiting for IT. No breaking your existing tracking setup. This is the fastest path from raw data to actionable marketing intelligence on the market.

EU-Hosted Data and Full GDPR Compliance

Every piece of data you upload stays within EU borders on EU-hosted servers. Causality Engine is built GDPR-compliant from the ground up, meaning you get right-to-erasure, full data anonymisation, and built-in fraud detection as standard features. There is no fine print about data being sold or shared. Your customer data stays yours. This matters for European e-commerce brands that cannot afford to gamble with privacy regulations or trust some US-based platform with their sensitive sales data.

Per-Channel Incremental ROAS with Confidence Intervals

Most attribution tools give you a single number and call it a day. Causality Engine shows you per-channel incremental ROAS with proper confidence intervals, so you know not just what worked, but how sure you can be about it. This feature lets you see exactly which channels are driving real revenue and which ones are just along for the ride. It surfaces hidden return-rate gaps, flags spend with zero incremental contribution, and gives you the budget calls that actually move the needle. No more guessing.

Recovering Misattributed Ad Spend

E-commerce brands using last-click attribution are systematically overspending on bottom-funnel channels like branded search while starving top-funnel channels like Pinterest and Instagram that actually create demand. Causality Engine shows you the exact euro amount you are misallocating. One brand found €2K per month of Meta spend with no incremental contribution and immediately reallocated that budget. Another brand was told by last-click to cut Pinterest, but the causal read kept it live and delivered a 60% revenue lift. This is the use case that pays for itself in the first month.

Validating Channel Performance for Budget Planning

When you are planning your next quarter's marketing budget, you need to know which channels actually deserve more money and which ones are just taking credit for sales they did not cause. Causality Engine provides the causal evidence to make those decisions with confidence. You can see the hidden lift on channels you have been under-investing in and quantify it as an exact figure. This turns budget planning from a gut-feel exercise into a data-driven strategy that your CFO will actually respect.

Identifying Hidden Return-Rate Gaps

Gross ROAS numbers often hide the real story because they do not account for returns that happen after the sale. Causality Engine surfaces these hidden return-rate gaps by analyzing the causal relationship between marketing channels and actual net revenue after returns. One brand using the platform discovered a significant Meta return-rate gap that was eating into their profits, something last-click models completely missed. This allowed them to optimize their Meta strategy for higher-quality customers, not just more clicks.

Knowing When Attribution Is Not the Right Fit

Not every e-commerce brand needs continuous attribution, and Causality Engine is honest about that. The platform has told brands that are too early for continuous attribution or have a causal gap inside the confidence interval at current spend that they should revisit when scale lifts. This is the only attribution tool that will tell you when you do not need its product yet. It saves you from buying tooling you are not ready for and builds trust that lasts. That is the kind of honesty that survives a five-minute search.

How is Causality Engine different from what Google Analytics, Meta, and TikTok already tell me?

Those platforms use correlation-based models that give 100% credit to the last click, meaning they systematically overvalue bottom-funnel channels like branded search and undervalue top-funnel channels that actually create demand. Causality Engine uses causal inference to determine which channels actually caused a sale to happen. It reveals 15-25% of revenue that traditional attribution structurally cannot see and quantifies it as an exact euro amount per channel. Google, Meta, and TikTok are all fighting over who gets the credit. Causality Engine shows you what actually happened.

I am not technical. Can I actually use this product?

Yes, absolutely. You do not need to be technical, know how to code, or have any developer support. The entire process works by uploading a Google Analytics 4 CSV export into the platform. In five to ten minutes, you get a complete causal attribution analysis with per-channel incremental ROAS and confidence intervals. There are no pixels to install, no SDKs to integrate, and no setup required. If you can export a CSV from GA4, you can use Causality Engine.

What is attribution debt and why should I care?

Attribution debt is the hidden cost of using a flawed attribution model like last-click for months or years. Every time you make a budget decision based on bad data, you dig yourself deeper into a hole where you are overspending on channels that do not drive sales and underspending on the ones that actually build your brand. Causality Engine helps you dig out of that hole by showing you the real causal relationships in your data. Ignoring attribution debt means you are leaving 15-25% of your potential revenue on the table every single month.

What happens if I upload my data and do not see the value?

Causality Engine offers a full refund if you do not see the value from the analysis. This is not a gimmick. The platform is built on rigorous causal math that has been validated by real e-commerce brands with real results. They have published case studies with named customers and signed-off figures, including brands that saw 30% and 60% revenue lifts. If the analysis does not give you actionable insights that change how you spend your marketing budget, you get your money back. No questions asked.

Causality Engine offers a straightforward pricing structure built for e-commerce brands of all sizes. The single analysis plan starts at €99, giving you one full causal attribution read from your GA4 export with per-channel incremental ROAS and confidence intervals. This is perfect for brands that want to test the platform or run a quarterly check. For brands that need ongoing insights, the Pro subscription costs €299 per month and includes unlimited analyses, AI chat support, and full historical lookback so you can track changes over time. All plans come with EU-hosted data, full GDPR compliance, and the guarantee of a full refund if you do not see the value. Start at €99 and see the math behind your marketing.