Wicked Reports is a first-party, click-based multi-touch attribution platform with a real specialty: long-window, CRM- and order-ID-tied LTV attribution and new-vs-repeat-customer separation. If your central question is which channels bring the highest-lifetime-value customers over a long lookback, it's purpose-built for that, with multiple models (first-click, first-opt-in, last-click) and weekly scale/chill/kill guidance.
But it's still click-credit attribution, not incrementality, and it needs a pixel plus CRM and store integrations and UTM hygiene to work. Reviewers note a smaller footprint (≈4.2 out of 5, ~27 G2 reviews), occasional data delays, and a dated UI. Pricing scales by CRM contacts (~€550–1,200/mo, annual).
// Wicked Reports answers which channels acquire the best lifetime-value customers? → first-party click MTA, long lookback // Causality Engine answers which spend is causing revenue right now? → causal inference, confidence intervals
| Causality Engine | Wicked Reports | |
|---|---|---|
| Method | Causal inference (incrementality) | First-party click MTA (LTV focus) |
| Setup | GA4 + Shopify export, 5–10 min | Pixel + CRM + UTM integration |
| Core strength | What spend caused revenue | LTV and new-vs-repeat over long windows |
| Price | €99 per read · €299/mo Pro | ~€550–1,200/mo, annual (by contacts) |
Choose Wicked Reports when
lifetime value is the heart of the question: subscription or repeat businesses that need CRM-tied, long-lookback attribution of which channels acquire the best customers, and you're willing to wire up the pixel and CRM to get it.
Choose Causality Engine when
the question is incrementality, fast, without a CRM or pixel project. Which channels are causing revenue right now, with confidence intervals, on your GA4 history, for €99. The cleaner pick when you want a causal budget answer rather than a long-window LTV model.
No pixel, no CRM integration, no annual commitment. A €99 causal read on data you already have, refundable if it doesn't move a decision.
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 |
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.
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