Data-Driven Thinking

Crisis is often fertile ground for change. And boy, the marketing world is in desperate need of change.

Until universal standards are set and adopted by retailers, marketers need to ask some boring yet fundamental questions about the metrics currently in use if they want to assess and compare performance across retailers. 

Self-supervised learning is at the heart of generative AI, and it’s perfectly suited to address the signal loss we’re increasingly facing in digital advertising today.

Welcome to Scandi-Land, where the cookieless future has been our online media reality for the last five years. Here are three lessons for media planners, buyers, sellers and platforms who are going to have a tough time navigating the thicket of change.

Google has had to rely on vectors other than an increase in search volume for growth. Without proper protective legislation in place, however, the result could be a dangerous one. 

AI’s speed of innovation and deployment have raised concerns about risks and harm to people and businesses. Here are some tips for how to use it responsibly.

Advertisers’ attempts to engage consumers could end up leaving them cold. After all, not all attention is created equal.

“What frustrates me most about this situation is how easily it can be remedied in a way that will benefit all parties,” writes Lou Paskalis about the Google Search Partner network brand safety debacle.

Researchers at Insider Intelligence estimate social commerce will become a $100 billion market by 2025, up from $67 billion this year. The question is how to win in this fast-moving landscape.

Lawmakers’ categorization of what is sensitive (and what is not) is a silver bullet. What might be noncritical to one person could be extremely sensitive to someone else.