Solution: DTC brands
Causal Attribution for DTC Brands
Three dashboards, three numbers, and a budget meeting where nobody can say which to trust. Causal attribution is the tie-breaker.
The problem you are living with
Triple Whale shows one number, Meta shows another, GA4 shows a third, and the actual sales in Shopify rarely agree with any of them. Your team argues about which dashboard is right while spend drifts to whatever reports the biggest ROAS. The channel that creates demand quietly under-spends. The channel that captures it quietly scales. Neither of those decisions came from data; they came from whichever vendor wrote the most flattering attribution rules.
What causal attribution changes
Instead of dividing credit by rules, causal attribution measures whether each conversion would have happened anyway. One incremental ROAS per channel, with a confidence interval. No more reconciling three dashboards. The meeting becomes a single decision: which channel actually causes incremental sales, and where the budget should move.
Find your wasted ad spend in 5–10 minutes.
Watch the model work on a sample store first, no signup. Then upload your last 40–90 days of GA4 sessions and get incremental ROAS with confidence intervals. No pixel, no SDK. €99 per read.
Prefer to talk it through? Book a 20-min call, or read how it works.
How it fits your workflow
Export 40–90 days of Shopify orders and GA4 sessions. Drag the files into Causality Engine. The causal model runs in 5–10 minutes and returns incremental ROAS per channel with confidence intervals. €99 per run. No subscription, no integration project, no engineering ticket.
Frequently asked questions
Why is causal ROAS so much lower than what my platforms report?
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Because each platform takes credit for sales that would have happened anyway, and several platforms claim the same sales at once. Causal attribution removes those would-have-happened-anyway conversions and reports only incremental sales, so the totals reconcile to your actual revenue.
Do I need a data team?
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No. Causality Engine runs on your standard Shopify and GA4 exports. The output is a plain-English report ranking what to scale and what to cut. No statistics degree required.
What if I am scaling fast and last quarter is not a guide?
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Causal attribution still tells you what was incremental at your previous scale. As spend grows, you can re-run weekly. Diminishing returns show up clearly as confidence intervals widen near saturation.
Keep reading
Related
Use cases
- Cut an underperforming channel
- Scale a channel above its current spend
- Identify a measurement blind spot
Causal attribution check
Find your wasted ad spend
in 5–10 minutes.
Watch the model work on a sample store first, no signup. Then upload your last 40–90 days of GA4 sessions (and Shopify orders if you have them) and get incremental ROAS with confidence intervals. No pixel, no SDK, no integration project. €99 per run. Every quarter on last-click adds to your marketing debt.
Prefer to talk it through first? Book a 20-min call, or read how it works.