Yes. We configure the property and data streams, define key events and custom dimensions mapped to real outcomes, deploy tracking through Tag Manager, and link GA4 to Google Ads and the CRM.
← Our stack
Properties, key events, custom dimensions, and GTM-deployed tracking that ties paid and organic traffic to revenue-driving conversions.
analytics.google.com ↗How we use GA4
GA4 is the measurement layer under each client account. We configure the property and web data streams, then define key events, custom dimensions, and custom metrics around how the business makes money. We deploy tracking through Google Tag Manager and use server-side collection where reliability matters. GA4 then sends audiences and conversions to Google Ads and connects paid and organic traffic to on-site behavior.
If the numbers in your ad accounts and your CRM disagree, GA4 is where you settle the argument.
Why GA4
GA4 measures paid, organic, and direct traffic against the same conversion events. Google Ads, Meta, and the CRM can read from or write to that shared measurement layer. Its event-based model maps to real funnels, its GTM and Ads integrations are mature, and server-side tagging recovers events that browser restrictions would otherwise drop.
GA4 attribution setup for paid and organic traffic
GA4 sits under paid, organic, and direct traffic, so configuration errors affect every channel report. We map key events to business outcomes and add custom dimensions and metrics around the client's revenue model. Linking GA4 to Google Ads lets conversions and audiences flow both ways. We reconcile those numbers against the ad platforms and CRM so paid performance, organic growth, and on-site behavior use the same definition of a conversion.
Server-side GTM tagging that survives cookie loss
Ad blockers, browser privacy defaults, and short cookie lifetimes drop events before they reach GA4. Where reliability matters, we use Google Tag Manager with a server-side endpoint that forwards events to GA4 and the ad platforms. This recovers conversions lost by client-side tags and gives us control over the data leaving the page. Bidding, budget, and SEO decisions then use a more complete event record.
How we do it
How we implement GA4
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Configure property and streams
We set up the GA4 property and web data streams cleanly, so the foundation is right before any events are defined and historical data is not compromised by a rushed or default configuration.
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Define key events
We map key events, custom dimensions, and custom metrics to revenue-driving outcomes.
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Deploy through GTM
We ship tracking through Google Tag Manager, server-side where reliability matters, so events fire consistently and survive ad blockers, browser privacy defaults, and cookie loss.
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Link to Ads and CRM
We link GA4 to Google Ads so conversions and audiences flow both ways, and reconcile it against the CRM so every downstream tool reads from one agreed source of truth.
Where we use it
Key-Event & Conversion Config
Properties, web data streams, and key events mapped to real business outcomes, with custom dimensions and metrics so reporting reflects how each client converts.
GTM-Deployed Event Engineering
Tracking shipped through Google Tag Manager, server-side where it counts, so events fire reliably and are not lost to ad blockers or cookie restrictions.
GA4-to-Ads Linking
GA4 linked to Google Ads so conversions and audiences flow both ways, feeding the closed-loop attribution we build out with the CRM.
Systems we pair Google Analytics 4 with
Google Ads
We link GA4 to Google Ads so conversions and audiences flow both directions, feeding the closed-loop attribution and offline conversion imports we build with the CRM.
Google Tag Manager
GTM deploys and governs tracking. We use server-side collection where reliability matters and keep tag logic out of the application code.
CallRail
We send tracked call events into GA4 so phone leads appear alongside on-site conversions, and marketing sees the full funnel instead of one that ignores the calls.
GoHighLevel
CRM outcomes reconcile against GA4 so on-site behavior and closed revenue read as one story, and attribution reflects which channels produced customers, not just sessions.
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