[ad_1]
What you need to know
- YouTube is introducing new tools to introduce ads optimized for Shorts.
- The methods include customized templates and Machine Learning techniques.
- Using machine learning, current landscape ads are dramatically changing to vertical video ads.
YouTube Shorts is a growing means of content consumption in short video formats, especially on smartphones. The platform has generated over 30 billion daily views along with 1.5 billion monthly logged in users. It’s undeniably an all-in vertical viewing experience similar to TikTok, but one problem is optimizing existing YouTube ads for the format.
The number of users here is likely to be enticing for marketers creating video-action campaigns, as they can generate additional revenue on YouTube Shorts In a new blog post, YouTube announced that it is introducing new solutions and creative guidelines “to help advertisers in all sizes of making an effective vertical vertical video ads.”
To make this happen, Google is deploying its machine learning capability that “reformats landscape video ads into square or vertical formats based on how someone views YouTube.”
It works by detecting elements of a landscape ad, including faces, key objects, logos, text and motion. It further splits the video into scenes and ML ensures that it is cropped centered correctly, recreating the vertical ad video from the landscape version.
(opens in new tab)
YouTube also provides four custom vertical video ad templates that are already available in the Google Ads video creator. These templates likely follow YouTube best practices, which offer a vertical viewing experience, are fast, and include transitions and music. Users can navigate to the Asset Library to try them out.
The company adds that users “can customize these templates to create a vertical or square ad for your brand in minutes.”
Building machine learning technology outlined above addresses app campaigns first, followed by video action and Performance Max campaigns. In addition, a new set of vertical video ad templates can help businesses create these types of videos from existing assets based on text and images.
With the tools provided, YouTube also suggests tips for creating successful campaigns, such as paying attention to pacing and evoking emotion.
The company believes that more people are streaming across multiple screens, channels and different video lengths across streaming devices. In the eyes of the Google-owned video platform, users come to YouTube to consume different types of content.
And among them, Gen Z viewers are said to watch a mix of short and long video content. In fact, Google notes how short-form videos help these viewers discover longer videos. This makes it a win-win for the video platform, which excels in both areas to varying degrees. This also helps marketers identify the target audience they like to share their innovative ad videos with.
YouTube’s new machine learning tool is obviously a huge boon for more small businesses with limited resources to create different video formats. YouTube states that video campaigns, including video action, app and performance action campaigns, drive 10-20% more conversions per dollar through YouTube Shorts. And adding vertical video assets can help marketers generate their ad content in vertical video format. Now it seems that the problem of adopting their ads for Shorts is solved thanks to ML.
[ad_2]
Leave a Reply