Artificial Intelligence

Amazon’s Rufus: yet another example of Big Tech pushing AI bots onto its platforms. Plus, pushback against Google search engine monetization.

At the Cannes Lions, generative AI applications for advertising were out in force. Plus: takes from the Croisette on retail media and cookie conspiracies.

Many in the digital advertising industry truly want to do better. But there are imminent obstacles that need to be tackled if we want to move from words to deeds.

In today’s newsletter: Amazon’s argument that advertisers should trust optimization algorithms over alternative IDs; Japan passes an app store antitrust law targeting Apple and Google; and Google Ads ends support for credit card payments.

In today’s newsletter United Airlines gets into retail media; why AI fails to catch AI-generated content; and political advertisers flock to X for cheap impressions.

Tech companies have developed AI solutions that shift budgets and strategies toward contextual. But the AI-driven transition to black-box optimization requires agencies to build and develop new skills, custom tools and processes.

Breaking down how incrementality complements multitouch attribution and media mix modeling, and how advances in AI and ML have evolved incrementality measurement beyond A/B testing.

RAG is a recently developed process to ingest, chunk, embed, store, retrieve and feed first-party data into AI models. Here’s how to use these tools to inject first-party data into your next AI-enabled campaign.

Audience targeting and online information campaigns have had some gnarly byproducts. Advertisers need to own our contributions to political polarization before it can get better.

Even if the industry finds a way to replace the cookie, it won’t matter if publishers no longer have traffic to monetize.