YouTube is experimenting with new machine learning tech that reformats landscape video ads into square or vertical formats
YouTube is experimenting with a new machine learning technology that reformats landscape video ads into square or vertical formats based on how someone is watching YouTube. The machine learning model detects important elements in the landscape ad — such as faces, key objects, logos, text, and motion — and breaks the video into distinct “scenes.” This ensures that important elements show up properly — centered, for example — in the reformatted video.
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According to a recent study, Gen Z viewers watch an almost even mix of long and short-form video content. And 59% of Gen Z consumers surveyed watch longer versions of videos that they discover on short-form video apps. YouTube Shorts is an entirely mobile and vertical experience with over 30 billion daily views and 1.5 billion monthly logged-in users. By adding vertical video assets to Video action, App and Performance Max campaigns, which automatically scale to Shorts, marketers can participate directly in the Shorts environment and drive better results.
Easy templates to plug into
Four new, customizable vertical video ad templates and one square template are now available in the video creation tool in Google Ads, located in the Asset Library. With just a few images and text, you can customize these templates to create a vertical or square ad for your brand.
Additionally, they have also added a new set of vertical video ad templates to their auto-generated video offering, which creates vertical videos based on inputs you provide for a campaign, like text and images.