In a grand unveiling on July 10 this year, Google introduced a lot of machine-learning based tools for online marketers. The most significant of these new features have been the responsive search ads. Now online marketers can submit a few varied ad creatives and google leverages A/B testing and machine learning to figure out which ads to display to users based on user history and context. Now that more and more people are turning to Youtube to watch review videos before making purchases, Google has turned its attention to get Youtube ads to be more relevant to their audience. They are launching a new product called Maximize Lift that uses Machine Learning to identify which users are more likely to consider a brand after seeing a video ad and allow marketers to advertize to them through different channcel. They also employ a new feature called Smart bidding that would let you adjust bids at auction tome to maximize the impact your video ads on brand perception. To adapt to more people using voice-search on Google Home and other devices to discover local businesses, Google has also launched a new ad product called 'Local Campaigns' a new type of ad campaign designed to exclusively drive up store visits through co-ordinated advertising across different Google properties such as Android, web and Google Home.
Link: https://blog.google/technology/ads/machine-learning-hands-advertisers/
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