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Causal attribution for supplements brands

Google Ads shows 3.1x ROAS.
Meta shows 5.4x.
One of them is folklore.

For Dutch Shopify supplements brands scaling from €150K to €500K/month. Upload your GA4 data. Know which channels drive incremental sales in minutes.

No signup for the demo · Full refund guarantee · GA4 CSV upload, 5–10 min insights · See full pricing · Book a 20-min call

Named case studies
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The problem

The €190K question: Is Google Ads working or stealing credit?

You're spending €220K/year on Google Ads. Search campaigns. Shopping ads. Performance Max.

Google dashboard says 3.1x ROAS. Meta dashboard says 5.4x. But what if Google captures demand that podcasts, YouTube reviews, and influencer content created weeks earlier?

The math:

Google Ads "attributed" revenue: €220K × 3.1x = €682K
Google Ads incremental revenue: Test market shows 38% drop = €190K lost

Difference: €190K revenue Google captures but doesn't generate.

Cut Google Ads = save €220K, lose €190K revenue, collapse funnel. Keep Google Ads = overspend on demand capture, underspend on demand creation.

You're stuck. Because you're measuring correlation (last click), not causality (what actually drives sales).

Twinkels found 28% of ad spend going to the wrong channels. See where yours should go.

The fix

Correlation vs Causality: The difference is €190K

Traditional attribution (correlation):

Google had the last click → Google gets 100% credit → Podcasts show "zero ROI" → Cut podcast sponsorships → Demand dries up.

Behavioral intelligence (causality):

Podcast creates awareness → YouTube review builds trust → Google captures the search → That's a 28-day customer journey → Podcast drives €190K incremental revenue → Keep podcasts, scale them.

Incremental Sales = (Revenue with Channel) - (Revenue without Channel)

Traditional attribution: Measures correlation (which channel touched the customer last)
Behavioral intelligence: Measures causality (which channel drives incremental sales)

Confidence-scored results with data health indicators. Named Dutch supplements brands already see their real numbers.

Customer journey

How supplements customers actually buy: The paths your dashboard hides

Path #1: Podcast → YouTube → Google

Customer hears podcast mention (Day 1) → Watches YouTube review (Day 10) → Searches Google for product (Day 28) → Buys.

Last-click: Google gets 100% credit. Podcast shows "zero ROI."
Causal analysis: Podcast drives 38% of this sale. Cut podcast sponsorships = lose this customer.

Path #2: Instagram → Blog → Email → Google

Customer sees Instagram ad (Day 1) → Reads ingredient blog post (Day 7) → Gets email sequence (Day 14-21) → Searches Google (Day 30) → Buys.

Last-click: Google gets 100% credit. Instagram and content show zero ROI.
Causal analysis: Instagram + content drive 45% of this sale. Cut them = 32% revenue drop.

Path #3: Influencer → TikTok → Meta

Fitness influencer posts review (Day 1) → TikTok algorithm amplifies (Day 5-15) → Meta retargeting converts (Day 25) → Buys.

Last-click: Meta gets 100% credit. Influencer shows "low ROAS."
Causal analysis: Influencer drives 35% of this sale. Cut influencer budget = lose top-of-funnel trust.

Pattern: Trust-building channels (podcasts, YouTube, influencers, educational content) show "low ROAS" in dashboards. But they drive 40-60% of incremental sales through multi-touch paths. Cut them = collapse your funnel.

From upload to causal read

5–10 minutes

Setup time

2 minutes

Per causal read, no subscription

€99
The challenge

Why supplements attribution is harder than other verticals

28-day+ consideration cycles

Fashion: 3-7 days. Beauty: 14-30 days. Supplements: 21-45 days. Customers research ingredients, read reviews, consult healthcare providers. Longer cycles = more touchpoints = more attribution errors. Last-click gives 100% credit to the final touchpoint, ignoring 8-15 prior interactions.

Trust-first purchase decisions

Supplements go into your body. Customers need trust before they buy. That trust comes from podcasts, YouTube reviews, ingredient transparency, and third-party certifications. None of these show "attributed revenue" in dashboards. Cut them = sales collapse 4-6 weeks later.

Subscription vs one-time purchase split

60% of supplements revenue comes from subscriptions. The first purchase is expensive to acquire. But LTV is 6-12x the initial order. Last-click attribution only measures the first purchase, missing the subscription revenue that awareness channels generate.

Regulatory content constraints

Health claims are regulated. You can't run aggressive direct-response ads. So you invest in education, content, and community. These channels show "zero ROI" in dashboards. But they're the only compliant way to build demand.

Bottom line: Supplements brands have the longest consideration cycles, highest trust requirements, and most regulated content. Traditional attribution fails hardest here. Causal analysis works best here.

Named Dutch supplements brands already see their real numbers

5–10 minutes

from CSV upload to causal read

No pixel

no SDK, no data team needed

€99

full refund if it doesn't move a decision

Dutch DTC teams switched to behavioral intelligence. Not because we are great salespeople. Because once you see which channels drive incremental sales, you cannot unsee it.

Learn the fundamentals

Frequently asked

Common questions from Dutch supplements brands

Why does Google Ads show 3.1x ROAS while Meta shows 5.4x ROAS for my Dutch supplements brand?

Google captures demand that podcasts, YouTube, and influencers created 21-45 days earlier. Last-click attribution gives 100% credit to Google, but awareness channels started the customer journey. Cut awareness channels = 38% revenue drop in 28 days.

How do I know if cutting podcast sponsorships will hurt my supplements sales?

Upload your GA4 CSV and get causal inference analysis in minutes. Measures incremental sales: Revenue with Podcasts - Revenue without Podcasts. If podcasts create awareness that feeds Google/Meta conversions weeks later, cutting them collapses the funnel.

What is the difference between correlation and causality in supplements marketing attribution?

Correlation: Google had the last click, so it gets 100% credit (wrong). Causality: A podcast created awareness, YouTube built trust, Google captured the search (right). Traditional attribution measures correlation. Behavioral intelligence measures causality.

Can I see which channels drive sales for my Shopify supplements brand with GA4 data?

Yes. Upload your GA4 CSV and get causal-attribution results in 5–10 minutes. Native Shopify integration is on the roadmap but not required today. Named Dutch supplements brands already use it.

How much does attribution analysis cost for my Shopify supplements brand?

€99 one-time analysis. Upload your data, get results in minutes. If you don't see which channels drive incremental sales, full refund. No questions. Subscription: €299/month for continuous tracking.

Why do podcast sponsorships show zero ROI in my Shopify dashboard?

Podcasts create awareness that converts 21-45 days later through other channels. Last-click attribution gives 100% credit to Google/Meta, zero to podcasts. But cut podcast budget? Revenue drops 30-40% in 28 days. Causal analysis reveals the true impact.

Skip the queue

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Leave your number and we call you back within a minute to qualify fit and book a demo. Email-only is fine too: one short note a week, tuned to supplements brands, unsubscribe in one click.

Or, if you are ready, book a 20-min call.

Know which channels drive incremental sales

Not guesses. Not correlations. Upload your GA4 data and see the real numbers in minutes.

€99. Results in minutes. Full refund if you don't see it.

Real reports from supplements brandss

See what causal attribution looks like for a supplements brands.

Anonymised reports from supplements brandss already using Causality Engine. Per-channel incremental ROAS with confidence intervals.

Browse Supplements-Brands reports in the Attribution Library →