dataLayer Architecture - the foundation of accurate data.

Every analytics implementation is only as good as the dataLayer underneath it. We design yours from scratch - a clean, documented schema that captures exactly what your business needs and gives your development team everything they need to implement it correctly.

dataLayer DesignEvent TaxonomySDRDocumentation

What We Do

What proper dataLayer architecture looks like.

Most dataLayer implementations are reactive - tags get added as needed, events get named inconsistently, parameters vary between pages. The result is a fragile structure that breaks when the site changes and produces data nobody fully trusts. We take a different approach: starting from your business objectives, defining what needs to be measured and why, then designing a clean event taxonomy and dataLayer schema that is consistent, scalable, and fully documented before a single developer writes a line of code.

Business objective mapping - understanding what questions your data needs to answer
Event taxonomy design - naming conventions, event structure, and parameter definitions
Full dataLayer schema documentation for every tracked interaction
Solution Design Reference (SDR) document - the single source of truth for your implementation
Developer handover package - clear specifications your team can implement without guesswork
Implementation review and validation - checking the dev build against the spec before GTM configuration
Ecommerce dataLayer design for product impressions, add to cart, checkout, and purchase events

What You Get

Complete event taxonomy document
Full Solution Design Reference (SDR)
Developer implementation guide
dataLayer code examples for each event
Validation checklist for QA sign-off

Our Process

How we approach every engagement.

Discovery & Audit

We start by understanding your goals and reviewing what is already in place before we recommend or build anything.

Plan & Document

A detailed spec is produced before implementation - your team knows exactly what is coming and why.

Build & Validate

Implementation in staging first, validated thoroughly, then moved to production with a clean QA sign-off report.