On Tuesday, Meta announced that it’s testing several new generative AI tools, including one that can animate static images and turn them into full-blown video ads. Another test involves adjusting the aspect ratio of a video by automatically generating the unseen pixels within every frame. That way, a video made for Facebook can be easily […] The post...

Seven years ago, some people believed targeting on connected TV (CTV) wouldn’t be possible without cookies. Fast-forward to today, and cookieless CTV targeting is not only possible but commonplace. We’ve entered an era where precision targeting is the norm, even as the traditional methods of tracking have evolved. Now, we’re heading toward the final...

Attention metrics’ play to replace viewability is inching closer to reality. And using attention for ad targeting could help advertisers avoid undesirable ad inventory that games viewability. Attention measurement provider Adelaide announced Tuesday that attention-based segments are available for pre-bid targeting in The Trade Desk (TTD). Buyers can...

Contextual targeting – one of the oldest tricks in the advertising playbook – has been enjoying a comeback in recent years as an alternative to third-party-cookie-based audiences. Dotdash Meredith (DDM) reembraced contextual when it launched an in-house contextual targeting solution, D/Cipher, back in 2022. The solution combines content-based signals...

In a virtual seminar hosted by U of Digital on Friday, Madison and Wall principal Brian Weiser and senior analyst Olivia Morley shared their predictions for the looming TikTok Ban and potential Google ads divestment. The post How Should Advertisers Navigate A TikTok Ban Or Google Breakup? Just Ask Brian Wieser appeared first on AdExchanger.

Here’s today’s AdExchanger.com news round-up… Want it by email? Sign up here. Curation Nation Chalice, a maker of custom bidding algorithms, integrated with Index Exchange, and it’s not a typical partnership, Adweek reports.  What’s new is that Chalice has “containerized” its machine learning models, essentially running a virtual version of its bidding...