Google Ads shows 3.1x ROAS.
Meta shows 3.8x.
One of them is folklore.
For Dutch Shopify wellness brands scaling from €50K to €200K/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
The €95K question: Is Google capturing demand or creating it?
Google Ads shows 3.1x ROAS. Meta shows 3.8x. Your wellness brand runs both. Both claim credit for the same purchases.
Here's what's actually happening: a customer sees your wellness product on Instagram, Googles your brand name, clicks a search ad, and buys. Google takes 100% credit. Meta takes 100% credit. You pay both. The math doesn't add up.
The math:
Google reports: €95K driven by Google Ads
Meta reports: €78K driven by Meta Ads
Combined: €173K. Actual new revenue: €95K. Someone's lying.
Platform self-reporting over-counts by 80% on average for wellness brands.
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.
Causal inference tells you who's actually creating demand
Traditional attribution (correlation):
Customer sees IG → Googles brand → Clicks Google Ad → Buys → Google gets 100% credit
Behavioral intelligence (causality):
Customer sees IG → Googles brand → Clicks Google Ad → Buys → Causality Engine: Meta created demand (68%), Google captured it (32%)
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 wellness brands already see their real numbers.
Real wellness customer journeys
Instagram → Google Search → Purchase
Customer discovers your adaptogen blend on Instagram, researches reviews on Google, clicks a branded search ad.
Last-click: Google Ads gets 100% credit
Causal analysis: Instagram created awareness (62%), Google captured intent (38%)
Podcast mention → Direct visit → Email → Purchase
Customer hears about your brand on a wellness podcast, visits your site, subscribes, buys after a welcome email.
Last-click: Email gets 100% credit
Causal analysis: Podcast drove discovery (70%), Email captured intent (30%)
TikTok → Pinterest save → Meta retarget → Purchase
Customer sees a wellness routine video on TikTok, pins your product on Pinterest, gets retargeted on Meta.
Last-click: Meta retargeting gets 100% credit
Causal analysis: TikTok created demand (50%), Pinterest reinforced (25%), Meta captured (25%)
Pattern: Pattern: Discovery channels (social, podcasts, content) create wellness brand demand. Search and email capture it. Cutting discovery kills the pipeline.
From upload to causal read
Setup time
Per causal read, no subscription
Why attribution is harder for wellness brands
Subscription-first models
Wellness brands rely on subscriptions. First-purchase attribution tells you nothing about lifetime value by channel.
Trust-driven purchases
Wellness customers need more trust signals before buying. The journey is longer and touches more channels.
Influencer attribution is invisible
Podcast ads, influencer posts, and UGC drive significant demand but are nearly impossible to track with pixels.
Bottom line: Wellness attribution requires causal inference because the purchase journey is driven by trust, not impulse clicks.
Named Dutch wellness 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
From €50K/month startups to €200K/month scale-ups. Two-minute setup. No code.
Learn the fundamentals
Customer Lifetime Value
The total revenue a customer generates over their entire relationship with your brand.
Subscription Attribution
Measuring which marketing channels drive new subscription sign-ups.
Causal Inference
Statistical methods for determining cause-and-effect relationships.
Multi-Touch Attribution
Models that distribute credit across all touchpoints in the customer journey.
Compare attribution tools
Questions from wellness brand marketers
Does this work for subscription wellness brands?
Yes, measures which channels drive new subscriptions, not just one-time purchases.
Can it track podcast and influencer impact?
Yes, if the traffic shows in GA4, we measure its causal impact.
How does this help with subscription vs. one-time purchase channels?
We identify which channels drive subscribers vs. one-time buyers.
What data do I need?
GA4 CSV export, optionally a Shopify orders export. That's it. Two-minute setup.
How long until I see results?
Minutes. We analyze 40 days of your existing data.
Skip the queue
Get called in 60 seconds, or take the wellness brands playbook.
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 wellness brands, unsubscribe in one click.
Or, if you are ready, book a 20-min call.
See which channels drive your wellness brand's revenue
Two minutes. Your GA4 data. The truth about which channels actually cause subscriptions.
€99 once. No subscription. Full refund if the first read doesn't move a decision.
Real reports from wellness brandss
See what causal attribution looks like for a wellness brands.
Anonymised reports from wellness brandss already using Causality Engine. Per-channel incremental ROAS with confidence intervals.
Browse Wellness-Brands reports in the Attribution Library →