Google Analytics Consultant
Tracking You Can Verify Yourself
A Google Analytics consultant sets up GA4 so the numbers match what the business actually sells. I test each event by hand, tie leads to the form or call that produced them and show you the proof in your own account.
★★★★★ 5-star rated on Google · 14 years · 300+ Las Vegas businesses
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Google Analytics 4 Setup Services
Google Analytics 4 counts events, not page views. Every form submit, phone tap, booked consult and purchase is an event that someone has to define, name and test. When that work is skipped or done in a hurry, the report looks complete and says very little about what the business earned.
I set up GA4 around the actions your business cares about, then check each one against a real submission. The result is an account where a lead in the report is a lead in the inbox, and where a figure that looks wrong can be traced back to the tag that produced it.
GA4 set up to match the sales
Property and data stream setup
The GA4 property, data streams and time zone set for the business, with the account owned by the business.
Read more →Key events
The actions marked as conversions, such as a form submit or a booked consult, each tested with a real submission.
Read more →Tag Manager setup
Google Tag Manager containers that hold the tags in one place, so a change does not need a developer for every page.
Read more →Search Console link
The search data connected to GA4, so organic visits can be read next to the leads they produced.
Read more →Dashboards and reports
A short set of reports built for the owner, not a wall of default charts that nobody reads.
Read more →Audit and cleanup
A review of an existing GA4 setup, with duplicate tags, broken events and wrong filters listed and fixed in order.
Read more →Who Needs a Google Analytics Consultant
Owners who see numbers they cannot trust
The owner I write for usually has an account that was set up years ago, by a web developer or a marketing agency that has since moved on. The reports arrive on schedule, the charts look professional and the leads in the report do not match the leads in the inbox. That gap is the reason to hire a consultant.
Agencies that inherit a client account also come to me, usually after the business questions the first monthly report. The question is then not how the tool works, but why the number changed and whether the change is real.
Other owners are launching a new site or a new service and want the measurement right from the first day. Both groups need the same thing: a setup they can explain and a person who can answer what each number means.
The Fear of Analytics Nobody Trusts
Numbers that look right and are wrong
The fear is that the account says one thing, the sales records say another, and nobody can say which to believe. That fear is well founded. A common cause is a form that fires twice, a phone number that is counted as a website visit or a booking widget that sends no event at all.
The way out is to test each path the way a buyer would use it, then compare the count with the sales record for the same week. Where the two disagree, the difference is explained in writing before any new decision is made from the report. A useful first check is to read the last five leads from the inbox aloud and compare that list with the report. The mismatch usually shows in the first comparison.
What a Tracking Plan Contains
The written plan behind every event
A tracking plan is a short document that lists every event, what triggers it, what it is called and which report uses it. It is the reference the firm keeps when a new page is built, so the next change does not break the count.
- Each conversion, with the page and the action that triggers it
- The event name, written the same way across the site
- The tool that receives each event and the tag that sends it
- The test used to confirm it works, with the date it passed
- The owner who approves a change to the event
How an Analytics Audit Runs
How the audit moves from access to fixes
- Step 01
Step one: access review
I check the accounts the business owns, the people who have access and the tags on the site, without changing anything yet.
- Step 02
Step two: the event test
Every conversion is tested by hand on the site, including the forms, phone links and booking steps, and the results are recorded.
- Step 03
Step three: the sales match
The event counts for a sample period are compared with the sales or booking records, so each gap has a named cause.
- Step 04
Step four: the fix list
Each problem is listed with the fix, the effort it takes and the report it affects. Changes are made in batches, with a test after each batch.
Event Audit Sample
What a finished audit looks like
The table below shows the kind of findings a tracking audit produces. Each row is one problem, the way it was found and the fix that was made. The full audit has one row for every conversion on the site.
A sample audit checks ten recent sessions from start to finish: the landing page, each key click, the form submit and the thank-you page. Any event that fires in the wrong order or without a value is logged and fixed before the report goes live.
| Finding | How it was found | Fix |
|---|---|---|
| Form counted twice | Test submission showed two events for one send | Duplicate tag removed and the event re-tested |
| Phone taps not counted | Tapped the number on a phone and checked the event stream | Click event added to the phone links |
| Booking widget silent | Completed a test booking and found no event | Booking confirmation event set up and matched to the calendar |
| Internal traffic in reports | Compared visits from the office network with the report | Internal traffic filter set and tested |
Google Tag Manager Setup
One container for every tag
Google Tag Manager holds the tags for analytics, ads and other tools in one container, so a change is made in one place and tested before it is published. Each tag has a trigger, a name and a note. Old tags that no longer report are removed rather than left to fire silently.
