A Web Analytics Agency for Numbers You Can Actually Act On
Web analytics helps home services groups, ecommerce brands, professional services firms, and course creators trust their own numbers and tie every channel to actual revenue, not platform-reported clicks. We deliver a GA4/GTM audit or implementation, a documented event taxonomy, conversion definitions tied to revenue or booked jobs, CRM and ad-platform integration, and a dashboard built to drive a decision — not just display one. Most implementation work runs through the $3,500 Automation Build; ongoing dashboard and reporting maintenance folds into the $3,500/month Growth Retainer.
Who it's for
Multi-location home services groups that already have leads coming in but can't tie a single one to a booked job — call tracking exists, if it exists at all, as a separate tool nobody wired into the CRM. Ecommerce and DTC brands where GA4 is live and ROAS looks fine on the platform dashboard, but nobody can report on margin or LTV, only on-platform revenue. Professional services firms with a long, relationship-driven sales cycle who need attribution that survives a six-month consideration window, not last-click credit to whichever channel happened to be there at the end. Course creators and expert brands running webinar funnels who can see registrations but not which traffic source actually produces an enrollment. In every case: some tracking already exists — GA4, a CRM, an ad account — and the problem is that nobody trusts what it's reporting.
Who it's not for
This isn't a fit if you don't have a live GA4 property, ad account, or CRM to audit yet — the Automation Build assumes there's real tracking, spend, or customer data to work from, not measurement built from a blank slate. You're a solo operator with no dedicated marketing budget beyond occasional DIY spend. You're already retained by a $15,000+/month agency and need an in-house-scale data team or contractual SLAs — that's a different tier of engagement than a 13-person remote team. You're shopping on lowest price alone — our pricing starts above the sub-$2,500/month commodity band by design. You want a dashboard as a status symbol, not something you'll actually open monthly to make a decision. You're in a heavily regulated vertical, like healthcare or financial services, that needs compliance infrastructure we haven't published or verified.
What You Get
| Deliverable | What it means |
|---|---|
| GA4 and GTM audit or implementation | A full read of what exists today — or a clean build from scratch if there is nothing to audit — before any dashboard gets touched. |
| Event taxonomy and data-layer spec | A documented naming convention and event dictionary, so GA4, the CRM, and ad platforms all report the same conversion the same way. |
| Conversion definitions tied to revenue | Booked jobs, completed sales, qualified consultations, or enrollments — defined once, in writing, not left to individual judgment. |
| CRM and ad-platform integration | Conversion data flowing both directions, so a lead in the CRM and a conversion in the ad account are provably the same event. |
| Server-side and consent-mode tracking | Applied where the platform or your privacy posture requires it — not bolted on as an afterthought once first-party tracking starts failing. |
| Dashboard build | Built in Looker Studio around the decision it needs to drive each month, not every metric GA4 happens to expose. |
| Documentation and handover | The taxonomy, data-layer spec, and dashboard logic written down and handed over — not a black box only we can touch. |
Platforms & Integrations
- GA4
- Google Tag Manager
- Looker Studio
- Search Console
How It Works
- 1
Audit
We read the actual GA4 property, GTM container, and existing reports before recommending anything — findings in writing, including what already works.
- 2
Define
Event taxonomy, conversion definitions, and a data-layer spec get documented and agreed on before a single tag gets built or rebuilt.
- 3
Build
GA4 and GTM get implemented or corrected against that spec, with CRM and ad-platform integration wired in at the same time, not bolted on after.
- 4
Automate reporting
Dashboards get built around the decisions they need to drive, and wired to update themselves — not rebuilt by hand every month.
- 5
Maintain
Tracking gets checked against platform changes on an ongoing basis, so a consent-mode update or an iOS change gets caught, not discovered three months later in a quarterly review.
Timeline: GA4/GTM audit findings in writing within the first 1-2 weeks. Event taxonomy, conversion definitions, and core implementation typically complete by week 3-4. CRM integration and the first working dashboard usually land by week 5-6, depending on how many systems need to talk to each other. Ongoing maintenance and reporting continue under the Growth Retainer once implementation is done.
What It Costs
Where most web analytics engagements start — GA4/GTM audit or implementation, event taxonomy, conversion definitions, and CRM/ad-platform integration, scoped and priced before we start.
US market range, 2026 research: $3,000-15,000+ for GA4/GTM implementation and dashboard builds at the SMB/mid-market end — for context, not our price.
Ongoing dashboard and reporting maintenance once implementation is done — checking tracking against platform changes, updating the dashboard as goals shift, folded into the same retainer as strategy and traffic work, not billed as a separate line item.
US market range, 2026 research: $5,000-30,000 for predictive analytics and reporting projects, with complex enterprise analytics programs commonly exceeding $15,000-30,000/month — for context, not our price.
Methodology & Evidence
Web analytics work follows the same ULEY Hive System as every other engagement: Audit, Build, Automate, Scale, always in that order. Audit means we read the actual GA4 property and GTM container before recommending anything — no rebuild-first reflex, no assuming the existing setup is worthless. Build means the event taxonomy and conversion definitions get documented and agreed on before a single tag changes, so the dashboard that follows is built on something everyone trusts. Automate means dashboards and integrations get wired together once, so reporting doesn't depend on someone remembering to pull three exports by hand. Scale means the reporting keeps working as spend and channels grow, checked against platform changes on an ongoing basis instead of discovered broken during a quarterly review. Automating a tracking setup nobody's defined, or scaling reporting nobody trusts, is how a dashboard turns into something no one opens.
How we build an event taxonomy before touching a dashboard
Before any tag gets built or rebuilt, we document an event taxonomy: every conversion event, its name, its trigger, and which system (GA4, CRM, ad platform) owns the source of truth for it. That spec gets agreed on in writing before implementation starts, because a dashboard built on an undefined taxonomy just reports numbers nobody can reconcile later. The data-layer spec and naming convention get handed over as documentation, not kept as tribal knowledge only we can interpret.
N/A — this describes a process, not a measured result.
Web analytics agency — Common Questions
Almost always because the two systems were never given a shared definition of what counts as a conversion. We document one event taxonomy both sides use — GA4, CRM, and ad platforms all counting the same event the same way — instead of leaving each system to define success on its own.
Both, when it matters. Tracking that reports correctly but never gets turned into a dashboard someone actually opens hasn't solved the real problem. We build the Looker Studio dashboard around the decision it needs to drive each month, not just wire the tags and hand it back.
That's what the ongoing Growth Retainer maintenance covers. Tracking gets checked against platform changes on a regular basis, so a break gets caught and fixed, not discovered three months later when a report suddenly looks wrong.
No — we audit what's live before touching anything. If the existing setup is mostly sound, we fix the gaps and document the taxonomy that's missing. We don't rebuild a working implementation just to look busy.
A day-rate consultant usually fixes the immediate tag problem and leaves. We document the event taxonomy and data-layer spec, integrate the CRM and ad platforms so the numbers agree, and hand over documentation the next person can actually use — not just a working GA4 property with no record of why it's built that way.
Yes — this is the specific gap for most home services clients we see. We wire call tracking and CRM data together so a lead is only counted as a win once it's a completed, paid job, not the moment the phone rings.
Margin and LTV, not ROAS alone. Platform-reported ROAS can look healthy while contribution margin erodes underneath it — we build reporting that surfaces the difference, so spend decisions get made on profit.
No. Thirty days notice to leave, always — no annual lock-in. If the reporting isn't earning its line item month to month, that's on us to fix or you to walk away from.
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