Tracking that's complete,consent-compliant, measurable.
What a correct data flow looks like.
From user action to dashboard — controlled, consent-compliant, complete. Blue particles are analytics events, green are conversions, amber are audience signals.
Your data is incomplete and you don't know by how much.
Ad blockers strip ~30% of client-side pixels. iOS 14+ blocks another chunk. GDPR requires consent for everything that matters. By the end, GA4 says one number, Meta says another, Google Ads says a third — and none of them match the CRM.
The fix isn't another platform. It's an architecture: a consent manager that is the single source of truth, server-side tracking that survives the next Chrome update, and a warehouse where data lands before it goes anywhere else.
Four pillars for a data foundation that doesn't buckle.
- 01
Consent management as a gate
OneTrust (or Cookiebot) wired correctly: nothing leaves without explicit accept, everything is logged for audit. GDPR + ePrivacy checked off.
- 02
Server-side tracking (sGTM)
Server-side Tag Manager on GCP or AWS. Events leave from your own domain, aren't blocked by ad blockers, and arrive complete at Meta CAPI, Google Ads, TikTok Events API.
- 03
First-party warehouse
BigQuery (or Snowflake) as a single source of truth. Data lands here before it flows to dashboards, modeling, or audience activation. No silos.
- 04
Synchronised destinations
Google Ads, Meta, LinkedIn, TikTok, Microsoft Ads — all receiving the same event set, server-side, with deduplication wired correctly. Dashboards in Looker Studio against warehouse data.
Frequently asked questions
What is server-side tracking and why do I need it?
It moves data collection from the user's browser to your server. Measurement is no longer blocked by ad-blockers, ITP or third-party cookie restrictions, and the data sent to Google and Meta becomes more complete and accurate.
Is your tracking GDPR and Consent Mode v2 compliant?
Yes. We implement Consent Mode v2 and collect only what consent allows. Before consent we use aggregated, non-personal signals; after consent, full measurement — all documented for audit.
What does an "AI-ready" data architecture mean?
A single place where your marketing and sales data is cleaned, versioned and connected (ETL + data warehouse). From there it can feed dashboards, predictive models and AI assistants, instead of being scattered across ten tools.
Am I losing data to cookie blocking? How do I recover it?
Yes. Ad-blockers and browser limits on third-party cookies mean some conversions go unmeasured. We recover them through server-side collection (Meta CAPI, GA4 Measurement Protocol) and first-party data, so you optimize on real, not partial, data.
How long does implementation take?
A basic setup — Consent Mode v2 plus server-side for Google and Meta — is usually live within a few weeks. The full data architecture is built in stages, by your priorities.
Ready to build something together?
A 30-minute call. We clearly explain what we'd build for you and what it costs. No pitch, no slides.