Tracking Reliability Diagnostic
Get a clear answer on whether your analytics can be trusted.
The Tracking Reliability Diagnostic is a fixed-scope assessment designed to determine whether your current analytics setup can be relied upon for decision-making.
Rather than reviewing reports or outcomes, this diagnostic focuses on how tracking is configured, maintained, and interpreted across platforms such as GA4 and Google Tag Manager.
The outcome is clarity on whether your data reflects real user behaviour — or whether hidden issues may be influencing decisions.
You’ll speak directly with Liam. We’ll confirm scope, and if it’s not a fit, we’ll tell you quickly.
Why tracking reliability matters
In many businesses, analytics continues to function even when tracking accuracy degrades.
Conversions may still appear in reports and dashboards may still update. However, attribution logic, event definitions, and platform behaviour can gradually drift away from how users actually interact with your site.
This can lead teams to make decisions using data that appears complete, but is quietly misleading.
What the diagnostic assesses
- GA4 configuration and event structure
- Google Tag Manager implementation and governance
- Conversion and event logic alignment with real user behaviour
- Potential tracking gaps caused by site changes or consent handling
- Known sources of discrepancy between platforms
What this diagnostic is not
- A performance or campaign review
- A conversion rate optimisation exercise
- A reporting or dashboard build
- An open-ended analytics audit
What you receive
Following the diagnostic, you receive a clear summary of findings outlining whether your analytics setup can be relied upon in its current state.
- The nature of any issues identified
- Why they matter for interpretation and decision-making
- What level of effort is typically required to address them
Useful even if you don’t proceed further — you’ll still leave with clear next steps.
How this diagnostic is typically used
Many teams use the Tracking Reliability Diagnostic as a first step before deciding whether ongoing analytics management is needed.
In some cases, the diagnostic confirms that analytics is largely reliable. In others, it highlights structural issues that benefit from ongoing management.
There is no obligation to proceed beyond the diagnostic.