GA4 and Measurement Audit: Flat Fee From $3,500
An outside review of your Google Analytics 4 setup and the tracking behind your marketing reports. Flat fee, starting at $3,500.
If your GA4 numbers don't match your store, your CRM or what your ad platforms report, every budget decision built on them is a guess. My team runs the technical tracking checks, from tags and key events to consent mode and attribution settings, and I review every finding and connect it to how you make decisions. You get a prioritized list of fixes and a measurement plan your team can rely on. You can make the fixes in-house, hand them to your developer or agency, or have my team carry them out.
A FEW OF OUR HAPPY CLIENTS
What I review
01 Tags and implementation
Whether GA4 and Google Tag Manager load once on every page, whether tags fire when they should and only once, and whether a visitor's session stays intact across your domains, subdomains and checkout.
02 Key events and conversions
Whether the actions that matter to your business, such as purchases, leads, calls and bookings, are tracked as key events, counted once and carrying the right values.
03 Ecommerce and revenue
Whether purchase, refund and product data reach GA4 correctly, and how GA4 revenue or lead counts compare with your store or CRM.
04 Traffic sources and attribution
Whether UTM tags follow one set of rules, whether payment processors or your own domains are taking credit as referrals, how much traffic lands in "Unassigned" or "(not set)", and which attribution settings shape your reports.
05 Consent and privacy
How your cookie banner and consent mode are set up, how much data you lose when people decline, whether modeled data is filling the gap, and whether personal information is leaking into GA4 through URLs or forms.
06 Settings, reporting and connections
Data retention, internal traffic and spam filters, links to Google Ads, Search Console and BigQuery, whether your dashboards pull the right metrics, and who owns and can access the property.
How the audit works
Step 1 Kickoff call
We agree on the business questions your data needs to answer, what counts as a conversion, and which systems to compare GA4 against.
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Step 2 Access
You give us read access to GA4, Tag Manager and the connected platforms. Nothing changes on your site without your approval.
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Step 3 Technical checks
My team tests tags, key events, ecommerce data, consent and settings on your live site, step by step through your checkout or lead forms.
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Step 4 Reconciliation
We compare GA4 with your store or CRM and with what Google Ads and Meta report, so you see where the numbers split and by how much.
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Step 5 Findings and plan
I review every finding, rank the fixes by impact and effort, and write your measurement plan.
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Step 6 Walkthrough
I take your team through the results, and you decide who makes the fixes: your team, your developer or agency, or mine.
What you get
Tracking report
Every tag and key event tested on your live site and marked working, broken, duplicated or missing.
Numbers reconciliation
GA4 compared with your store or CRM and your ad platforms, with the size of each gap and the likely reasons for it.
Attribution and traffic source review
Where credit is being misassigned, how much traffic goes unassigned, and the UTM rules your team should adopt.
Consent and privacy findings
How much data your consent setup loses, whether consent mode modeling is working, and any personal data GA4 shouldn't be collecting.
Settings and access checklist
Data retention, filters, platform links, user access and ownership, with the exact settings to change.
Measurement plan
The key events, parameters and naming your business should track, written so a developer can implement it.
Reporting recommendations
Which numbers belong on your dashboard and which system each one should come from.
Prioritized fix list
Every fix ranked by impact and effort, with the highest-return work first.
After the audit
The fix list and measurement plan are yours. Your developer, agency or in-house team can carry them out, or my team can. Nothing changes on your site without your approval.
Once the tracking can be trusted, many clients use it as the foundation for a marketing mix model, so budget decisions rest on numbers the whole team believes.
Who it's for
Companies with $5M to $500M in revenue that make budget decisions from GA4. It fits best when GA4, your ad platforms and your store or CRM all show different numbers, after a site redesign or migration, or before investing in a marketing mix model.
I'm Dr. Linda Orr, PhD. My team runs the technical tracking checks and I review every finding. My measurement work includes modeling Upwork's $88M media portfolio with 1-, 3- and 5-year budget strategy.
Can't I Just Use AI for My GA4 Audit?
Can I just use AI for my GA4 audit? You can, if you want an answer. If you want the right answer, someone has to test the tracking on your live site, decide which numbers can be trusted, and know which ones your budget decisions depend on. I use ChatGPT, Claude and Supermetrics to do the data work faster. Here is what the research says about where AI falls short.
