Google Analytics 4
A GA4 audit and setup: event plan, key events, ecommerce tracking and attribution settings, checked against real orders.
ExploreOur marketing analytics and measurement services start with one question: is what gets counted counted correctly? Before we judge any campaign, we check that. We build measurement in four layers: Google Tag Manager collects the data, GA4 processes it, BigQuery stores the raw data and joins it with sales and cost data, and Data Studio turns the result into a report management can read. A GA4 and tracking audit decides which layer we start with.
We build measurement to show which channels actually bring in sales and customers. The goal is to allocate the marketing budget across channels from one dataset that matches your order system, not from each ad platform's own report, so management and marketing make decisions from the same numbers.
Funnel stages it serves
A GA4 audit and setup: event plan, key events, ecommerce tracking and attribution settings, checked against real orders.
ExploreGoogle Tag Manager setup with a data layer, an organized container, Consent Mode v2 and, where it pays off, server-side tagging.
ExploreA data warehouse that joins raw GA4 event data with CRM, returns and ad cost to show real profit and lead quality.
ExploreA fast-loading Looker Studio (Data Studio) marketing dashboard with written metric definitions, so management and marketing read the same numbers.
ExploreThe layers work like a chain, and errors travel upward. A purchase tag in Tag Manager that fires every time the thank-you page is refreshed inflates revenue in GA4; the same error flows into BigQuery and shows up as growth in the monthly report. That is why we always fix from the lowest layer up. Correcting a number in the report by hand only hides the problem.
The connection runs the other way too. Every metric in the report has a definition, and that definition goes down to the event plan in GA4 and from there to the data layer in Tag Manager. Our aim is to always be able to show which event the number management reads as 'new customers' comes from.
We run the audit with a checklist and real order data. We put a chosen week's orders side by side with the figures in GA4 and the ad platforms, and explain where each difference comes from. In the accounts we take over, most problems show up in the same few places, regardless of the size of the site:
Every platform looks at sales through its own window. The same order can appear in both the Performance Max report and the Meta Advantage+ sales campaign report; add the two together and you get more sales than actually happened on the site. We make cross-channel budget decisions with GA4's data-driven attribution and the real order data in BigQuery, and use platform reports for in-campaign optimization. This split is the first step of our growth approach.
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To learn more about measurement services, contact The Brand Move Measurement team today.
We list every tag on the site, every GA4 property and every ad account link, then compare a chosen week of GA4 sales with your order system line by line. The usual findings are key events that add no value, purchase events without transaction_id or currency, untagged email and SMS traffic landing in 'direct', duplicate primary conversions in Google Ads, and Meta Pixel and Conversions API events sent twice without deduplication.
It depends on the number of sites and accounts; for a single e-commerce site it usually takes a few working days. You receive a written list of every error found, its impact on the data and its fix priority. The fixes can be made by us or by your team.
For a single-channel, low-volume site, a correctly configured GA4 and Tag Manager setup is often enough. BigQuery comes in when part of your sales closes outside the site (phone, WhatsApp, dealers, CRM) or when you want to see the cost of several channels next to real orders.
Each platform credits the sale to itself, so one order can be counted by several platforms. Inside a single platform, setups such as two primary conversions for the same purchase or Pixel and Conversions API events without event_id matching also inflate the count. We fix these at the tag level and make budget decisions from data reconciled with orders.
Yes. On April 16, 2026, Google renamed its reporting tool back to Data Studio. Existing reports and sharing links keep working; the paid version continues as Looker Studio Pro.
Yes. We run the audit with read access and document what each tag does before switching anything off. We share findings with your current agency and agree on who makes which fix. We only change GA4 and BigQuery settings after your written approval.
In a free call we review your analytics property and tag setup, then show you in writing where data is missing or double-counted.