DATA & ANALYTICS

Google Analytics

Turn Google Analytics 4 into a live signal source for growth and AI decisions

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Overview

Google Analytics 4 is Google's event-based measurement platform for websites and apps, tracking user journeys, conversions, and engagement across sessions and devices. It replaces session-centric reporting with an event and parameter model, ships with a free BigQuery export, and exposes reporting and admin surfaces through the Data API and Measurement Protocol. EGGKNITE treats GA4 as instrumented ground truth for how people find, use, and convert on your properties.

How we build with it

We stand up GA4 as a clean, event-first measurement layer: a documented event schema, consistent parameter naming, conversion events mapped to real business outcomes, and consent-mode wiring so data holds up under privacy rules. We deploy tags through Google Tag Manager (client and server-side), stream events server-to-server via the Measurement Protocol for offline and CRM-side conversions, and turn on the native BigQuery export so raw event data lands in a warehouse we control.

From there we build on the Data API to pull GA4 into dashboards, attribution models, and automated reporting, and we join the BigQuery export with ad spend, CRM, and revenue data to answer questions the GA4 UI cannot. That warehouse-grade dataset also becomes the grounding layer for the AI and agentic systems we build, so models reason over your actual behavioral data rather than guesses.

Server-side conversion tracking that survives privacy loss

We move tagging to a server-side GTM container and send Measurement Protocol events for signups, qualified leads, and closed revenue, recovering conversions lost to browser restrictions and feeding cleaner signals back to Google Ads.

Warehouse-native attribution and reporting

We activate the BigQuery export and join GA4 events with ad platforms and CRM to build multi-touch attribution and blended CAC/LTV dashboards, replacing the limits of the standard interface with modeling we control.

Funnel and event instrumentation audits

We rebuild the event schema, fix double-counting and misfired tags, and define conversion events tied to revenue, so downstream optimization and bidding run on trustworthy data.

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FAQ

Do you work with GA4, or can you still support Universal Analytics?

We work in GA4, the current and supported version. Universal Analytics stopped processing data in 2023, so we focus on GA4 implementation, migration cleanup, and preserving historical UA data in BigQuery where it still matters.

Can you get GA4 data out of the interface into our own systems?

Yes. We use the free BigQuery export for raw event-level data and the GA4 Data API for programmatic reporting, then pipe both into warehouses, dashboards, and models you own and control.

How do you handle consent and privacy with GA4?

We implement Google Consent Mode, configure data retention and regional controls, and route tagging server-side so collection respects user consent while still producing usable modeled data for measurement.

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