KEY TAKEAWAYS
WHAT HIGH-PERFORMANCE MEDIA EXECUTION NOW REQUIRES.
01
Tracking coverage
A useful audit confirms whether key user actions, revenue events, form flows, calls, and campaign signals are captured consistently across the funnel.
02
Data quality
Data decisions are only as strong as the naming conventions, event parameters, filters, consent behavior, and platform settings behind them.
03
Attribution clarity
Auditing source, medium, UTM, referral, CRM, and paid-platform handoffs helps remove the noise that hides true channel performance.
04
Reporting confidence
Dashboards should answer business questions clearly instead of mixing vanity metrics, duplicated events, and inconsistent definitions.
05
Action roadmap
The output should prioritize fixes by business impact, implementation effort, and risk rather than burying teams in raw issue lists.
FOUR ANALYTICS AUDIT PILLARS
BUILD CONFIDENCE BEFORE YOU SCALE THE DECISIONS BUILT ON DATA.
SCROLLDRAG TO EXPLORE
THE GAP
WHY MOST REPORTING STACKS LOSE TRUST.
FRAGMENTED MEASUREMENT
DASHBOARDS LOOK CLEAN. THE SIGNALS UNDERNEATH DO NOT.
- +Teams compare platform reports that were never configured to agree.
- +Key events are marked without verifying that they fire correctly.
- +UTMs, referrals, and cross-domain journeys distort channel decisions.
- +Dashboards mix business metrics with vanity or duplicated events.
- +Tracking issues are found only after spend has already been wasted.
CONFIDENCE-LED ANALYTICS
TRACKING, ATTRIBUTION, AND REPORTING MOVE TOGETHER.
- +Every important business action is mapped, tested, and documented.
- +Events, parameters, and key events follow a clear measurement plan.
- +Attribution rules and CRM handoffs are reviewed as part of the system.
- +Dashboards reflect shared definitions that teams can actually trust.
- +Fixes are prioritized by commercial impact instead of raw issue volume.
DELIVERY MODEL
HOW RADON AUDITS DATA BEFORE IT GUIDES GROWTH.
The work is investigative and practical. We verify the data layer, tags, analytics settings, and reports behind the numbers, then turn the findings into a clear fix plan.
01
MAP THE MEASUREMENT SYSTEM
We inventory analytics properties, tag containers, pixels, data-layer events, conversion endpoints, dashboards, and CRM handoffs to understand how data currently moves.
- +Measurement stack map
- +Platform and tag inventory
- +Critical journey list
02
TEST THE CRITICAL JOURNEYS
We validate page views, forms, purchases, calls, subscriptions, campaign clicks, and other high-value actions against the expected event and parameter design.
- +Tracking coverage matrix
- +Missing and duplicate event log
- +Key-event validation notes
03
RECONCILE REPORTING LOGIC
We inspect UTM rules, source attribution, cross-domain behavior, referral exclusions, dashboard calculations, and CRM definitions to identify where numbers diverge.
- +Attribution issue map
- +Dashboard gap findings
- +Definition alignment notes
04
PRIORITIZE THE FIXES
Findings are translated into an implementation roadmap that separates urgent measurement breaks from longer-term governance and reporting improvements.
- +Remediation roadmap
- +Implementation priority tiers
- +Governance checklist
FREQUENTLY ASKED QUESTIONS
Common questions about Analytics / Data Audit.
Straight answers on what an analytics audit involves, how Radon Media delivers it, and what to expect.
Q01
What is an Analytics / Data Audit?
An Analytics / Data Audit reviews the tools, tags, events, consent settings, data layer, attribution setup, dashboards, and reporting definitions that determine whether marketing data is accurate enough to guide decisions.
Q02
When should a brand run a data audit?
A data audit is useful before scaling media spend, after a site redesign, during GA4 or tag changes, before CRO work, when reports disagree, or whenever leadership no longer trusts the numbers.
Q03
Which platforms do you audit?
Radon Media can audit GA4, Google Tag Manager, server-side tagging, ad pixels, ecommerce tracking, CRM events, consent signals, Looker Studio reports, and the handoffs between marketing platforms.
Q04
What does Radon Media deliver in an Analytics / Data Audit?
We deliver a tracking coverage map, data-quality findings, attribution and UTM issues, dashboard gaps, consent and tag governance notes, and a prioritized remediation roadmap.
Q05
How do you measure success after a data audit?
Success is measured through cleaner event coverage, fewer reporting discrepancies, validated key events, improved campaign attribution, and stronger confidence in the dashboards used to make budget decisions.