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.
Measurement that survives a sales cycle where the click happens online, the conversation happens on a show floor and the order arrives by purchase order.
Delivered remotely for brands across Las Vegas and Nevada.
Standard ecommerce analytics assumes the purchase completes in the session. A large share of commerce in this city does not. A buyer sees an ad, browses the catalogue, meets you at a booth in January, requests a quote in February and places a purchase order in March through an account manager. Every one of those steps is real and only one of them is a transaction event, so an untouched GA4 property will tell you that paid media produced almost nothing and the direct channel is a genius.
Fixing that means measuring the intermediate steps as first-class events and then reconciling them backwards. Quote requested, account application submitted, catalogue access granted, line sheet downloaded, first order placed, second order placed — each with the source that originally brought the person in, carried through the account record rather than lost at login. Offline and rep-entered orders get stitched in where the data allows, so a show lead that converts eight weeks later is credited to the campaign that started it.
Underneath that sits the ordinary but essential plumbing: server-side GTM on a first-party subdomain, Conversions API and Enhanced Conversions with properly hashed identifiers, deduplication between browser and server events done correctly, consent handled honestly, and a documented event schema so the numbers mean the same thing in six months. None of it is glamorous. All of it decides whether every optimisation decision downstream is being made on real data or on a plausible-looking fiction.
The measurement problem specific to Las Vegas is lag and channel-crossing. Trade show weeks produce a spike in direct and branded traffic that has nothing to do with your organic or paid performance and everything to do with a badge scan, and a naive report will show a wonderful month for SEO in January. Meanwhile the actual revenue from that show arrives weeks later, often through an account manager, often as a purchase order that never touches the online checkout. We instrument for this deliberately: show leads tagged at source with the event name, branded and direct traffic annotated so the spike is explained rather than celebrated, quote and account-application events tracked as conversions with their own value, and a reconciliation that ties closed orders back to first touch even when the close happened over the phone. The result is a report where January's traffic surge and March's revenue are visibly the same story.
The same standard of work we run for every client — applied to a Las Vegas brand’s realities.
Full service detailA 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 GTM on a first-party subdomain, resilient to ad blockers and ITP, with deduplication between browser and server events done properly.
Meta CAPI, Google Enhanced Conversions and TikTok Events API with hashed identifiers, targeting event match quality of 8 or above.
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 v2 wired to your CMP with modelled conversions, plus Shopify's customer privacy API and regional compliance handled correctly.
One dashboard for blended MER, contribution margin, cohort LTV, new-versus-returning revenue and channel payback. Reconciled to Shopify, refreshed daily.
We do not work off a rate card. Every Las Vegas 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 scopedWe 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.
A written measurement plan: events, parameters, identifiers, consent states and destinations. Signed off before implementation begins.
Server-side container, CAPI, enhanced conversions and consent mode built in a staging environment and validated event by event.
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.
Dashboards built, team trained, and monitoring in place to alert on event volume anomalies before someone spots them in a monthly report.
Anonymised under NDA. Figures pulled from the client’s own analytics.
~$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.
“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.”
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.
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.