Passive-feed view-through, scored by the network selling the inventory.
TikTok's default attribution is 7-day click + 1-day view. On a passive infinite-scroll feed, view-through credit inflates aggressively: a one-second autoplay impression on a phone in someone's pocket counts. TikTok is a self-attributing network with an ad budget to defend, and it doesn't deduplicate against Meta or Google.
Causality Engine has no ad budget. We measure incremental contribution across every channel, deduplicate overlapping credit, and report confidence intervals.
// TikTok Ads Manager answers what did TikTok-mediated touches contribute? → 7-day click + 1-day view on a passive feed // Causality Engine answers what was incremental across all channels? → causal inference + confidence intervals
Same question, different answer. Often the opposite answer.
| Causality Engine | TikTok Ads Manager | |
|---|---|---|
| Whose touches? | All channels in your GA4 | TikTok-mediated only |
| View-through credit? | Modeled causally | Counted on a passive scroll feed |
| Conflict of interest? | None | Yes (TikTok sells the inventory) |
| Deduplicates cross-platform credit? | Yes | No |
| Confidence intervals? | Yes | Not surfaced |
| Price | €99 per read · €299/mo Pro | Free (folded into ad spend) |
Which one is the right call for your situation.
Choose TikTok's attribution when
you're optimizing TikTok creative inside Ads Manager. In-platform signal for in-platform decisions is a fair use of the tool.
Choose Causality Engine when
the question is whether TikTok's reported lift is incrementally real, especially given how aggressively view-through inflates credit on a passive feed. An independent causal read removes the would-have-happened-anyway revenue.
TikTok's attribution costs nothing because it's the seller scoring its own bids. A €99 independent causal read tells you what fraction of the platform-reported lift survives.
The questions buyers ask about us vs TikTok Ads Manager.
- Does Causality Engine replace TikTok attribution?
- No. Use TikTok for in-platform creative iteration. Use our causal read to validate the platform's incremental revenue claim across your full channel mix.
- Why does my TikTok causal ROAS look so much lower?
- Because passive-feed view-through over-credits, and the platform's reported number includes sales that would have happened through other touches anyway.
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 | GMV-priced, quote by store size | Not published |
| Northbeam | ML MTA + MMM + incrementality (2026 add-on) | Partial (newer layer) | Yes (script + UTMs) | Weeks (onboarding) | Starter $1,500/mo; Pro/Ent custom quote | $1,500/mo Starter; $3,500/mo Professional; higher tiers quoted | Not published |
| Rockerbox | MTA + MMM + incrementality (enterprise) | Yes (native) | Yes (integration) | Weeks (config + experiments) | Quote only | Quote only, plus onboarding | Not published |
| Hyros | Server-side click tracking + MTA | No | Yes (watcher scripts, heavy) | 2–12 weeks (setup) | Subscription, demo-gated | Quote only, demo-gated | Not published |
| Wicked Reports | First-party click MTA (LTV focus) | No | Yes (pixel + CRM/UTM) | Days to weeks | Revenue-banded: $499 / $699 / $999 / $4,999+ | $499–$999/mo by revenue band | Monthly billing; term not published |
| Cometly | MTA pixel + server-side + CAPI | No | Yes (Comet Pixel + CAPI) | Days (post pixel install) | Usage-based on pageviews; no free trial | Quote only, usage-based | Monthly or annual (annual −20%) |
| 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) | Base plan + paid Measure add-on | $300–600 base + $2,250/mo Measure (≥$500k spend) | Billed annually |
| Supermetrics | Marketing data pipeline / connectors | No (claims unverified) | Connectors | Hours per source | Per-source subscription | From $44/mo billed annually; Growth from $177/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 | Plans by order volume; quote on fairing.co | 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 |
Competitor figures are our estimates of a fully loaded monthly cost in EUR, built from each vendor's published pricing (USD where quoted) on the date shown under this table. A tilde or "est." marks an estimate, "reported" marks a figure from a third-party report, and quote-only vendors are marked as such. Prices change often: verify with the vendor before relying on them. Not vendor quotes to us.
Run the side-by-side. Watch the model work on a sample store first, no signup. Then upload your GA4 export and 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.