Marketing measurement that survives consent
In short
When a cookie consent banner goes live, reported conversions often drop, and it's rarely clear how much of that is a real performance change versus a reporting gap. Webclat connects consent signals to analytics and ad platforms through OneTrust and Google's Consent Mode, so the tools correctly model consented traffic instead of silently dropping the rest. That separates real marketing performance from consent-rate effects, so budget decisions are based on an accurate number.
The situation
“Since we turned on the consent banner, our conversion numbers dropped and nobody's sure how much of that is real.”
The pain
When consent and measurement aren't wired together properly, you can't tell whether marketing got worse or your reporting just stopped counting people who said no.
What we implement
We connect your consent signals to your analytics and ad platforms through OneTrust and Google's Consent Mode, so the tools correctly model what consented visitors did instead of silently dropping the rest - first-party, consent-aware measurement.
What you get
Ad spend decisions based on real conversion signal, not a reporting gap that looks like a performance drop.
A reporting baseline that survives future browser and platform privacy changes instead of breaking with every update.
One explanation for "why did conversions change" that separates actual performance from consent-rate effects.
Illustrative scenario
A team that assumed a conversion drop meant a campaign was failing might find most of the change was unmodeled, consent-declined traffic - once modeled correctly, the real performance number is what drives the budget call, whatever direction that turns out to be. (Illustrative scenario - not a measured result.)
Common questions
Does this require rebuilding our GA4 or ad platform setup?
No. It connects existing platforms to consent signals; it doesn't replace them.
Will we recover 100% of our pre-banner numbers?
No, and treat any promise of that skeptically. Some of that drop is real, declined tracking - the goal is an accurate number, not the old inflated one.
Related use cases
Talk through how this applies to your OneTrust setup.
We scope every engagement in discovery, before implementation - no assumptions about your stack.