Tags are managed in one container with a named owner, a change log and a test mode. Each tag has a purpose written next to it, so a stale tag gets found during the monthly review instead of years later.
Conversions That Match Real Leads
Counting what the business sells
A conversion should mean something a sales person can act on. A page view on the pricing page is a signal. A booked consult is a conversion. The analytics setup marks only the second as a key event, and keeps the first as supporting data so it does not inflate the count.
Where the business uses a booking system or a customer tool, the setup checks that the same lead appears in both places under the same name, so the report and the inbox agree.
Consent and Privacy Settings
Measurement that respects the visitor
Consent settings decide what data a visitor's browser can send to the analytics tools. The setup follows the consent choices the business has made and the wording in its privacy policy. The business owner decides the policy; I set the tools to match it and document the result.
This is technical configuration, not legal advice. If a question about consent or data rules comes up, the business should check it with the person who writes its policy. Where a visitor declines analytics, the report shows a smaller count and says so, rather than filling the gap with estimates presented as fact.
Consent settings are checked against the banner the site actually shows. Any tag that fires before consent is recorded as a finding, and the fix is logged with the date it went live.
Attribution Settings That Hold Up
Credit given by one agreed rule
Attribution decides which channel gets credit for a lead that touched more than one page. GA4 offers its own model and the ad platforms offer theirs, and the two rarely agree. The setup picks one rule for the business, writes it down and applies it in every report, so a month-to-month comparison means the same thing each time.
The lookback window is set to match how long buyers in the business's market take to decide. A window that is too short credits the last visit and ignores the research that came before it. A window that is too long credits old visits for a lead that came from somewhere else. The chosen window is shown on every report that uses it.
Cross-domain links, such as a booking widget hosted on another domain, are tested so the visit is not counted as a new visitor partway through the buyer's path. Where that cannot be fixed, the report says so, and the gap is listed as a known limit.
Reports That Match the Sales Count
The reports are built around the questions an owner asks each month: how many leads came in, where they came from, which pages drew them and how long they took to answer. Each report links a number to the event it comes from, so a question about one figure is answered in one click.
Each report has a note at the top that lists the date range, any test data removed and any known gaps. An owner who opens the report in a year can see what the numbers were built from, and a change to the setup is recorded in the same note.
The sales report is built from the same definitions the owner uses on calls, so a lead that the team counts as qualified appears as qualified in the dashboard too.
A report the owner can read
- Step 01
Leads by source
Qualified leads grouped by the channel or page that brought them, using the same names as the sales record.
- Step 02
Leads by page
Which pages drew the most form submits and calls, and which drew visitors who left without acting.
- Step 03
Answer time
How long each lead waited for a first reply, pulled from the same timestamps the sales record uses.
GA4 Cleanup and Filters
Removing the noise from the count
Older accounts often carry filters, referral exclusions and duplicate properties that distort the count. A cleanup removes the ones that do not serve the business, documents the ones that stay and tests the result against a known week of sales. Historical data is kept and marked, so the change is visible rather than silent.
The cleanup list is ordered by how much each problem distorts the lead count, so the most damaging issues are fixed first and the cosmetic ones are left for last.
Old filters, duplicate properties and test traffic get removed in the first month. Internal visits are excluded by rule, so the team's own testing does not inflate the numbers the owner reads each week.
Analytics Work Samples
Live builds you can click through
Website build · Henderson
GIOSTAR: the clinic website, booking and lead tracking
I built and run giostarwellness.com for a regenerative medicine and wellness clinic in Henderson: every service page, online booking, financing and a blog. A website lead is tracked end to end, from the form to a booked consult to an active patient, with no manual steps. I also built its live brand hub, so every page, post and print piece pulls the same colours, type and rules.
See the live sitePortfolio Examples
More of the work
Website build · Las Vegas
WebVegas: a Las Vegas web design brand and its booking funnel
See the live site
Brand mark · Event venue
Desert Inn Oasis: the refined mark and the plan for the new site
Site in build
Brand identity · Pharma
Mili Pharma: the butterfly mark and the lockups
Site in build
Social content system
Quotible: a testimonial-led social series
Content system
Want me to look at your site first?
A free audit, and a same-day reply from Justin, personally.
Analytics Client Reviews
What clients wrote on Google
- ★★★★★
After going back and forth on whether to bring in outside help, we ended up working with Justin for some AI consulting on how to structure our operations. He laid out a clear plan, didn't overcomplicate it, and we've been running smoother since. Good fit for a service business. He knows Las Vegas and he knows this stuff.
