---
title: "Analytics that hold up without third-party cookies."
url: "https://www.omnicliq.com/en/labs/ga4/"
description: "Advanced analytics implementation: events designed for the business's questions, cross-domain tracking, identification from first-party data and export to the warehouse."
category: "labs"
locale: "en"
---

# Analytics that hold up without third-party cookies.

> Advanced analytics implementation: events designed for the business's questions, cross-domain tracking, identification from first-party data and export to the warehouse.

## Proper analytics, done once.

Most analytics implementations stay half-finished. Events fire, but schemas drift over time. Cross-domain tracking is set up, but user identification is vague. Reports look reasonable, but nobody has checked they match the reality of sales.

We build events for the questions the business really needs answered, not copied from a ready template. We set up cross-domain tracking with clear identification rules, bring in first-party data and send every event to the cloud warehouse, so attribution and cohorts run without the platform's retention limits.

The implementation is documented and version-controlled. Changes go through review and data quality is monitored continuously. The knowledge stays in the documentation and the code, not in the heads of those who built it.

## What changes for you.

- **Events for the business** — An event schema designed for the questions that must be answered: product interactions, funnel stages and touchpoints across all channels.
- **Cross-domain tracking** — Cross-domain and cross-subdomain tracking with clear identification. Journeys that pass through the site, the shop and post-purchase pages are recorded as single sessions.
- **First-party identification** — Hashed first-party data is built into measurement, so user-level insight holds up against browser restrictions and consent.
- **Warehouse export** — Every event is exported to the cloud warehouse. The platform's retention limits stop being a restriction: long-term analysis, attribution and cohorts run on the warehouse.
- **Consent respected** — Consent mode is set up by region. The implementation respects consent state on every event, improving both compliance and measurement quality.
- **Documented and reviewed** — Schema, event definitions and decisions are documented in code. Changes are reviewed with pull requests, and knowledge doesn't depend on any one person.
## How the implementation runs.

1. **Audit** — We assess the current implementation, the schema, tracking coverage, cross-domain behaviour and the gap between what you think is recorded and what is actually usable.
2. **Design** — A target for the schema, identification rules, consent handling and the export architecture. The plan is documented before any tag goes live.
3. **Build** — Events go live with schema checks. Identification and the warehouse export are set up, and data quality monitoring starts from day one.
4. **Verification** — Parallel running and cross-checking against real data from the sales platform. We resolve differences before the old implementation is retired.
## FAQ

### Is a new implementation really needed?
Often yes. Most implementations we audit have built-up drift, duplicate events, inconsistent schemas and undocumented customisations. It isn't always the right answer, sometimes targeted fixes are enough, and the audit shows which one fits your case.

### How do I know the new data is correct?
We run in parallel with the previous implementation, cross-check against the reality of the sales platform and verify every main event and dimension. Reliability is established before anything else starts relying on the new data.

### What about the warehouse export?
It is usually the most valuable part for anyone doing serious analysis. Event-level export unlocks long-term reporting, custom attribution and cohorts that the platform's own tools can't handle.

### How do you handle consent compliance?
Consent mode is set up by region and consent state is honoured on every event. Personal data is handled according to the law, and retention policies are applied in the infrastructure, not as a manual process.

### Can our team take over afterwards?
Yes, that is the goal. Documentation, code and training are part of the handover. The implementation is designed so an internal team can maintain it. Ongoing support stays available if you want it, but it isn't a requirement.