Data-driven, not causal. We're the layer GA4 doesn't have.
GA4 ships data-driven attribution, but the method is click and visit-based. It ignores impressions, has no control group, and can't isolate which clicks were causally incremental versus which would have happened anyway. It also runs in parallel with Meta, Google, and TikTok's own self-attribution, which means the same sale is double- or triple-counted across the stack.
Causality Engine adds the causal layer GA4 doesn't have, on the same GA4 export you're already exporting. Per-channel incremental ROAS, confidence intervals, and cross-platform deduplication.
// GA4 answers what does GA4's model assign? → data-driven, click and visit-based, no control group // Causality Engine answers what was actually incremental? → causal inference + confidence intervals on the same data
Same question, different answer. Often the opposite answer.
| Causality Engine | GA4 | |
|---|---|---|
| Method | Causal inference (Bayesian) | Data-driven attribution (click/visit-based) |
| Impressions counted? | Yes (modeled causally) | No (clicks and visits only) |
| Confidence intervals? | Yes | Not surfaced |
| Control group / counterfactual? | Yes (causal identification) | No |
| Cross-platform deduplication? | Yes | No (runs alongside platform self-attribution) |
| Price | €99 per read · €299/mo Pro | Free |
Which one is the right call for your situation.
Use GA4 when
you need free, broad-coverage web analytics: traffic by source, funnel completions, event-level instrumentation. That's GA4's core job and it does it well.
Stack Causality Engine on top when
the question shifts from 'how many visits' to 'which spend caused incremental revenue, with how much confidence.' We run on the GA4 export you're already producing. No new data collection.
GA4 is free and necessary, but it's not the answer to the budget question. A €99 causal read on the same GA4 export turns it into one.
The questions buyers ask about us vs GA4.
- Does Causality Engine replace GA4?
- No. GA4 is your web-analytics layer. We're the causal-attribution layer on top of it. We need GA4 (or comparable) data to run.
- Why do my GA4 attribution numbers disagree with yours?
- Because GA4 credits clicks and visits without a counterfactual. Causal inference removes the sales that would have happened anyway through other channels or organic demand.
- How do I get my GA4 export to you?
- Export the relevant period from GA4 (Explore → free-form, or the standard reports) as a CSV. Upload it at app.causalityengine.ai. The full instructions are in the app.
Every causal vs MTA tool in one row each.
They track clicks. We measure cause. Four of these five tools are pixel or multi-touch-attribution dashboards on an annual contract; they reassign credit for conversions that already happened, and they need a script installed and maintained. Causality Engine measures incrementality, the sales a channel actually caused, from your existing GA4 and Shopify export, no pixel, with confidence intervals, for €99 a read. Different question, different bill, different install.
| Tool | Core method | Causal? | Pixel / SDK? | Time to value | Pricing model | Yr-1 fully loaded | Contract |
|---|---|---|---|---|---|---|---|
| Causality Engine | Causal inference (Bayesian) on GA4 + Shopify | Yes, native | None | 5–10 min | €99 per read · €299/mo Pro | €99 one-time · €3,588/yr Pro | Credit card, cancel anytime |
| Triple Whale | Pixel + MTA (Clicks & Deterministic Views) | No | Yes (Triple Pixel) | Days (after pixel install and data) | Subscription, GMV tiers | €600–1,500/mo loaded | 12-month minimum |
| Northbeam | ML MTA + MMM + incrementality (2026 add-on) | Partial (newer layer) | Yes (script + UTMs) | Weeks (onboarding) | Subscription, mostly quote | €1,500–2,500/mo | 12-month minimum |
| Rockerbox | MTA + MMM + incrementality (enterprise) | Yes (native) | Yes (integration) | Weeks (config + experiments) | Quote only | €2,000–4,000/mo + onboarding | 12-month minimum |
| Hyros | Server-side click tracking + MTA | No | Yes (watcher scripts, heavy) | 2–12 weeks (setup) | Subscription, demo-gated | €500–5,000/mo by spend | Annual standard |
| Wicked Reports | First-party click MTA (LTV focus) | No | Yes (pixel + CRM/UTM) | Days to weeks | Subscription, by contacts | €550–1,200/mo + integration | Annual standard |
| Cometly | MTA pixel + server-side + CAPI | No | Yes (Comet Pixel + CAPI) | Days (post pixel install) | Quote-only, usage-based | Reported from ~$150/seat/mo | Annual or quote |
| Billy Grace | Deep-learning MTA + Unified Marketing Measurement | Modeled, no CIs | Yes (own first-party pixel) | Demo-gated onboarding | Subscription, by ad spend | €499–3,250/mo + €99 integrations | Demo-gated |
| EYKData | Server-side MTA on owned BigQuery (correlation-based) | Quote-only top tier | Yes (GTM + BigQuery + Stape) | Weeks (stack stand-up) | Subscription, by sales | €399–€529+/mo (Advanced = quote) | Subscription |
| Funnel.io | Data integration / ETL platform | Add-on at quote-only top tier | Connectors / warehouse | Weeks (pipeline build) | Flexpoint consumption | $300–600+/mo (Measure tier ≥$500k spend) | Annual |
| Supermetrics | Marketing data pipeline / connectors | No (claims unverified) | Connectors | Hours per source | Per-source subscription | Reported ~$49–299/mo | Annual |
| Elevar | Shopify server-side conversion tracking + data layer | No (not attribution) | Yes (data layer install) | 1–2 weeks (setup) | Subscription, by orders | $225–3,000+/mo + $1k–4.5k install | Monthly |
| Fairing | Post-purchase survey (zero-party) | No (self-reported) | Survey widget | Minutes (install) | Subscription, by orders | Free–$199/mo (reported) | Monthly |
| Google Ads | Self-attributing network, data-driven attribution | No (window-bound, self-mediated) | Native | Built in | Native to ad platform | Free (with the spend) | Native, no contract |
| Meta Ads Manager | Self-attributing, 7-day click + 1-day view default | No (view-through inflates) | Native + Meta Pixel/CAPI | Built in | Native to ad platform | Free (with the spend) | Native, no contract |
| TikTok Ads Manager | Self-attributing, 7-day click + 1-day view | No (passive-feed view-through) | Native + TikTok Pixel | Built in | Native to ad platform | Free (with the spend) | Native, no contract |
| Shopify Marketing Reports | Last-click (last non-direct), rules-based | No (erases assists) | Native | Built in | Included with Shopify | Free (with the plan) | Native, no contract |
| GA4 | Data-driven attribution, click/visit-based | No (ignores impressions, no control group) | Native GA4 tag | Built in | Free | Free | Native, no contract |
Prices reflect publicly-published tiers or industry-standard fully-loaded estimates as of 2026-06. Not vendor quotes.
Run the side-by-side. Upload your GA4 export, get incremental ROAS with confidence intervals in 5–10 minutes, €99. Refundable if the first read doesn't pay for itself in one reallocation decision. Keep your current tool; use us as the independent causal second opinion.
We're the only one in this table without an ad budget, or a dashboard subscription, to protect.
The math behind your marketing.
Built for Ecommerce brands using GA4.
Product
Causal AttributionIncrementality TestingMarketing Mix ModelingHow It WorksPricingCompare PlansIntegrationsCase StudiesAttribution LibraryResourcesAttribution GuideDTC PlaybookAd Spend CalculatorHave an idea?
© Copyright 2026, Causality Engine
Based in the Netherlands
|KVK: 92226892
|VAT: NL865944039B01
Proudly seen on