Kristen S. · Google
- ★★★★★
Justin joined our team a few months before opening to replace a marketing agency that wasn’t performing. He stepped up fast. Within weeks he launched a fully redesigned website with new brand guidelines, built and delivered our marketing plan and AI strategy, and helped implement our system architecture so we could open on time. Since then, he’s made several critical enhancements to the site that helped us generate revenue in our first month. His engagement was supposed to end at opening, but he became such an integral part of our leadership team that we kept him on to help evolve our marketing and tech strategy as we grow. He’s easy to work with, pushes back when it matters, and moves easily between strategy, delivery, and operations depending on what’s needed. If you’re looking for a deeply experienced, knowledgeable, and dedicated marketing, AI, or technology consultant, I highly recommend Justin Harris AI Consulting.
Devin R. · Google
- ★★★★★
Justin has been a true Gem to have as part of our company. His professionalism, immediate attention to branding and extensive details in marketing has made so much improvement on our business. We are forever grateful to have such and amazing marketing asset and cannot thank you enough Justin!
Desi W. · Google
- ★★★★
Justin Harris was very helpful in resolving some issues we had with our Webflow website.
Kristy F. · Google
- ★★★★★
I had the pleasure of working alongside Justin and consistently saw firsthand the level of dedication and professionalism he brings to his work. He was always the first one in the office, setting the tone with his strong work ethic and commitment to excellence. What stood out most was how deeply he cared about every client. He approached each project with thoughtfulness, expertise, and a genuine drive to deliver meaningful results. He combines sharp technical knowledge with a practical, solutions-oriented mindset, which makes him especially effective in the AI space. Any organization looking for thoughtful, reliable, and highly skilled AI consulting support would be in great hands working with him!
Jenevine Y. · Google
- ★★★★★
Hired him to manage our AI systems and it's been pretty smooth. He knew what needed to be done and got it handled without a lot of back and forth. Good experience for our service business.
BC G. · Google
- ★★★★★
I follow Justin on social media and read about his work and his contributions to the AI industry. He really knows how to use the technology in creating a system that allows you to make your business work more efficiently and effectively.
Ana J. · Google
- ★★★★★
Justin was the person I would go to for advice about AI automation for my workload. He knew the subject well and didn't overcomplicate it. For anyone in Las Vegas running a service business and wondering if AI systems are worth looking into, talking to him first is a great move!
Yaneliz M. · Google
- ★★★★★
Working with Justin is always a pleasure. He is professional, trustworthy, and consistently delivers outstanding results. As a longtime Las Vegas local, he has an exceptional knowledge of the territory and truly understands the market. I highly recommend his services to anyone who is serious about growing their business!
k C. · Google
- ★★★★★
From what I've seen, Justin knows the AI automation space better than most people I've come across in Las Vegas. He's the kind of person who actually understands the technical side and can explain it without making you feel lost. Good guy, good reputation.
Afaryn F. · Google
- ★★★★★
I've Known Justin for a while now and he really knows his stuff when it comes to AI consulting. If people in Las Vegas were to ask me for recommendations in this space, he's the best guy for the job, hands down.
Mickey S. · Google
- ★★★★★
After going back and forth on whether to bring in outside help, we reached out to Justin for some AI consulting advice on where our service business could actually use automation. He was straightforward about what made sense and what didn't. Ended up being a useful conversation. Las Vegas has no shortage of people claiming to be experts, and he's one of the few who could back it up.
Vincent M. · Google
- ★★★★★
Known Justin for a few years now and the guy actually knows his stuff when it comes to AI automation. Friends in the Las Vegas service business space keep asking me who to call and I always point them his way.
Chris M. · Google
- ★★★★★
Justin is one of those guys who actually knows what he's talking about and doesn't cut any corners. Will definitely be working with him again.
David S. · Google
- ★★★★★
Justin knows what he's doing highly recommend using his service he will treat you right and give you tremendous value !👍
Gregory J. · Google
- ★★★★★
Known Justin for a many years and the guy actually knows what he's talking about when it comes to AI and automation. Not the type to just throw buzzwords around. Based in Las Vegas and well connected in the space. …
cindy D. · Google
- ★★★★★
Known Justin for a few years now. Guy knows the AI space better than most people I've come across, especially here in Las Vegas where there's no shortage of people claiming to be experts. He actually understands how AI automation works at a practical level, not just the theory. The kind of person who gives you a straight answer with kindness and patience
Katelyn H. · Google
- ★★★★★
Knew Justin before he started building AI systems for businesses, and watching what he's put together is genuinely impressive. He built out an AI automation setup for my website in Las Vegas and it changed how we handle leads completely. The guy actually runs this stuff himself, so he knows what works.
Justin E. · Google
What Clients Said About My Work
Plain answers on hard questions
Yaneliz M. wrote that I "didn't overcomplicate it" when she asked for advice on AI automation. Analytics is the same kind of work. Owners do not need to understand every setting, but they should be able to ask what a number means and get a straight answer that they can check.
