Industry News

Google has posted a new Google Ads help document named About the Google Ads Experiment Center. This document "is a unified hub for validating strategies and continuously improving campaign performance," Google wrote.

Microsoft Advertising has fully released the Microsoft Advertising Ad Preview Hub to all users. "I am beyond excited about Microsoft Advertising's new Ad Preview Hub! This is GA and should be live in your accounts in all markets," Navah Hopkins, the Microsoft Ads Liaison, wrote on LinkedIn.

Here is a recap of what happened in the search forums today...

Google is rolling out a new billing report within Google Ads. The new billing report gives you line-by-line view of your Google Ads invoices.

On March 23, 2026, Google will update its Google Ads Gambling and games policy to say that your overall account must demonstrate good policy health to be eligible for gambling and games certification. Meaning, you need to have a good account history and have a number of violations on your account.

Google is testing adding price labels on top of the product images within AI Mode results. I tried to replicate this but I was not able to, so it seems like a test.

Google Ads has a new help document named Campaign Mix Experiments (Beta). This describes how advertisers can test multiple campaign types, budgets, and settings across campaigns in a single experiment.

Google Ads lets you see how your product ads are performing across all your campaigns in a single view. Some advertisers are saying this is a new report, so I figured I'd share what they're noticing.

I’ve covered “root cause” thinking in incident reviews before, and Lorin Hochstein takes aim at a related issue: AWS’s “Correction of Error” terminology:

I hate the term “Correction of Error” because it implies that incidents occur as a result of errors. As a consequence, it suggests that the function of a post-incident review process is to identify the errors that occurred and to fix them. I think this view of incidents is wrong, and dangerously so: It limits the benefits we can get out...

A quick post on LinkedIn about interviewing a candidate who used real-time AI got more engagement than is usual for me. And as often happens when something goes semi-viral, some folks took issue with what I said, so I want to expand on the point I was trying to make (it wasn’t that “AI is cheating”).

Here’s what I wrote:

I had my first experience interviewing a candidate who used real-time AI today. If you’re someone who uses AI daily, it’s so easy to spot. The pause before the answer,...