Corvidae AI: Stop Building Growth on Broken Data
Marketers relying on traditional analytics platforms like GA4 and Adobe Analytics are using cookie-based data measurement techniques that have increasingly failed as less and less 3rd party data has been available to allow the identity stitching they require to function.
In the UK and Europe, data compliance requirements have further disrupted their effectiveness, causing an existential threat to marketing agencies and internal teams that rely on traditional analytics to prove their effectiveness.
So what is the landscape like in 2026 for measurement?
Regulatory pressure remains - GDPR - incorporating the ePrivacy Directive - and PECR require opt-in for use of cookies or trackers in almost every aspect of their use.
The IAB’s TCF creates a legal obligation for privacy friendly Ad Measurement, and increasingly brands are requiring TCF’s privacy components, such as DNT (Do Not Track), and GPC (Global Privacy Control) to place media spend.
And of course, it isn’t just Europe which has stringent legal frameworks, increasingly more states in the US are following equivalents of California’s CCPA; and across South America, Africa, and Asia there are equivalent privacy-first legal frameworks to consider.
So, the legal obligation remains to remove automatic opt-in for cookies, eliminating the requirement for browsers to be the arbiter of choice. That said, more than 50% of the browser market in mature digital markets - like the UK & US - already have browser usage that blocks 3rd party cookies by default.
These systemic flaws means that if you are using a traditional analytics solution, the majority of your marketing decisions are based on incorrect, broken data.
To understand the impact broken conversion journeys have on your understanding of marketing value, consider this comparison, of a journey using cookies (Path A) and a journey built probabilistically by Corvidae's unique and globally patented use of AI to stitch the same journey compliantly without the use of any 3rd party data sources (Path B):