Every causal vs MTA tool. One table. Honestly compared.
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.
Five claims are simultaneously true only of us.
- 1
Causal incrementality is the default output, with confidence intervals.
- 2
No pixel, tag, data layer, GTM, or warehouse to install.
- 3
Self-serve, per-read, no contract: €99 / read · €299/mo Pro, cancel anytime.
- 4
No ad budget to protect (unlike Google, Meta, TikTok, Shopify, GA4).
- 5
EU / first-party / GDPR by construction.
The honest limit (state it, it's the moat): Causality Engine is measurement that concludes, not a daily ops dashboard, a data pipeline, a tracking layer, or a survey tool. For those jobs the relevant competitor wins, and several are complementary. Run them with us, not instead.
Three buckets. Three different pitches.
Direct attribution rivals
Tools that sell 'prove what's working' as the core product. Head-to-head on method, price, install footprint, and confidence intervals.
Complementary layers (stack, not switch)
Pipelines, tracking, and survey tools. They collect; they don't conclude. Run them, then run a causal read on the result.
Platform-native attribution
The referee with a team in the game. Every native source over-credits itself, none deduplicate cross-platform, and the four ad platforms claim more revenue between them than your store sold.
Every tool in one table.
Method, causal yes / no, install footprint, fully-loaded yr-1 price, contract shape. Causality Engine row first so the contrast lands without scrolling.
| 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.
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