Make decisions on data you trust
A Google Analytics and GTM audit reviews your entire measurement setup – from tracking codes and events to the reports your leadership team relies on.
We verify whether the data behind your marketing and sales decisions is accurate, complete, and tied to real business goals.
Challenges
When the numbers don't add up
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Your reports contradict each other
GA shows one number, your CRM shows another. Leadership stops trusting the data – and decisions start going back to gut feel.
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Budget cuts based on bad data
You pause channels that “aren’t converting,” but the real problem is they were never tracked correctly or attributed properly.
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Campaigns optimizing for the wrong goals
If your conversion tags are misconfigured, your ad platform is optimizing for page visits instead of actual transactions. You’re paying for the wrong outcomes.
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GTM has become a black box
Hundreds of tags, duplicates, and legacy scripts that slow your site down and create measurement conflicts no one wants to untangle.
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No full view of the customer journey
Without proper CRM integration or well-defined events, you can’t see the full path from first visit to sale to retention.
Not sure your analytics setup is working?
benefits
What changes after the audit
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One source of truth for your team
Marketing, sales, and leadership work from the same reliable data – making budget planning and revenue forecasting more straightforward.
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Spend where it actually pays off
Know which channels and campaigns drive real margin not just clicks. Scale with confidence where it actually pays off.
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Your team works faster
Clean reports and a clear event structure cut analysis time from hours to minutes. Less time digging through data, more time acting on it.
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Safe to make changes without breaking tracking
After the audit, your team has clear procedures for adding new pages or features without risking your measurement setup at each release.
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A data-driven culture that sticks
An organized analytics setup encourages your marketing, product, and sales teams to work with data consistently not just occasionally check GA4.
Turn analytics into a reliable foundation for revenue forecasting
Process
From discovery to a working setup
5 steps to analytics you can act on
01.
Discovery & business interview
We establish your company’s goals, the decisions you want data to support, and which reports matter most to your team today.
02.
Technical GA4 & GTM audit
We review data stream configuration, tags, triggers, data layer setup, user permissions, and alignment with current best practices.
03.
Data quality & attribution review
We cross-reference your data with other sources (CRM, payment systems), and verify the accuracy of conversions, UTM campaigns, and attribution reports.
04.
Prioritized repair roadmap
We deliver a structured list of recommendations with clear priorities: critical fixes, quick wins, and strategic projects – each with an estimated business impact.
05.
Implementation support & team workshop
We support your IT and marketing teams through the changes, and run a practical session on using the “new” GA4 and GTM — so your team can work independently going forward.
What the audit covers
GA4 configuration vs. business goals
We check whether your events and conversions reflect what your business actually defines as success – a lead, a demo, a sale, a renewal – not incidental clicks.
Google Tag Manager cleanup
We remove duplicates, dead tags, and unnecessary scripts, and organize naming conventions, folder structure, and data layer usage.
Conversion & e-commerce tracking verification
We test key user paths and confirm that transaction values, currencies, and product IDs are recorded correctly across all systems.
Attribution & campaign tagging review (UTM / integrations)
We verify whether campaigns are tagged consistently and whether GA4’s attribution model fits how your business actually sells.
Analytics governance & documentation
We create a clear reference document – event list, tagging rules, and KPI matrix, so your analytics setup remains a company asset, not a single person’s project.
CONTACT
Let's review your analytics setup
Book free consultation

Your questions
Our answers
Universal Analytics (the previous version) was built around sessions and pageviews. GA4 is event-based – every interaction is an event with parameters, which gives you much more flexibility in how you analyze behavior. GA4 also combines web and mobile app data in one property, has stronger cross-device analytics, and puts more emphasis on privacy (no IP storage, Consent Mode support, first-party cookies).This is also why a Google Analytics 4 audit covers more ground than you might expect – the event-based model, cross-device attribution, and Consent Mode configuration each require dedicated review.
The core metrics are users, sessions, pageviews, traffic sources, and conversions. In GA4, engagement metrics take center stage: engaged sessions, average engagement time, and engagement rate replace the old bounce rate. GA4 also lets you define custom events and parameters – meaning you can measure almost any user behavior in your digital product.
GA4 data is stored on Google’s cloud infrastructure and accessible through the GA4 interface and API. For more advanced analysis, you can natively export raw GA4 data to BigQuery and build custom reports or attribution models. On the site side, GA4 uses first-party cookies and pseudonymized identifiers to support GDPR/CCPA compliance.
Running a regular audit of Google Analytics helps you catch tracking errors before they distort your budget decisions. GA4 helps you understand where users come from, what they do on your site, and where they drop out of your funnel – the foundation of UX and conversion optimization. By connecting data across devices and channels, and applying machine learning for trend detection and revenue forecasting, it gives you the basis for data-driven decisions across advertising budgets, product roadmaps, and measuring the real return on your marketing investment.
