A complete path to becoming a skilled analytics implementation specialist, the person who makes sure the data behind every business decision is accurate, complete, and trustworthy. This roadmap takes you through the two leading analytics platforms, Adobe Analytics and Google Analytics 4, alongside the JavaScript knowledge that separates a tag-deployer from a genuine implementation engineer. It runs over 7 months in three phases: learn the platforms, practise on real setups, then build and document your own implementations.
I recommend you bookmark this page, as I will be adding new articles every day.
Andrei
The Timeline
Phase 1: Learn the platforms and language: 3 months Work through every article in the three tracks below. You will start with Adobe Analytics, move through GA4, and finish with the JavaScript fundamentals that underpin both. Each track builds the technical depth you need to implement tracking correctly rather than just copying and pasting tags. This is the longest phase because solid foundations are what make everything else reliable.
Phase 2: Hands-on: 2 months Reading about tags and variables is not the same as deploying them. In this phase you follow guided implementations: configuring containers, building dataLayers, wiring up events, and validating that data lands correctly. You practise the full cycle of implement, debug, and verify on real-world scenarios.
Phase 3: Build and document your own implementations: 2 months The final phase is where you become an engineer. You plan and build complete tracking setups from scratch, write the documentation that keeps a setup maintainable, and validate your own work the way a specialist would. This is what gives you a portfolio and the confidence to own an implementation end to end.
Total: 7 months from beginner to job-ready implementation specialist.
Track 1: Adobe Analytics Implementation
The enterprise analytics platform, taught from preimplementation planning all the way through to validation and privacy compliance:
- Pre-implementation tasks
- Architecture
- Adobe Experience Platform Launch
- Configure the Adobe Analytics extension
- Implement page naming: https://datalad.co.uk/adobe-analytics-implement-page-naming/
- Implement predefined traffic variables
- Implement custom traffic variables
- Tracking campaign conversion
- Implement conversion events
- Implement the products variable with events
- Implement the purchase confirmation page
- Implement custom conversion variables
- Implementation validation
- Privacy and Consent Mode
- dataLayer structure
Track 2: Google Analytics 4 Implementation
The most widely used analytics platform, covered from the building blocks through to advanced tracking and ongoing monitoring:
- Tags
- Triggers
- Variables
- iFrame tracking
- Form tracking
- Cross-domain tracking
- Ecommerce tracking
- Custom UTM parameters
- Overwrite referrer
- Data retention across pageviews
- Marketing pixels
- Enhanced conversions
- Monitoring and alerts
- Data imports: https://datalad.co.uk/ga4-data-imports/
- SPA tracking
- Tag sequencing
- Zones
- Privacy and Consent Mode + QA: https://datalad.co.uk/how-to-qa-a-onetrust-consent-management-implementation/
- dataLayer: https://datalad.co.uk/comprehensive-data-layer-guide/
- Documentation: https://datalad.co.uk/digital-tracking-documentation-template/
Track 3: JavaScript
The language that turns an implementation analyst into an implementation engineer. Understanding JavaScript is what lets you build custom dataLayers, debug tracking, and handle the cases no template covers:
- Basics
- Operators
- Control flow
- Arrays
- Objects
- Prototypes
- Inheritance
- Classes
- Tooling
See you soon.
