Tracking that your team can actually trust
I design and implement robust analytics setups for Shopify stores using GTM, server-side tagging, and structured data layers—so your marketing, product, and growth decisions are based on cleaner signals.
What I implement
GTM (web) architecture
- event model
- naming conventions
- variable strategy
- triggers and QA flow
Server-side GTM
- server container setup
- routing to GA4 / Ads / Meta
- event transformation and validation
- first-party endpoint setup
Shopify data layer / custom pixels
- complete event coverage
- product/cart/checkout metadata
- consistent parameters for analytics + ads
- dedup-ready events (where applicable)
Consent-aware tagging
- consent signals wired properly
- tags behave correctly by consent state
- cleaner compliance posture without breaking measurement
QA & troubleshooting
- event debugging
- duplicate event cleanup
- broken tag audits
- mismatch diagnosis (GA4 vs Ads vs Shopify)
Why this matters more than “just tags”
A weak implementation creates noise:
- missing events
- duplicate purchases
- broken attribution
- bad optimization signals
- wasted ad spend
A strong implementation improves everything downstream:
- reporting
- audience building
- bidding inputs
- testing
- decision speed
How I work
- Audit – I review your current setup and identify gaps
- Implementation plan – event map, tracking plan, priorities
- Build – GTM / sGTM / Shopify setup
- QA – validation across tools and user flows
- Handover – documentation and next-step recommendations
Need a technical tracking partner for your Shopify stack?
Let’s review your current implementation and clean it up properly.