Beneath AnalyticsTracking & Analytics
Analytics Implementation
Analytics implementation is the full measurement stack, done correctly: GA4 with server-side tagging, event and data-layer design, BigQuery as the single source of truth, and dashboards your team trusts. Tracking stays accurate through ad blockers and privacy changes, and every event is documented and tested before it goes live.
Technology we use
- Analytics & measurement
- AmplitudeGA4Google Tag ManagerMixpanelSegment
- BI & reporting
- Looker Studio
- Data & warehousing
- BigQuerydbt
What this includes.
We implement the full analytics stack: GA4, server-side tagging, BigQuery, Mixpanel, and AI-powered dashboards. Accurate tracking, real multi-touch attribution, and insights enhanced by machine learning. GDPR-native by default.
GA4 and server-side tagging
Accurate GA4 implementation with server-side Google Tag Manager: better data quality, improved privacy compliance, and resilience against ad blockers and ITP.
BigQuery data warehousing
Your event data, marketing data, and product data unified in BigQuery: one source of truth that feeds every dashboard and report your team needs.
AI-enhanced attribution
Multi-touch attribution models powered by machine learning: moving beyond last-click to understand which channels and touchpoints actually drive conversion.
Dashboards and automated reporting
Looker Studio and custom dashboards built around decisions, not metrics. With AI-generated narrative summaries and automated anomaly alerts.
What changes when it lands.
Accurate through blockers and ITP
Data quality
Events unified in BigQuery
Source of truth
Automated, with anomaly alerts
Reporting
Common questions.
If nobody trusts the numbers, yes. We audit what is configured, find broken or missing events, and fix the collection layer. Most audits find gaps in conversion tracking that have been distorting decisions for months.
Tracking runs on your own endpoint instead of the browser, so first-party cookies last longer, most ad blockers stop blocking, and you can enrich or redact data before it reaches Google.
A standard GA4 and server-side setup takes four to eight weeks including QA. Complex stacks with multiple platforms and product analytics run longer, and we scope that before starting.
Yes. Consent-gated collection, EU-hosted tagging, and documented processing are built into the implementation rather than added later. We do not track users who have not consented: server-side or otherwise.
Related solutions.
- AI Consulting & Development
Cloud Implementation
Cloud implementation is how Beneath Analytics designs and deploys AWS, GCP, and Azure environments built for AI workloads: containerised, infrastructure-as-code, and secure to EU standards. You get MLOps pipelines that put models into production, plus cost governance so your cloud bill reflects what you actually use.
View solution - AI Consulting & Development
AI & Software Development
AI and software development means Beneath Analytics designs and builds web applications, APIs, and AI-powered products around your specific workflows, and advises on architecture, AI roadmaps, and technical due diligence before and during the build. Work is AI-native from the first line of code, delivered in testable iterations, and handed over only once it is running reliably in production.
View solution - Tracking & Analytics
Consent Management
Consent management means Beneath Analytics configures and integrates a consent management platform, as a Usercentrics certified partner, so that tags, pixels and analytics only fire after a visitor has agreed, and so that you keep a clear record of what each visitor agreed to. We connect consent to GA4, Google Ads, Meta and server-side tagging, so your data stays usable and your setup stays compliant.
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