There has been no shortage of opinions about what ChatGPT is going to do to advertising. Search is dead. AI is the new search. Brands need to figure out ChatGPT immediately. If you aren't there now, you're already behind. You get the idea. The problem is that there has been a lot more conversation about what ChatGPT could become than data showing what advertising on ChatGPT actually looks like today. We have now run ChatGPT Ads across a number of clients...

If your business sells products on Amazon, having a strong product listing isn't enough. With thousands of brands competing for the same shoppers, Amazon advertising can help your products get discovered by customers who are ready to buy, but only if you know how to leverage it well. So, how can brands leverage Amazon Ads effectively?

The Meta we manage today looks very different from the Meta of even a few years ago. New AI capabilities, broader targeting, automated campaign settings, and changes to how Meta evaluates creative have fundamentally changed how advertisers should approach the platform. The advertisers who continue to get results aren’t necessarily the ones who have found the perfect campaign structure. They’re the ones who are willing to adapt as user behavior and the Meta algorithm change.

Ad platforms rely heavily on machine learning to evaluate combinations of creative assets, audience signals, placements, and engagement patterns... rewarding those who provide a steady stream of creative variation and allow the system to determine what resonates with users. It’s no longer just about finding the best-performing ad. It’s about building a structured way to learn what messages, visuals, and narratives consistently connect with different audiences and improve per