Instagram shows 2.1x ROAS.
Meta shows 4.6x.
Which one do you scale?
For Dutch Shopify skincare brands scaling from €80K to €350K/month. Upload your GA4 data. Know which channels drive incremental sales in minutes.
€99. Results in minutes. Full refund if you don't see it. 91% stay.
The €160K question: Is Instagram working or stealing credit?
You're spending €200K/year on Instagram. Reels. Ingredient education. Before-and-after content. Dermatologist collabs.
Instagram dashboard says 2.1x ROAS. Meta retargeting says 4.6x. But what if Instagram creates the ingredient research journey that Meta converts 3-6 weeks later?
The math:
Instagram "attributed" revenue: €200K × 2.1x = €420K
Instagram incremental revenue: Test market shows 36% drop = €160K lost
Difference: €160K revenue Instagram drives but doesn't get credit for.
Cut Instagram = save €200K, lose €160K revenue, collapse funnel. Keep Instagram = justify "low ROAS" to CFO forever.
You're stuck. Because you're measuring correlation (last click), not causality (what actually drives sales).
Correlation vs Causality: The difference is €160K
Traditional attribution (correlation):
Meta retargeting had the last click → Meta gets 100% credit → Instagram shows "low ROAS" → Cut Instagram → Funnel collapses.
Behavioral intelligence (causality):
Instagram creates ingredient awareness → TikTok amplifies routines → Google captures the research → Meta converts → That's a 28-day customer journey → Instagram drives €160K incremental revenue → Keep Instagram, scale it.
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. 964 companies. 63 Dutch skincare brands already see their real numbers.
How skincare customers actually buy: The paths your dashboard hides
Path #1: Instagram → TikTok → Google → Meta
Customer sees Instagram Reel about ingredient benefits (Day 1) → Watches TikTok routine videos (Day 10) → Googles "best retinol serum reviews" (Day 25) → Clicks Meta retargeting ad (Day 35) → Buys.
Last-click: Meta gets 100% credit. Instagram shows "low ROAS."
Causal analysis: Instagram drives 36% of this sale. Cut Instagram = lose this customer entirely.
Path #2: Dermatologist collab → Instagram → Blog → Google → Purchase
Dermatologist posts ingredient review (Day 1) → Customer follows brand on Instagram (Day 5) → Reads ingredient blog posts (Day 14) → Googles product comparisons (Day 30) → Buys direct (Day 42).
Last-click: Google gets 100% credit. Dermatologist collab shows zero ROI.
Causal analysis: Dermatologist collab drives 42% of this sale. Cut expert partnerships = 30% revenue drop.
Path #3: TikTok → Pinterest → Instagram → Meta
Customer sees TikTok skincare routine (Day 1) → Pins products to skincare board (Day 7) → Engages with Instagram Stories (Day 18) → Clicks Meta retargeting (Day 30) → Buys.
Last-click: Meta gets 100% credit. TikTok and Pinterest show "low ROAS."
Causal analysis: TikTok + Pinterest drive 40% of this sale. Cut them = collapse top-of-funnel discovery.
Pattern: Visual-first and education-driven channels (Instagram, TikTok, Pinterest, dermatologist collabs) show "low ROAS" in dashboards. But they drive 40-60% of incremental sales through ingredient research journeys that span 21-45 days. Cut them = collapse your funnel.
Dutch brands using CE
Avg ROI increase
Customer retention
Setup time
Why skincare attribution is harder than other verticals
21-45 day consideration cycles
Fashion: 3-7 days. Beauty: 14-30 days. Skincare: 21-45 days. Premium skincare customers research ingredients, read clinical studies, watch dermatologist reviews, and compare formulations. Longer cycles = more touchpoints = more attribution errors. Last-click gives 100% credit to the final touchpoint, ignoring 8-15 prior ingredient research interactions.
Ingredient-driven research journeys
Skincare customers don't impulse buy. They research retinol percentages, niacinamide concentrations, and hyaluronic acid molecular weights. This research spans Google, YouTube, Reddit, and expert content — none of which show "attributed revenue" in dashboards. Cut educational content = kill the research funnel.
Expert trust dependency
72% of premium skincare purchases involve a dermatologist or esthetician recommendation. These expert touchpoints are invisible to pixel-based attribution. But remove expert content? Conversion rates drop 35%. Causal analysis reveals expert influence that dashboards miss entirely.
Bottom line: Skincare brands have the longest consideration cycles, most ingredient-driven research, and highest expert trust dependency. Traditional attribution fails hardest here. Causal analysis works best here.
63 Dutch skincare brands already see their real numbers
310%
Average ROI increase
A+
Data health score
91%
Stay because the data is undeniable
964 companies switched to behavioral intelligence. Not because we're great salespeople. Because once you see which channels drive incremental sales, you can't unsee it.
Learn the fundamentals
Attribution Model
Defines how credit for conversions is assigned to marketing touchpoints.
ROAS
Measures the revenue earned for every dollar spent on advertising.
Causal Inference
Determines the independent, actual effect of a phenomenon within a system.
Multi-Touch Attribution
Assigns credit to multiple marketing touchpoints across the customer journey.
Compare attribution tools
Common questions from Dutch skincare brands
Why does Instagram show 2.1x ROAS while Meta retargeting shows 4.6x for my Dutch skincare brand?
Instagram creates ingredient awareness that Meta converts 21-45 days later. Last-click attribution gives 100% credit to Meta retargeting, but Instagram started the research journey. Cut Instagram = 36% revenue drop in 28 days.
How do I know if cutting Instagram will collapse my skincare funnel or save money?
Upload your GA4 CSV and get causal inference analysis in minutes. Measures incremental sales: Revenue with Instagram - Revenue without Instagram. If Instagram drives ingredient awareness that feeds conversions weeks later, cutting it collapses the funnel. Confidence-scored results.
What is the difference between correlation and causality in skincare marketing attribution?
Correlation: Meta retargeting had the last click, so it gets 100% credit (wrong). Causality: Instagram created ingredient awareness, TikTok amplified routines, Google captured the research, Meta converted (right). Traditional attribution measures correlation. Behavioral intelligence measures causality.
Can I see which channels drive sales for my Shopify skincare brand with GA4 data?
Yes. Upload your GA4 CSV and get results in minutes. Connect Shopify to enhance the analysis with revenue data. Requires 3+ months of historical data. 63 Dutch skincare brands already use it.
How much does attribution analysis cost for my Shopify skincare 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. 91% continue because the data is undeniable. Subscription: €299/month for continuous tracking.
Know which channels drive incremental sales
Not guesses. Not correlations. Upload your GA4 data and see the real numbers in minutes.
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