[Kojo-dan LLC: Takeshi Kono - Part 2] Can We No Longer Trust Page Views!? Measuring Media Value in the Age of AI / How a Man Who Barely Uses GA4 Masters BigQuery / Redesigning Media KPIs by Learning from Netflix / Seiichi Morino's Mainichido
In this episode, we bring you the conclusion of our feature with Takeshi Kono of Kojo-dan. Given the current reality where AI bots are infiltrating web analytics, we dive into the fundamental question of whether the 'PV' (page view) metric we have relied on for so long is still truly functional.
The PV metric may no longer be functional.
We are living in an era where the integrity of media outlets that promise impression guarantees to advertisers is being questioned. Kono points out the dishonesty and danger of using PV as a primary evaluation metric in a landscape where massive amounts of AI bots are constantly infiltrating traffic. If report numbers no longer reflect reality, it could ultimately undermine the value of the media itself.
I asked AI for overseas insights to create a filter.
To address this issue, Kono used Claude to implement GA4 filters based on strategies practiced by marketers abroad. Furthermore, thanks to raw data he had been accumulating in BigQuery for the past year, he was able to test logic to distinguish between humans and bots and successfully implement it. This episode is packed with tips on how to understand your site's status using your own unique metrics without relying solely on GA4.
A clever trick behind the unique report is the key.
In this show, we discuss in detail the design of the newly released access analysis report. In particular, we explain how a specific metric was incorporated to capture reader movements that are hard to see with engagement time alone. This analysis method hides tips on data analysis that media operators can start using from tomorrow. The discussion goes even deeper, so please listen to the full episode to hear the rest.
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