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Google has unveiled two new AI-powered ad campaign possibilities, in addition to launching a new AR Try-On procedure that uses AI to deliver more realistic renderings of how clothing will look on you based on your body type.
New Ad Types
Google has introduced Demand Gen and Video View campaign options, which will provide you more opportunities to use AI in the development and targeting processes.
Through the use of several Google ad types, demand generation campaigns give businesses the opportunity to make the most of their video and picture assets in order to reach and appeal to a targeted audience.
Using the Demand Gen method, you can manage your campaigns across all platforms and reuse your creative content in all of them.
You can use lookalike groups based on your audience lists or Google’s AI to target these. The process should be able to maximize the effectiveness of your creative materials, which should also optimize targeting for the best response.
Video Campaigns
Google is also introducing new video view campaigns that will allow businesses to increase views on YouTube Shorts, in-feed videos, and in-stream videos all inside the same campaign.
Early testing shows that compared to in-stream skippable cost-per-view marketing, video watch campaigns averaged 40% more views.
It basically enables better targeting and reach with less manual effort thanks to Google’s growing AI components, so it would be worthwhile to experiment with these new possibilities to see what type of results you get.
Virtual Try-Ons
What’s more is that Google is aiming to enhance the online shopping experience with a new generative AI approach for dressing, using digital models that are more accurate representations of your body type.
According to Google’s statement:
“Virtual try-on for apparel shows you how clothes look on a variety of real models. Here’s how it works: Our new generative AI model can take just one clothing image and accurately reflect how it would drape, fold, cling, stretch and form wrinkles and shadows on a diverse set of real models in various poses. We selected people ranging in sizes XXS-4XL representing different skin tones (using the Monk Skin Tone Scale as a guide), body shapes, ethnicities and hair types.”
However, the AI does provide some more qualification to your purchasing process, which could be useful in the deciding stage. This procedure employs your real body, not a synthetic variation put over a digital mannequin.
The process has been launched in the US markets, however as per Google, more regions, products and models will be incorporrated over time.
Guided Refinements
Lastly, Google’s has also added new ‘guided refinements’ to product searches, which will enable you to add additional qualifiers to product searches in the app.
You will be able to focus your results based on price, color, pattern options, and more with these new features.
The matches are based on machine learning and new visual matching algorithms, which is another way Google is aiming to integrate advancing AI choices into its Search capabilities. This integration is not intended to replace traditional search but rather to enhance utility.
These launches are vital for Google to emphasize since much of the current industry discussion centers around how generative AI could eventually make Google search obsolete by enabling more semantic search alternatives and offering more human-like answers via conversational AI.
It’s too soon to anticipate the whole impact, but there is a case to be made that streamlined AI interactions will displace at least some Google search traffic. If Google doesn’t stay up with the latest trends, it could get problematic for the social media giant.
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