Tracking Audit & Reconciliation
A full event inventory across GA4, Meta, Google Ads, Klaviyo and Shopify, reconciled against order data to quantify exactly where and how much data is lost.
Copenhagen
Analytics, Tracking & Data in Copenhagen
A measurement layer for Danish brands running several currencies, a cookie banner that suppresses half the data, and freight costs nobody reports on.
Delivered remotely for brands across Copenhagen and Denmark.
Scale · Copenhagen
Why Copenhagen brands come to us for this
- Server-side GTM on a first-party subdomain with consent signalling implemented honestly, not engineered around the banner
- Currency handled once and consistently, so DKK, EUR and SEK reporting stop producing three versions of the same week
- Contribution margin by market after freight, surcharges and returns — the number that should actually set budget
- Checkout instrumented by payment method so MobilePay, card, invoice and pay-later completion is visible per market
- Written commentary attached to reporting, because the overlap window is three hours and decisions should not wait
Put the same question to three dashboards and a Copenhagen store gets four answers, because it has an extra source of disagreement most stores do not: currency. Shopify reports in DKK, the German ad account thinks in EUR, GA4 converts on its own schedule, and the weekly meeting becomes an argument about which number is real. Fixing the reporting currency logic once, and declaring which figure is the source of truth, removes an entire category of wasted discussion.
The second layer is consent. EU and Danish rules require consent before non-essential tracking, which means a material share of your visitors are simply not in the browser dataset, and that share is not random. Server-side tracking through a first-party endpoint with correct consent signalling, honest deduplication and proper Conversions API implementation recovers what is lawfully recoverable — it is not, and must not be sold as, a way around the banner. We would rather implement consent honestly and report a smaller true number than produce a flattering one that will not survive scrutiny.
The third is the one that decides whether a Danish business is actually profitable: cost after the sale. Freight on large goods, two-person delivery, non-mainland surcharges, and the return rate on apparel sold into Germany. A market can look excellent on revenue and be losing money once returned goods and outbound freight are counted. We build the reporting so contribution margin by market and by product category is visible, because that is the number that should drive budget.
Local context
Per-market truth, not one blended dashboard
A Copenhagen store's markets behave differently enough that a blended report actively misleads. Denmark converts well, ships cheaply within the country and returns little. Germany converts worse, returns much more in apparel, and often carries higher outbound and inbound shipping cost. Sweden sits between them with its own payment mix. Reported together, an unprofitable market can be hidden by a healthy one for a year. So we build the reporting by market from the start: revenue, conversion, AOV, return rate, shipping cost and contribution margin per country, with currency handled consistently rather than converted twice. We also instrument the things Danish stores actually need to see — parcel shop versus home delivery selection, freight quote abandonment, MobilePay versus card versus invoice completion rates — because those are operational decisions waiting to be made. And with an eight-hour gap, reporting is built to be read without us in the room: written commentary attached to the numbers, so your Monday morning does not wait for our Monday morning.
Scope
What Analytics & Data includes
The same standard of work we run for every client — applied to a Copenhagen brand’s realities.
Full service detailServer-Side Tracking
Server-side GTM on a first-party subdomain, resilient to ad blockers and ITP, with deduplication between browser and server events done properly.
Conversions API Integration
Meta CAPI, Google Enhanced Conversions and TikTok Events API with hashed identifiers, targeting event match quality of 8 or above.
GA4 Event Schema
A documented, consistent eCommerce event and parameter specification across every surface, so reports mean the same thing in six months as they do today.
Consent Mode & Privacy
Consent mode v2 wired to your CMP with modelled conversions, plus Shopify's customer privacy API and regional compliance handled correctly.
Executive Reporting Layer
One dashboard for blended MER, contribution margin, cohort LTV, new-versus-returning revenue and channel payback. Reconciled to Shopify, refreshed daily.
Scoped and quoted for your Copenhagen store
We do not work off a rate card. Every Copenhagen engagement starts with a fixed statement of work — named deliverables, named dates, one number — written after we have looked at your store, not before. If a smaller first step would serve you better, we will say so.
Get this scopedHow it runs
From kickoff to results
Audit & Quantify
We measure the gap between platform-reported and actual orders per channel. Most stores we audit are losing 15-30% of conversion signal before we start.
