For Dutch Shopify supplements brands scaling from €150K to €500K/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.
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).
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.
The formula:
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)
95% accuracy vs 30-60% industry standard. 964 companies. 67 Dutch supplements brands already see their real numbers.
Customer hears podcast mention (Day 1) → Watches YouTube review (Day 10) → Searches Google for product (Day 28) → Buys.
Last-click attribution: Google gets 100% credit. Podcast shows "zero ROI."
Causal analysis: Podcast drives 38% of this sale. Cut podcast sponsorships = lose this customer.
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 attribution: Google gets 100% credit. Instagram and content show zero ROI.
Causal analysis: Instagram + content drive 45% of this sale. Cut them = 32% revenue drop.
Fitness influencer posts review (Day 1) → TikTok algorithm amplifies (Day 5-15) → Meta retargeting converts (Day 25) → Buys.
Last-click attribution: 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.
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.
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.
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.
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.
310%
Average ROI increase after seeing real attribution
95%
Accuracy vs 30-60% industry standard
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.
Defines how credit for conversions is assigned to marketing touchpoints.
Measures the revenue earned for every dollar spent on advertising.
Determines the independent, actual effect of a phenomenon within a system.
A statistical measure showing a relationship between variables; it does not imply causation.
Assigns all credit for a conversion to the final marketing touchpoint.
Assigns credit to multiple marketing touchpoints across the customer journey.
Describes the customer's journey from initial awareness to purchase.
The cost to convince a consumer to buy a product or service.
Predicts the net profit from a customer's entire future relationship.
Determines how different marketing channels contribute to customer conversions.
Gives 100% of conversion credit to the first marketing touchpoint.
Feature comparison for e-commerce attribution
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Deep dive into supplements-specific attribution challenges
Track the full Google Ads customer journey
How much are you wasting on misattributed spend?
The correlation vs causation problem explained
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.
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.
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.
Yes. Upload your GA4 CSV and get results in minutes. Connect Shopify to enhance the analysis with revenue and subscription data. Requires 3+ months of historical data. 67 Dutch supplements brands already use it.
€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.
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.
Not guesses. Not correlations. Upload your GA4 data and see the real numbers in minutes.
Book a Demo€99. Results in minutes. Full refund if you don't see it. 67 Dutch supplements brands already know.