



| Tracking | Server-side (CAPI)GA4 & dataLayerConsent Management (CMP)Tag management |
|---|---|
| Data business | Back-office login (Shopify, COGS)Product / Collection / Line AnalysisHero / Challenger / Sleeping scoringLTV → LTM, attribution, P&L |
| Monthly Deliverables | Margin & Revenue DashboardsReliability TrackingBusiness Arbitrage Recommendations |
Stride-up Data by the Numbers
media budget waste identified during the tracking audit
conversions reported after CAPI
single source of truth (your unified data)

You know the scenario: dashboards that don’t tell the same story, a budget allocated based on gut feeling, and that nagging sense that you’re sailing blind, with no clear picture of what’s actually driving results.
First, we ensure the reliability of your data (CAPI, GA4, dataLayer), then we integrate your back-office systems: sales, COGS, margins, and product-by-product data. We shift from LTV to LTM and categorize your products (hero, challenger, sleeping).
Every euro becomes transparent again; attribution links it to your P&L, and together we scale up what we know works rather than what seems to work. No black box—just a shared vision.
We’ve audited dozens of fashion brand accounts. The conclusion is always the same: the brands that perform best aren’t necessarily the ones with the biggest paid advertising budgets. They’re the ones that know exactly where every euro is making an impact.
Reliable tracking radically changes the way we make budget allocation decisions. We no longer scale up what seems to be working; we scale up what has been proven to work. This often results in a 20% to 30% difference in overall ROAS.
Every collection launch, every conversion spike, and every platform update requires a tracking audit. We plan ahead for every event to ensure your data remains reliable as traffic increases.

I know what it’s like to fly blind: managing a budget on a hunch, doubting a ROAS, and realizing too late that a flawed tracking system was causing you to waste money without even realizing it. It’s an exhausting mental burden.
I’ll start with the one lever that makes all the difference: securing your measurement (CAPI, GA4) and integrating it with your back-office systems, so you can manage based on actual margins (LTM) and score your products, rather than chasing after a hundred different metrics.
The result: you make decisions based on facts, you highlight what proves it works, and you gain a partner who stands behind your numbers with you. Attribution links every euro spent on media to your P&L, with no black boxes.
Our method
We ensure the accuracy of the data (by addressing leaks, duplicates, and consent issues) and integrate it with your back-office systems: Shopify, sales, COGS, and margins. We factor in business data, not just clicks.
Duration: 48 hours. Outcome: leak detection + business data scope.
CAPI, GA4, dataLayer, consent management. A reliable measurement foundation, server-side when needed.
The foundation: without it, all analyses are misleading.
We consolidate data from various sources (Shopify, Meta, Google) and analyze profitability by product, collection, and line. We categorize them as: Hero, Challenger, Sleeping.
We're moving away from gross revenue to focus on actual profit margin.
We move from LTV (revenue) to LTM (actual margin = LTV – COGS), and the attribution links every euro spent on media to the value created, all the way to the P&L.
The LTM is our guiding principle: profit margin, not surface-level revenue.
Regular update: margin analysis, product scoring, alerts, budget allocations. Data that drives decisions to boost EBITDA, not just ROAS.
You make informed decisions. Every choice is explained.
