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Paid media

Why the paid media market moves faster than teams can react

53% of PPC professionals say the job is harder than it was two years ago. The reason is not a skills gap: purchase intent now forms across more surfaces than any team can watch.

Upp.ai insights team

14 Aug 20262 min read
Split illustration: a cluttered manual bid sheet on the left, Rubin monitoring Google, Meta and Microsoft on the right, under the line Bring clarity to your paid media.

A Search Engine Land survey did the rounds back in March, but the headline stat is worth staying with. 53% of PPC professionals say the job is harder than it was two years ago, and only 16% say it's become easier. However you slice that, 84% of the industry is standing still or losing ground, and this is after two years of AI tools that were supposed to make everything simpler.

So what's actually going on?

Purchase intent used to form somewhere you could watch: a search, an ad click, maybe a comparison site. Now it forms across search, social, and increasingly a conversation with an AI answer engine (AEO), often before anyone's touched an auction you can actually see. By the time a bid adjustment reflects what a team noticed, the moment that mattered has usually already passed.

Automated bidding, PMax and Advantage+ stopped being optional extras somewhere in the last couple of years. They're not a shortcut anymore. They're closer to how the market itself moves now, whether we signed up for that or not.

This changes the paid media manager's job.

It's less "who can react fastest in platform," more "how do we direct what the system is allowed to do."

  • What are the signals we feed it?
  • What is it optimising toward?
  • Where are the lines it isn't allowed to cross?

This is an evolving skill set. As the technology that drives purchase intent evolves, so does the skill set to support the underlying technology.

Getting that right is what the shift actually looks like day to day. See how Rubin reads live intent signals.

The teams handling this well aren't white-knuckling the old way of working. Most of them have stopped trying to out-react the market and are spending their time on how best to feed signals into the AI tools. Beyond that teams investing more time into what the strategy actually is, how to position against a competitor, and reading an account well enough to know when something's actually wrong versus when it's just noise.

Recommended read: Answer engines don't click: what AEO and GEO mean for paid media.

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