Liz 
Programmatic has expanded reach and revenue, but has also increased exposure to malicious, policy-violating ads that move faster than traditional controls can keep up with.
If AI systems and AI-driven products keep pulling from publisher work, what’s the path to durable, repeatable revenue that doesn’t rely on hope, headlines, or one-off deals?
Is having too many key-values in a bid request to GAM hurt response rates because GAM becomes slower or unable to handle the request?
The conversation moved through what an LLM strategy can look like in practice, how publishers assess leverage in a shifting marketplace, and what it means to rebuild audience relationships when discovery and attention behave differently than they did even a year ago.
In this Camp.Fire, Rob Beeler frames the conversation around a collective publisher response to an AI-influenced world – less doomsday, more problem-solving.
How do you calculate ARPDAU? How do you calculate ARPU? Which team uses which metrics? One point made worth sharing: sometimes these metrics and how they are calculated serve multiple purposes – shareholders vs day-to-day, and that itself could be an interesting conversation.
Chris Kane provided a rare, data-driven overview of how publishers and supply-side platforms are perceived by the buy side and, crucially, how those perceptions translate directly into spend.
The big question for the first half of 2026 is: how do publishers protect, productize, and scale what they already have in a world shaped by AI, automation, and fewer traditional clicks? Let’s dig in.
There’s a Beeler.Tech project to work with publishers to help create more transparency in the industry, with what we can control, and one area where they have control is who goes into their ads.txt files.
As third-party cookies decline, browser restrictions increase, and page performance becomes ever more closely tied to revenue outcomes, publishers are under pressure to make decisions that balance monetization, user experience, and operational stability. And often without clear, comparable data to hand.