Specification
A written measurement plan: events, parameters, identifiers, consent states and destinations. Signed off before implementation begins.
Implement
Server-side container, CAPI, enhanced conversions and consent mode built in a staging environment and validated event by event.
Validate
Order-level reconciliation against Shopify for a full week, plus match-quality checks in each platform. We do not sign off on a screenshot of a tag firing.
Report & Maintain
Dashboards built, team trained, and monitoring in place to alert on event volume anomalies before someone spots them in a monthly report.
Proof
Analytics & Data results
Anonymised under NDA. Figures pulled from the client’s own analytics.
Consumer Electronics & Accessories
~$9M/yr, 210 SKUs, US + AU · Shopify Plus (migrated from BigCommerce)
Meta ROAS had slid from 3.6x to 1.9x in a year and the team had spent twelve months buying new creative to fix it. The real cause was measurement: the BigCommerce checkout dropped 22% of purchase events and the Conversions API had never been installed, so both ad platforms were optimising on incomplete data. The named constraint: peak season was 14 weeks out, and the replatform had to be live and stable well before Black Friday traffic arrived.
1.9x → 3.4xMeta ROAS, once the 22% event gap closed60 days after server-side tracking went live, spend up 18%. Most of that is signal we recovered, not performance we invented — the honest number is the blended CAC below, which is measured against Shopify orders
-32%customer acquisition cost$44 to $30 blended across Meta and Google
4.1s → 1.7smobile LCPdesktop went 2.9s to 1.2s over the same window
+47%peak-season revenueBlack Friday through Cyber Monday, year over year
In their words
Clients on this work
GA4/Shopify gap 14% → under 2%
“Paid audit, and worth every dollar. Forty pages on where our measurement was lying to us — duplicate purchase events, CAPI never configured, GA4 and Shopify off by 14% — each one ranked by the revenue it was hiding. No pitch deck at the end. We fixed six of the items ourselves before we ever signed a retainer.”
FounderHome goods brand, ~$3M/yr · Denver, CO
Verified client, 2026FAQ
Analytics & Data in Copenhagen — your questions
Three things. Make the consent experience clear and quick, because badly designed banners depress consent for no legal benefit. Ensure the tracking you do have is correct — deduplicated, properly parameterised, and not double-counting. And use Shopify's own order data as the commercial source of truth, with platform reporting treated as directional. What we will not do is implement anything that fires before consent or disguises what is being collected.
Shopify, for revenue and orders. It is the system that took the money, in the currency the money arrived in. GA4 is for behaviour and journey analysis, and ad platforms report their own influence with a generous view of their contribution. We set the reporting up so everyone in the business knows which question each tool answers, which is usually more valuable than any single fix.
By bringing carrier and returns data alongside order data rather than looking at them separately. Freight and parcel costs vary enormously between a Danish parcel shop delivery and a two-person furniture delivery in Germany, and apparel return rates differ sharply by market. Once both are joined to orders, contribution margin by market and category becomes a real report — and it frequently changes where the ad budget goes.
It confuses it more often than it breaks it. GA4 converts to a single reporting currency using its own rates, which will not match your Shopify payouts or your bookkeeping. We set a consistent approach — one reporting currency for analysis, Shopify figures for financial truth, and per-market reporting kept in local currency where the decisions are local — and document it so nobody rediscovers the discrepancy every quarter.
Browser tracking loses 15-30% of conversions to ad blockers, ITP and consent rejections. Server-side sends events from your own infrastructure, which recovers most of that signal. Better signal means better algorithmic bidding, so it usually pays for itself in media efficiency within a quarter.
Four to six weeks for a typical Shopify store, including the validation week. Complex setups with subscriptions, multiple markets or a headless front end run six to ten. The audit and specification phase takes about a third of that and is the part that determines quality.
Yes. We use Shopify's Web Pixels API and customer events for checkout tracking, which is the supported path since checkout.liquid was retired. Order-level data comes through the server side, so checkout tracking no longer depends on scripts Shopify will not let you inject.
Next step
Analytics & Data for your Copenhagen brand.
Thirty minutes with the strategist who would actually run your account. We screen-share your store, read your data live, and tell you the three highest-value things we can see from the outside.
Shopify or Shopify Plus stores doing $150k/mo or moreFounder, CEO or eCommerce lead on the callNo deck and no pitch — we open your store instead
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.