Trust your Adobe Analytics numbers again
When Adobe Analytics numbers stop lining up with what actually happened in the business, the cause is almost always upstream of the report - a data layer that drifted from the site, or processing rules quietly reclassifying traffic. Webclat audits the full collection path from page to report suite and fixes what's actually broken, instead of adding another dashboard on top of bad data. The result is a report suite your team can cite in a meeting without a caveat.
The situation
Every week someone in the room asks why the Adobe Analytics number doesn't match what we know actually happened, and nobody has a confident answer.
The pain
The team spends more time defending the report than acting on it, and eventually stops trusting Analytics at all - quietly making real decisions on gut feel instead, while the dashboard keeps running for show.
What we implement
We trace every metric back through the data layer, tag rules, and processing rules to the report suite - an implementation audit - and fix the specific points where the true site behavior stops matching what Adobe collects.
What you get
- A documented list of exactly where and why numbers were wrong, not a vague "it's fixed now."
- Report suite settings and processing rules your team can explain to anyone who asks.
- A baseline you can point to the next time someone questions a number.
Illustrative, not a measured result: a retailer whose checkout completions were undercounted by a broken data-layer field might see that specific metric snap back into line with order-management records within one release cycle once the field is fixed.
FAQ
How do you find where Adobe Analytics numbers are wrong?
We start at the report and work backward: the metric definition, the processing rules and classifications applied to it, the report suite's variable and event configuration, and finally the data layer and tags on the page or app that actually fire the hit. Most discrepancies live in one of two places - a data layer that changed when the site did, or a processing rule quietly reclassifying data - and tracing forward from the page instead of backward from the report is what actually finds them.
Can this be fixed without touching engineering?
Some of it - a wrong processing rule or a report suite setting can be corrected in the Adobe Analytics admin console with no code change. Most root causes live in the data layer or tag rules, though, which is a template or codebase change engineering has to ship. We hand off a scoped list so it's clear which fixes are console-only and which need a release.