Google Analytics Consultant Las Vegas NV
Every part of the Valley, by ZIP code
Las Vegas
89030 · 89101 · 89102 · 89104 · 89106 · 89107 · 89108 · 89109 · 89110 · 89117 · 89124 · 89128 · 89129 · 89130 · 89131 · 89134 · 89138 · 89143 · 89144 · 89145 · 89146 · 89149 · 89166
Henderson
89002 · 89005 · 89011 · 89012 · 89014 · 89015 · 89044 · 89052 · 89054 · 89074 · 89120 · 89122 · 89123 · 89183
North Las Vegas
89030 · 89031 · 89032 · 89081 · 89084 · 89085 · 89086 · 89101 · 89115 · 89130
Summerlin
89128 · 89134 · 89135 · 89138 · 89144 · 89145 · 89148 · 89161
Spring Valley
89102 · 89103 · 89113 · 89117 · 89118 · 89146 · 89147 · 89148 · 89178
Paradise
89074 · 89102 · 89103 · 89109 · 89118 · 89119 · 89120 · 89121 · 89123 · 89158 · 89169 · 89183
Enterprise
89113 · 89118 · 89119 · 89123 · 89139 · 89141 · 89148 · 89178 · 89179 · 89183
Sunrise Manor
89104 · 89110 · 89115 · 89121 · 89122 · 89142 · 89156
Boulder City
89005 · 89044
What a Monthly Review Covers
A short check that keeps counts honest
A monthly review is a short call with the owner and a read of the report notes. It checks that the lead count still matches the sales record, that no new page has added an unnamed event, and that the consent and privacy settings still match the policy.
The review also asks one question about each figure in the report: what decision would change if this number moved by a fifth. Figures that could not change a decision are dropped from the next report, so the owner reads fewer charts and trusts the ones left.
- Lead count checked against the sales or booking record
- New pages and forms checked for unnamed events
- Consent and privacy settings checked against the policy
- One decision recorded for each figure that matters
How Much Does Analytics Setup Cost
How the quote is built
I quote a fixed price for a written scope after a free look at the current accounts, tags and conversions. The scope lists every event, every tool connected and every report built, so the business knows the cost of the setup and the cost of any cleanup before work starts.
Ongoing review is quoted separately and only if the business asks for it. A well-documented setup usually needs a short check each quarter, and that check is scoped in writing with its own list of items.
- Number of conversions to set up and test
- Tools connected, such as booking, call tracking or a customer relationship tool
- Cleanup of an existing account, if one is needed
- Number of reports and dashboards built
Local Owners in the Valley
Where I meet business owners
Owners in the Valley can meet me at their office when a tracking review needs both the owner and the person who runs the site in the room. The rest of the work runs inside the accounts the business owns, so a remote review is common and just as thorough.
Most of the owners I work with run a service business with a small team and no analyst. They need a report that answers three questions each week: where new calls came from, which pages led to them and what changed since the last review.
Related Services for Measurement
Services that use the same numbers
Google Analytics Consultant Cost and Timing
Cost, timing and the scope
Analytics Questions Owners Ask
Questions asked before a setup
Reading an Analytics Report Without Guessing
Each number needs a definition
A report full of sessions, engagement rates and conversions can look convincing and still answer nothing. Before I build a dashboard, I write a one-line definition for each metric, the event that feeds it and the team member who acts on it. A number without a definition and an owner is removed from the report.
The report also names the gaps. If a conversion event fires twice, or the consent banner blocks a share of visits, the report shows the size of that gap next to the number. An owner can then read the trend knowing how much to trust it.
Proof, not promises
Case studies I can show you
The AI Marketing System I Run My Own Business On
A done-for-you AI marketing system in Las Vegas: a multi-agent workforce that runs your web, ads, follow-up, content, and reporting. You approve, it executes.
Read the case studyNurseForward: A Full Agency's Output on One Approval Chain
A full paid-acquisition funnel on one approval chain: landing page, ad strategy, creative, and graphics. NurseForward's top ad hit a 7.56% CTR at $0.31 CPC.
Read the case studyThe Content Waterfall: A 13-Step Approval Chain Where High-Confidence Content Auto-Publishes
An AI content system that runs a 13-step approval chain: high-confidence pieces auto-publish, the rest route to one human gate. The same engine I run on my own brand.
Read the case studyRelated Measurement Services
The services that use the numbers
Start With a Tracking Audit
A short call before any changes
Tell me which accounts the business uses, which conversions it cares about and which report it trusts least. I will reply in writing with the first findings I would check and what the setup would cost, whether or not the business hires me.