Facebook Now Uses AI To Deliver More Tailored Ad Experiences To Users

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Facebook is rolling out several new features that use machine learning to deliver more personalized ad experiences to its users. It's no secret that people value content that is "personally relevant and meaningful" to them, and this, of course, also applies to Facebook News Feed content. However, creating personalized ads that can scale is a very time-consuming process and one that often takes up many resources. To help out, Facebook is rolling out new ad features that use the power of AI to automatically deliver ad experiences that are more tailored to each user. Facebook's system uses data and signals from its platform and with insights advertisers share, to make "predictions for who the right people are for a given message."


Facebook Now Uses AI To Deliver More Tailored Ad Experiences To Users

#artificialintelligence

Facebook is rolling out several new features that use machine learning to deliver more personalized ad experiences to its users. It's no secret that people value content that is "personally relevant and meaningful" to them, and this, of course, also applies to Facebook News Feed content. However, creating personalized ads that can scale is a very time-consuming process and one that often takes up many resources. To help out, Facebook is rolling out new ad features that use the power of AI to automatically deliver ad experiences that are more tailored to each user. Facebook's system uses data and signals from its platform and with insights advertisers share, to make "predictions for who the right people are for a given message."


Facebook Brings Machine Learning Into the Dynamic Ads Creation Process

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The social network's new dynamic formats and ad creative solution delivers a personalized version of an ad to everyone who sees it, based on formats they have proven more likely to respond to, such as collection and carousel. Facebook said in a blog post that this solution can be leveraged within Facebook dynamic ads when they are created for the catalog sales, traffic and conversions objectives in Ads Manager or via the Marketing API (application-programming interface). The social network added that it recently conducted a test with 12 ecommerce and retail advertisers and found that dynamic formats and ad creative outperformed carousel-only ads in driving lift across content views, add-to-cart, purchases and sales, with a 34% improvement in incremental return on ad spend, a 10% boost in life and a 6% drop in cost per incremental purchase. When brands are creating single-media ads for traffic, application installs and conversions objectives, they can add multiple text optimization, enabling them to input multiple options for the primary text. Facebook said in its blog post, "This allows our ad system to optimize for delivery and performance using variations of the text options provided, based on individual preferences identified by our machine learning models."


Why Artificial Intelligence is the future of Video Advertising

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How has Video Advertising changed over the years? The evolution of advertising has seen some remarkable changes over the years. Not only this, but it changed up to the limit where it has adapted to new mediums and audience constantly. It has become more significant and personalized throughout history. If anything that had the biggest impact on the journey of video advertising and ad personalization is the INTERNET and its ability to collect billions of data points on the user.


Bing Artificial Intelligence Advancements

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On December 13, 2017, Harry Shum, executive vice president of AI and Research at Microsoft announced new Intelligent search features in Bing with artificial intelligence (AI) and machine learning. It is slated to deliver more comprehensive and complete information, give people answers quicker, and enable people to interact more conversationally with Bing search. AI has been a part of search technology since the beginning, using machine-reading comprehension to examine billions of documents to understand the web and help people more quickly and confidently get the answers they are searching for. Microsoft's commitment to infusing AI into its products is pushing Bing's machine learning capabilities to push the industry in delivering more Intelligent search. Harnessing this data while using machine learning techniques allows Bing to deliver more personalized consumer experiences and advertisers to make deeper consumer connections.