Scale · Server-side tracking and numbers your team actually trusts

Fix the numbers before you spend more

Q: Why is server-side tracking worth it?

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.

Q: How long does implementation take?

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.

Q: Will this work with Shopify's checkout?

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.

Q: What about GDPR and consent?

Consent mode v2 is part of every implementation, wired to your CMP and to Shopify's customer privacy API. Denied-consent traffic sends cookieless pings that feed modelled conversions, so you keep directional reporting without processing data you do not have permission for.

Q: Can you fix attribution across channels?

We can make it honest, which is different from making it perfect. Platform-reported numbers will always over-claim. We anchor decisions to blended MER, new-customer CAC and incrementality tests, and use platform attribution only for in-channel optimisation.

Q: Do we need this if we already use Triple Whale?

Triple Whale is only as good as the events reaching it. If your pixels are misfiring or consent is unhandled, the dashboard is a well-designed picture of bad data. We fix the collection layer, then Triple Whale becomes genuinely useful.

Server-side tracking, a clean GA4 event layer, consent mode and attribution that reconciles to Shopify. Every optimisation decision downstream depends on this.

Scope this with us What you get

Brands spending $30k+ on paid mediaStores selling into the EU and UKTeams arguing about attribution weekly

The problem

Symptoms of a broken data layer

GA4 revenue and Shopify revenue disagree by more than 5% and nobody knows why.
Your Meta event match quality is stuck around 5 and CAPI was never configured.
Consent mode is not implemented, so European traffic is missing from reporting entirely.
Every channel claims the same conversions and the totals exceed actual revenue.

Ask three dashboards how many orders you took yesterday and you will get three answers. GA4 says one number, Meta claims more sales than you made, Shopify says something else, and the weekly meeting turns into a debate about the data instead of a decision about the business.

We rebuild the measurement layer underneath everything else: server-side tracking through a first-party endpoint, Conversions API with high match quality, a documented GA4 event schema, consent mode wired to your CMP, and a reporting layer that reconciles to Shopify's own numbers. Boring work. Nothing else you buy from us performs without it.

9.1Meta event match quality after rebuild

+23%conversions recovered server-side

<2%variance between GA4 and Shopify

Median result across Analytics & Data engagements. Individual outcomes vary with baseline, budget and category.

Scope

What you actually get

No line item here is optional-extra padding. This is the standard shape of the engagement.

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.

Server-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.

How it runs

The engagement, step by step

You will always know what week you are in and what lands next.

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.

Quoted per engagement, never off a rate card

We do not publish a price for this, because the honest number depends on your catalogue, your stack and how much of the work is already done. You get a fixed statement of work with named deliverables and named dates before anyone starts — and we will tell you plainly if this is not the right first move for your brand.

Get this scoped

Tools we run this on

GA4Server-Side GTMMeta Conversions APIGoogle Enhanced ConversionsTriple WhaleLooker StudioBigQueryShopify Customer Privacy API

Proof

Analytics & Data, in the wild

Anonymised at the client’s request. Metrics come straight from their own dashboards.

All case studies

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

What we did

Started with a paid audit reconciling Shopify orders against Meta, GA4 and Google Ads. The 22% event gap surfaced in week one.
Migrated to Shopify Plus in nine weeks with full redirect mapping and a frozen scope. Launched five weeks ahead of peak.
Implemented server-side tracking: Meta CAPI, Google Enhanced Conversions and GA4 through a server container with consent mode.
Rebuilt campaign structure on clean data in both accounts. Consolidated 23 Meta ad sets to 7 and rebuilt the catalogue feed; on Google, rebuilt the Shopping feed off Shopify product data and split brand from non-brand search so budget stopped chasing traffic that was already ours. Budget decisions moved to a rolling 7-day blended MER window.

“We spent a year buying creative to fix a tracking bug. The audit found it in four days and cost less than one week of ad spend.”Head of Growth, Consumer Electronics Brand

Engagement Paid growth audit → migration → paid media retainerTimeframe 6 months

In their words

What clients said afterwards

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, 2026

FAQ

Analytics & Data — straight answers

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.

Consent mode v2 is part of every implementation, wired to your CMP and to Shopify's customer privacy API. Denied-consent traffic sends cookieless pings that feed modelled conversions, so you keep directional reporting without processing data you do not have permission for.

We can make it honest, which is different from making it perfect. Platform-reported numbers will always over-claim. We anchor decisions to blended MER, new-customer CAC and incrementality tests, and use platform attribution only for in-channel optimisation.

Triple Whale is only as good as the events reaching it. If your pixels are misfiring or consent is unhandled, the dashboard is a well-designed picture of bad data. We fix the collection layer, then Triple Whale becomes genuinely useful.

By location

Analytics, Tracking & Data where you trade

How we deliver Analytics & Data in each of the markets we work in — the local buying behaviour, the competitive set, and what changes because of it.

Pairs well with

What usually comes next

These are the services clients most often add once this one is live.

Grow

Google Ads Management

Google Ads for Shopify catalogues: Merchant Center feed health, Shopping and Performance Max structure, brand and non-brand separated, and weekly query mining.

Catalogues above 500 SKUs with Shopping demand

Grow

Conversion Rate Optimisation

A continuous experimentation programme on your Shopify store: research, hypotheses, prioritised tests and every result reported in full, losers included.

Stores above 40,000 sessions a month

Scale

Shopify Apps & Ongoing Growth Support

A named Shopify developer and strategist on a fixed sprint cadence: app stack owned, theme kept clean, ranked backlog shipped every month. The first stabilisation pass typically cancels around $1,840/mo of redundant app spend.

Brands without in-house Shopify developers

Next step

Ready to talk about Analytics & Data?

GA4, server-side tracking, Conversions API and consent mode implemented properly, plus reporting that ties every channel back to contribution margin.

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

Book a growth call See the results

Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.