Third Party Cookies, A Eulogy
The Age of 1P Data
First-party (1P) data has always been superior when it comes to analytics. Companies and consultancies have been gunning for in-house solutions for the last couple of decades. At the very least, clawing for some freedom from third-party (3P) dependency. The problem is developing a good and reliable analytics solution is not that simple. There is the cost of time to research and maintain. Also, there is the financial cost of the infrastructure. Analytics rely heavily on historical data which becomes less and less cheap as the data grows, a large amount of focus is needed in developing and maintaining it. As a result, companies find it way more affordable to use analytics platforms and products that also offer customizability. Full discretion, I will not be naming products or platforms -- can not offend the tech overlords, at least not in this article.
Platform Distrust
As someone who has both worked analytics client-side and as a consultant for the breadth of my career, one of the challenges of adopting an analytics platform is convincing your peers (and yourself to some extent) that the product is fine. Objectively, is it good? Well, whatever you are using it is probably good enough. If it is highly adopted across industries and a source of truth for many, why wouldn't it be? High adoption usually means a lot of eyes are monitoring bugs and hurdles when using a product, this can be something as fundamental as basic setup or as specific as data discrepancy. If it has a healthy community you can find answers in forums or support documents.
But the above is a data worker's perspective.
The 1P Data Party
Is 3P data such a bad thing that we should stay away from it? There has always been polemic around this issue, especially when it comes to privacy. There are multiple ways to interpret this, and all of them will have a negative response from every side of the issue. The 3P cookie method, was developed at a time where digital marketing was at its infancy, when the web was still young. What was considered an exploit became a celebrated feature. It was a better way to do marketing after all, datain its most convenient form at that time was being leveraged to deliver messages that the consumers (allegedly) wanted. This beats the expensive alternative of market reasearch with panel surveys. After the uprising of privacy awareness -- or reemergence, since anonimity was a core concept of the early web -- 1P data became the buzzword for digital marketing.
First Party Data Search Trend 2014-2024
Suddenly adtech had no choice but to go back to basics due to imense public and political pressure. Privacy was important again. The case for 1P data is that it is a more trustworthy data. Instead of aggregates, we get real users doing real things, and with the growth of technology, tools for measuring propensity are getting better and better. We have the capability on collecting and processing so much data -- with consent, of course. We should always have our sights on the ever expanding edge of technology.
We are consistently trying to learn and educate about analytics the "right way" (hot take: sessions are not a good measure for performance marketing) push back from marketers -- the disdain you feel about a certain "new" fascistic analytics platform -- is expected. Relearning something every other July is a pain, but that is what constantly happens when you are tech adjacent. In my area of expertise its a fact of work. We adapt, see every other tool that can help us, adopt and build solutions.
The honest question is: was 3P data with its vast amount more reliable than 1P data? Did we even miss anything? That is something to ponder internally, how did you really benefit from something that always belonged to the vendors anyway? And, how does today differ? It is just another change to the internet landscape and another day of adapting to the everchanging tech.