GTM

Custom Data Layer Design

Data layer architecture and specification for scalable, platform-agnostic tracking with developer-ready documentation.

TLDR

A platform-agnostic data layer architecture with naming conventions, e-commerce schema, and a developer-ready specification document.

Best for

Teams about to build a new site or re-platform, or those whose current data layer has grown inconsistent and difficult to extend.

  • 6-12 hours
  • Works with GTM, Tealium, Adobe Launch, or any TMS
  • Developer-ready specification with push snippets
  • Naming convention guide included

Depending on your existing setup, some steps below can be shortened or skipped entirely.

Delivery roadmap

How we deliver Custom Data Layer Design.

Step 01

Requirements gathering

We work with your analytics, marketing, and development teams to map every tracking requirement to a specific data layer event and its parameters.

Step 02

Architecture design

The data layer structure is designed: event names, parameter keys, value types, and e-commerce schema where applicable.

Step 03

Naming convention definition

Consistent naming conventions are documented so future events follow the same pattern without a review cycle each time.

Step 04

Developer documentation

The specification is written for developers, with push snippets, timing requirements, and edge case handling clearly explained.

Step 05

Handover and review

We review the spec with your development team and answer implementation questions before work begins.

Overview

How to know if you need Custom Data Layer Design

  • Every new tracking requirement becomes a custom project because there is no agreed structure to extend.
  • Developers implement events differently each time because there is no specification to work from.
  • You are about to build or re-platform a site and want tracking defined before development starts.
  • Your current data layer has grown inconsistently and the tag manager is patching over structural problems.
  • You want to switch tag management platforms but your current data layer is too tightly coupled to the existing setup.

What Custom Data Layer Design covers

  • Data layer architecture designed from scratch or redesigned from your existing structure.
  • Platform-agnostic event and parameter naming so the spec works with GTM, Tealium, Adobe Launch, or any other TMS without rework.
  • Naming convention definition so future events follow the same pattern without a review cycle each time.
  • E-commerce schema if applicable: product impressions, add-to-cart, checkout steps, purchase.
  • Developer-ready specification with push snippets, timing requirements, and edge case handling.

Custom Data Layer Design outcomes

  • A specification document developers can implement directly, with push examples for every event.
  • Naming conventions your team can extend without revisiting the design each time a new event is needed.
  • A foundation that works regardless of which tag management platform you use now or move to in future.

Custom Data Layer Design scope and hours

  • 6-12 hours
  • Stakeholder input is required from analytics, marketing, and development teams to map tracking requirements correctly.
  • E-commerce schema adds to scope if not already included in the initial brief.
  • Delivery confirmed after requirements are gathered.

What makes our Custom Data Layer Design different

  • The specification is a developer-ready document. Push snippets, where and how to trigger them, including possible edge cases from previous experiences.
  • The architecture is platform-agnostic by design, so it does not need to be rebuilt if you change your TMS.
  • Naming conventions are applied at design time, not retrofitted later.
  • You don't get a diagram. You get a document developers can open and start implementing from.

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FREE AUDITS

Want to try before you commit?

  • Looking to try out Beluacode but not sure about it? You can always ask us for a free audit.
  • Free, no strings attached. We deliver the results and wish you a great day.
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Free

Free Generic Tracking

A high-level review of your overall tracking setup: event coverage, obvious configuration errors, attribution quality, and the highest-impact quick wins across your analytics and ad platforms.

Free

Free GTM Container

A surface-level review of your Google Tag Manager container: tag count, obvious duplicates, missing consent triggers, broken references, and the highest-impact issues. Delivered as a written summary.

Free

Free Consent Mode

A basic review of your Google Consent Mode v2 implementation: whether it is configured, which mode is active (Basic or Advanced), and whether consent states appear to be respected by your key tags.

Free

Free Website Performance

A Lighthouse-based snapshot of your Core Web Vitals on key page templates, with a basic assessment of how your tag stack is affecting page speed. Delivered as a written summary with the top tag-related performance issues identified.

Free

Free GA4 Analytics

A spot-check of your GA4 property: event volume, obvious tracking gaps, and a comparison of your reported conversion numbers against expected behaviour. Delivered as a written summary with the top issues identified.

Frequently Asked Questions

Do we need to be on GTM specifically?
No. The data layer specification is platform-agnostic and works with any tag management system. If you use Tealium, Adobe Launch, or another TMS, we design the spec accordingly.
Do developers need to be involved in the process?
Yes, at the requirements stage and during the handover review. We need to understand your application's data structures to write push snippets that work against your actual codebase.
What if we already have a data layer in place?
We audit the existing structure first and design from there. If parts of it are sound, we keep them. If the structure is inconsistent, we redesign it and document the migration path.
Does the spec include e-commerce events?
Yes, if your site has e-commerce. We include the full event schema from product impression through purchase, with item parameter structure and revenue handling.

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