Google Tag Manager

Tag integrity, monitored between releases.

Connect GTM to Attributed Intelligence for continuous review of containers, triggers, consent state and destination coverage. Read-only auditing; no changes without explicit client approval.

The commercial proposition

A tag map is only accurate the day it's made.

Every release, consent update or third-party change can silently break measurement. Attributed Intelligence reads your GTM container inventory — tags, triggers, variables, versions and consent configuration — where permissions allow, and continuously reviews firing coverage against the destinations that matter. Auditing and monitoring are strictly separated from any write-back; changes only ever happen with explicit client approval.

Events
  • page_view
  • form_submit
  • add_to_cart
  • purchase
Triggers & variables
Consent state
  • ad_storage
  • analytics_storage
  • ad_user_data
  • ad_personalization
Tag firing
Destinations
  • GA4
  • Google Ads
  • Meta CAPI
  • Server container
A tag map is only accurate the day it's made. Attributed Intelligence watches for changes to triggers, consent behaviour and destination coverage between reviews.
Evidence contributed

What GTM gives us — read-only, permissioned.

Container inventory

Tags, triggers, variables and versions across web and server containers where access is granted.

Firing coverage

Which destinations actually receive which events, on which pages and under which consent states.

Consent behaviour

Consent Mode signals, region-specific behaviour and observed vs modelled traffic.

Release regression risk

Container versions correlated with downstream event-volume changes over time.

Typical Findings

Where tag health quietly slips

  • — Duplicate tags firing the same event to the same destination.
  • — Broken destinations (Meta CAPI, Google Ads, GA4) after a release.
  • — Triggers that no longer match after a template change.
  • — Consent mode misconfigured — under- or over-restricting measurement.
  • — Legacy tags left enabled after platforms were retired.
Example Recommendations

How we fix it, with the client

  • — Prune the container and consolidate duplicated tags with owner sign-off.
  • — Rebuild broken destination tags and re-QA in a staged environment.
  • — Standardise trigger patterns against a documented dataLayer contract.
  • — Reconfigure consent mode to match legal counsel's guidance for each region.
  • — Introduce a lightweight change-log so tracking regressions can be traced quickly.
Implementation Packs

From tag audit to shipped work.

GTM evidence flows into Implementation Packs alongside GA4 and destination-platform inputs. Each Pack sets out the finding, the change requested, the owner, the pre/post QA and the rollback plan. Any container change requires explicit client authorisation.

Owner

Analytics engineer or marketing operations lead — with legal/compliance where consent is affected.

QA & validation

Debug-mode verification, event-volume delta review, downstream destination checks.

Outcomes supported

Tracking integrity, protected paid-media efficiency, reduced downside risk, AI-era operating maturity.

Where this fits

Restore tag integrity across your revenue stack.

45 minutes with a senior operator — we'll walk through your container and show you exactly where measurement is at risk.