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.
Atlanta, GA
Analytics, Tracking & Data in Atlanta, GA
Server-side tracking and a reporting layer that reconciles to Shopify — for a city that already knows what a settlement report looks like.
Delivered remotely for brands across Atlanta and Georgia.
Scale · Atlanta
Why Atlanta brands come to us for this
- Server-side GTM on a first-party subdomain, resilient to ad blockers and ITP.
- Meta CAPI and Enhanced Conversions built to event match quality of 8 or better.
- Cohort reporting by acquisition week so a viral spike reads as its own group.
- Reconciliation against Shopify Payments and gateway data, not just GA4 totals.
- One executive dashboard: blended MER, contribution margin, cohort LTV, channel payback.
Ask three dashboards how many orders you took yesterday and you get three answers. GA4 says one number, Meta claims more sales than you made, Shopify says something else, and the Monday meeting becomes a debate about the data instead of a decision about the business. That is a universal problem. What is specific here is that the person in the room asking the sharpest question about it very often came out of the payments industry, and they are not going to accept 'attribution is directional' as an answer.
Good. We rebuild the measurement layer properly: server-side GTM on a first-party subdomain, Meta CAPI and Google Enhanced Conversions with hashed identifiers targeting event match quality of eight or better, a documented GA4 event schema, and consent mode v2 wired to your CMP. Then a reporting layer that reconciles to Shopify's own order data rather than to a platform's self-report.
For Atlanta brands there is a second reason this matters more than usual. Spiky, content-driven demand makes last-click attribution actively misleading — a viral moment shows up as direct or organic and every paid channel quietly claims a share of it. Without clean event data and a cohort view you cannot tell a channel that created revenue from one that stood next to it. Every optimisation decision downstream depends on getting this right, which is why we do it before anything else.
Local context
Measurement for spiky, culture-led demand
Steady-state DTC measurement assumes a fairly stable mix. Atlanta's does not: a single content moment can put a month of sessions through the store in a day, and if that cohort is blended into your normals you will misread CAC, LTV and channel performance for a quarter. We instrument for it — traffic-origin tagging that survives the spike, cohort reporting by acquisition week so a surge is legible as its own group, and a blended MER and contribution-margin view that sits next to the platform numbers rather than being replaced by them. We also reconcile against Shopify Payments and gateway-level data rather than GA4 alone, which is the standard the payments-literate stakeholders in this market expect and are right to.
Scope
What Analytics & Data includes
The same standard of work we run for every client — applied to a Atlanta 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 Atlanta store
We do not work off a rate card. Every Atlanta 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 Atlanta — your questions
Because the algorithms optimise on the signal you send them. Poor event match quality means Meta and Google are effectively guessing at who converted, and every dollar of scale amplifies that guess. Fixing server-side tracking first often lifts measured performance by double digits on its own, before anyone touches a bid.
A small variance is normal; more than 5% is a defect. The usual causes are missing purchase events on some payment paths, consent-blocked sessions with no modelling, duplicate tags from a previous agency, and cross-domain breakage. We quantify the gap per channel first so you know what the fix is worth before we do it.
By treating it as a cohort, not as a good week. We tag traffic origin at the session level, report by acquisition week, and track that cohort's repeat rate and contribution margin separately. Otherwise the spike inflates blended performance for a month and then makes the following month look like a collapse.
Yes. Consent mode v2 wired to your CMP with modelled conversions, plus Shopify's customer privacy API and regional rules handled correctly. If you have meaningful traffic from privacy-regulated regions and consent mode is not implemented, a chunk of your reporting is simply missing rather than low.
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 Atlanta 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.