The audit that explains why your numbers dropped
A drop nobody can explain gets blamed on the market, the season, or "Google changed something," which means nobody fixes the actual cause.
In short
A sudden drop in GA4 traffic or conversions almost always has one specific, findable cause - a new consent banner, a filter added to the property, a redesign that broke a tag - but staring at the trend line won't tell you which one. A structured GA4 audit checks the property against what changed and against a second source of the same numbers, so the drop gets a name instead of a theory. Most "unexplained" drops turn out to be explained within a few days of looking.
The Situation
"Your GA4 traffic or conversions dropped last month and nobody changed the marketing - so nobody can explain why the number moved."
A drop nobody can explain gets blamed on the market, the season, or "Google changed something," which means nobody fixes the actual cause and the number stays wrong until someone happens to notice.
We run a structured GA4 audit - checking recent property changes, consent configuration, filters, and tag firing against a second source (ad platform, CRM, or server logs) for the same date range - to find the specific, fixable cause of the drop rather than guess at one.
What You Get
- A named cause for the drop, not a theory, before any fix gets proposed
- Ad spend decisions made on the real conversion number once the cause is corrected
- Historical reporting continuity restored, so this quarter can still be compared to last quarter
Illustrative, not a measured result: a company whose conversions appeared to fall by roughly a fifth might trace the entire drop to a single filter accidentally excluding a country's traffic - once found, the fix is usually smaller than the drop looked like it should require. (Illustrative scenario - not a measured result.)
Frequently Asked Questions
How is this different from the general GA4 audit service?
It isn't a different service - it's the same structured audit, applied specifically to a known drop instead of a general health check, so the review starts from "what changed around the date the number moved" rather than a full property walkthrough.
What if the audit doesn't find a single clear cause?
That happens when several small things move together - a modest traffic dip plus a modest consent-mode change, for example. The audit still reports each contributing factor and its estimated share, rather than forcing one cause where the evidence shows several.
Get a Name for What Changed
Tell us when the number moved and we'll scope an audit around that window first.
Request a GA4 Audit