AI reads the reports, not the tags
AI analyzes what GA4 shows. It can't walk through your checkout or submit your lead form and see that the purchase fired twice or the form never fired.
The data: In a 2026 test on real business spreadsheets, the best AI model found and fixed hidden errors only 12% of the time. (SpreadsheetBench 2, 2026)
Some visitors never reach GA4
Ad blockers and declined cookies keep some visits out of GA4 entirely. AI can only analyze the data that arrived.
The data: 32.5% of US internet users use an ad blocker at least some of the time. (GWI, Q2 2025)
Modeled data isn't measured data
Consent mode can fill gaps with modeled estimates, but only when your site has enough traffic. AI can't tell which of your numbers are measured and which are estimated.
The data: Google's behavioral modeling needs at least 1,000 events a day with consent denied for 7 days, plus at least 1,000 daily users who accepted. (Google Analytics Help)
The history may already be gone
If data retention was left at the default, the detailed history you'd want to compare against may already be deleted. AI can't analyze what isn't there.
The data: GA4 keeps detailed data for explorations for two months by default, and 14 months at most on standard properties. (Google Analytics Help; Analytics Mania)
Your payment page may be taking credit
Sales that pass through PayPal, a booking tool or a payment page can show up as referrals from that site, and AI will credit the wrong channel.
The data: Google tells you to list payment processors and similar sites as unwanted referrals so they don't take credit for conversions. (Google Analytics Help)
The attribution rules changed
Reports built on older attribution models now show different numbers. AI compares this year with last year without knowing the rules changed.
The data: Google removed first click, linear, time decay and position-based attribution from GA4 in November 2023. (Google Analytics Help)
"(other)" hides the detail
When a report gets too detailed, GA4 lumps the rest into one line. AI treats "(other)" as a single source when it can be hundreds of pages or campaigns.
The data: When a report has too many unique values, GA4 groups the remainder into an "(other)" row. (Google Analytics Help)
Every platform grades its own homework
GA4, Google Ads and Meta each count the same sale their own way. AI reads each report as fact and can't tell you which number to use for which decision.
The data: Meta's default attribution setting is 7-day click and 1-day view, so view-through sales count unless you change it. (Meta; Jon Loomer)
Twelve conversions isn't a trend
AI will call a landing page or a channel a winner off a handful of conversions. With numbers that small, much of what looks like a pattern is noise.
The data: Asked the same question five times with settings locked, AI models varied by up to 10% in accuracy. (Atil et al., 2024)
This month isn't every month
Thirty days of data can be your slow season. A drop that looks like broken tracking or a failing channel may just be the calendar.
The data: A NeurIPS 2024 study found language models added nothing to time-series forecasting accuracy. (Tan et al., NeurIPS 2024)
AI doesn't know what changed
A redesign, a new checkout, a new consent banner or a Tag Manager change can break tracking overnight. None of that history is in the report AI is reading.
The data: GPT-4 got roughly 4 in 10 formal cause-and-effect questions wrong, the kind of reasoning it takes to trace a tracking break to its cause. (CLadder, NeurIPS 2023)
Forty issues, three that matter
AI can list every setting that looks off. Knowing which three fixes matter for the decisions you make with this data is the job.
The data: On a strategy task outside AI's strengths, BCG consultants using GPT-4 were 19 percentage points less likely to get the right answer. (Harvard and BCG, 2023)
AI makes a very good reference if you know the right questions to ask. Knowing which questions matter for your business comes from experience. I use AI to work faster, and the calls about what to change, what to leave alone and what to watch next are still mine.
What it costs
A GA4 and measurement audit starts at $3,500 for one website and GA4 property. Every audit is a flat fee, quoted after a free 30-minute call. The final scope depends on how many sites and properties you have, whether we reconcile against your store or CRM, and how complex your tag and consent setup is.
Not sure you need an audit yet? Check your tracking and reporting first with the free Marketing Measurement Scorecard.
Related reading: what a GA4 tracking audit should check, the latest GA4 changes, signs your marketing problem is really a data problem, and whether to handle attribution in-house. Running paid media too? See the Google Ads audit and the Meta ads audit.
Can't I Just Hire Someone Cheaper?
You can, and if you're just starting out with no real budget behind your marketing yet, you probably should. You have to start somewhere.
