Component 01
Measurement plan
We start from business goals and define which events, conversions and dimensions matter. We build a clear measurement and tagging plan, so the setup collects exactly the data you need, without noise.
●GA4 & Google Tag Manager
GA4 and Google Tag Manager implementation for precise, actionable data
Data should be the foundation of every marketing decision. We deliver GA4 setup and Google Tag Manager configuration correctly from the ground up: measurement plan, tags, events and conversions, so you collect complete, clean, trustworthy data.
Whether you're migrating from Universal Analytics, starting from scratch or want an audit of your current setup, we make sure every important interaction is measured correctly and ready for reporting.
What's included
- checklistMeasurement and tagging plan
- settingsGA4 configuration (property, data streams, settings)
- sellGoogle Tag Manager setup and configuration
- ads_clickEvent tracking and conversions (including ecommerce)
- verified_userConsent Mode and GDPR compliance
- monitoringBigQuery export and reporting dashboards
When you need a GA4 setup
When you can't trust your data
Any decision based on bad data is a bad decision. If GA4 and Google Tag Manager aren't set up correctly, you report double conversions, missing events or misclassified traffic. A correct setup fixes the foundation all your marketing relies on.
01
Data you can't trust
Double conversions, missing events or mismatches between platforms make you decide on wrong numbers.
02
Universal Analytics migration
You've moved or are moving to GA4 and want the data model and measurement history correct from the start.
03
No consent compliance
You don't have Consent Mode set up, and data collection doesn't meet GDPR requirements.
04
Limited reporting
You don't have access to raw data or clear dashboards, so reporting stays shallow and hard to use.
Service components
What a complete GA4 setup covers
From the measurement plan to GA4, GTM and BigQuery configuration, each component covers a stage on the way to trustworthy data. Tap "See more" for details.
Component 02
GA4 configuration
We configure the GA4 property correctly: data streams, collection settings, retention, internal filters, cross-domain and custom definitions. We make sure the GA4 data model reflects your business reality.
Component 03
Google Tag Manager setup
We set up and configure Google Tag Manager from scratch or clean up an existing container: tags, triggers, variables and a solid data layer. So you manage measurement without editing site code for every change.
Component 04
Event tracking & conversions
We configure GA4 event tracking for important interactions: forms, clicks, scroll, video and ecommerce events (view_item, add_to_cart, purchase). We mark key conversions and make sure they fire correctly.
Component 05
Consent Mode & GDPR
We implement Consent Mode and integrate your consent platform (CMP), so data is collected in line with GDPR. Optionally, we set up server-side tracking for accuracy and greater control over your data.
Component 06
BigQuery & reporting
We enable GA4 export to BigQuery for raw, unsampled data, and build dashboards in Looker Studio. So you get business-level reporting and a base for advanced analysis and predictive models.
Our process
From audit to validation, with verified data at the end
We don't just deliver tags. We verify every event and every conversion, so you leave with a setup you can trust.
query_stats
Step 01
Audit & measurement plan
We analyze the current setup and goals, then define the measurement plan: events, conversions and dimensions.
settings
Step 02
GA4 & GTM setup
We configure the GA4 property, the GTM container, the data layer and the tags, according to the measurement plan.
ads_click
Step 03
Event tracking & consent
We implement events, conversions, ecommerce and Consent Mode, with the consent platform integrated.
fact_check
Step 04
Validation & QA
We test every tag and event, verify data accuracy and remove duplicates or collection errors.
monitoring
Step 05
BigQuery, reporting & handover
We enable the BigQuery export, build the dashboards and hand over documentation, so your team uses the data with confidence.
What we configure
Everything that goes into a correct GA4 setup
We check and configure every element that decides whether your data is complete and trustworthy.
01
Data layer
We structure a solid data layer as the single source of truth for tags and events.
02
GA4 configuration
Property, data streams, retention, filters and custom definitions, configured correctly.
03
GTM configuration
Clean containers, tags, triggers and variables, easy to maintain.
04
Event tracking
GA4 events for important interactions, marked correctly as conversions.
05
Ecommerce tracking
view_item, add_to_cart, begin_checkout and purchase, with correct values and parameters.
06
Consent Mode & GDPR
CMP integration and Consent Mode, for compliant data collection.
07
BigQuery export
Raw, unsampled data for advanced analysis and custom reports.
08
Dashboards & reporting
Looker Studio reports, clear and oriented to business decisions.
09
Validation & QA
We test every tag and event and remove duplicates, so data is trustworthy.
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GA4 setup FAQ
GA4 implementation is the process of correctly configuring Google Analytics 4 and Google Tag Manager on your site: measurement plan, tags, events, conversions, consent and reporting, so the data collected is complete, clean and trustworthy.
GA4 (Google Analytics 4) is the analytics tool that collects and reports data. Google Tag Manager (GTM) is the system through which we deliver and manage tags and events to GA4 and other platforms, without editing code for every change.
Cost depends on site complexity, the number of events and integrations (ecommerce, BigQuery, server-side). We offer both standard setups and advanced configurations; request a custom quote.
An audit checks whether GA4 and GTM are configured correctly: duplicate tags, missing or wrong events, filters, consent, ecommerce data and conversion accuracy. The result is a prioritized list of issues and fixes.
BigQuery export gives you access to raw, unsampled data for advanced analysis, custom reports and combining with other data sources. It's the base for business-level reporting and predictive models.
A standard setup usually takes 1-3 weeks, depending on complexity; advanced configurations (ecommerce, server-side, BigQuery) can take longer, including data validation.
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