But most of my clients come to me after trying the cheaper route first. Nearly every smaller company I work with has been there, and so have large ones. A large personal injury law firm came to me after going through agency after agency that put a junior person on the account. McKesson had worked with a major New York agency that didn't listen to what the business needed, and brought me in to fix it. I've also been let go and hired back by the same client more than once, because each time they switched to a lower-cost freelancer to save money, followers and sales dropped.
That's the real cost of cheaper. You pay for the first project, then you pay for the fix, and in between you make months of budget decisions on numbers you can't trust. So the choice comes down to this: hire me to come back and fix it later, or hire me to do it right the first time.
Cheaper now
Pay for the first project
Pay again for the fix
Months of budget moved on bad numbers
A team that stops trusting the data
Right the first time
Pay once
Built on a hypothesis and checked against your business
Decisions you can defend to your board
A plan your team can act on
If you'd rather do it once, let's talk about what that looks like for your business.
Questions about the audit
How much does a GA4 audit cost?
Starting at $3,500 for one website and GA4 property. More sites or properties, reconciliation against your store or CRM, and more complex tag or consent setups are scoped on the call. Every audit is quoted as a flat fee after a free 30-minute call.
Can you fix what you find?
Yes. My team can make the fixes, or you can hand the fix list and measurement plan to your developer, agency or in-house team. Nothing changes on your site without your approval.
Our numbers never match. Is that normal?
Some difference is normal, because GA4, the ad platforms and your store or CRM each count differently. The audit shows how big your gap is, why it's there, and which number to use for which decision.
How is this different from a marketing mix model?
The audit makes sure your tracking is right. A marketing mix model uses spend and sales data to estimate what each channel actually contributes. Many clients start with the audit, because a model is only as good as the data behind it.
Can't I just have ChatGPT or Claude audit my GA4?
AI is good at pulling reports and flagging obvious problems, and I use it to work faster. It can't test your live tags, see which visits never reached GA4, or know which numbers your budget decisions depend on. Those judgment calls are what you pay an audit for.
How long does a GA4 audit take?
It depends on scope: how many sites and properties you have, whether we reconcile against a store or CRM, and how complex your tag and consent setup is. I set the timeline when we scope the audit.
Want to know whether you can trust your GA4 numbers? Book a free 30-minute call and we'll talk through your setup.
Our Impact By The Numbers
$88M in marketing budget modeled for Upwork, 100+ clients from $5M to $500M in revenue, 25+ years leading growth, and 86% client retention.
$88M
Marketing budget covered by Upwork's first marketing mix model, built by Dr. Orr.
100+
Clients served, from $5M to $500M in revenue.
25+
Years leading growth across tech, healthcare, and consumer brands.
86%
Client retention. Most clients stay or come back.
What clients say about working with Dr. Orr
Most engagements are under NDA, but here's what clients say:
★★★★★
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“Dr. Linda Orr was as knowledgeable and helpful as her profile suggested. She surfaced growth options we hadn't considered, especially around brand recognition, sales strategy, and market penetration, and we plan to continue working together.”
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Confidential Client
Premium DTC (Fitness / Performance Apparel) · Growth Strategy
★★★★★
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“Highly recommend Linda for market research and industry insights. She delivered a clear, well-structured report packed with actionable recommendations, including 20+ stakeholder interviews translated into positioning and an executable market-entry strategy.”
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Franco Allena, My Yacht Marketer
Premium DTC Services · Market Research · Market Entry Strategy
★★★★★
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“She identified several options including enhanced brand recognition and increased sales and market penetration routes we had not considered.”
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Upwork Client
Premium DTC Apparel · Growth Strategy
★★★★★
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“Linda at Orr Consulting is absolutely brilliant. As a fractional CMO, she brings a level of strategic thinking and marketing expertise that goes far beyond the typical consultant, and she delivers real, measurable results.”
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M. Moffett
Google Review
★★★★★
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“Her fractional CMO work is backed by both data and market insights/trends... She knows how to balance big picture marketing strategy with the daily work it takes to turn that strategy into results.”
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Elevate Agency
Google Review
★★★★★
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“Linda is an absolute pro. She's incredibly responsive, solution-oriented, and really easy to work with... If you're looking for someone who makes marketing feel less overwhelming and gets results, Linda's the person for you.”
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Q. Mayberry
Google Review