Netflix uses an AI development to automatically

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experience (UX) is paramount to the ongoing successof any business, regardless of its industry – and when a customer has apositive experience with a brand they're likely to share it with their peersonline. To enhance its overall UX and tailor its service to the individualuser, Netflix uses AI-driven machine learning technology to providepersonalized content recommendations based on a user’s preferences in additionto what they’ve enjoyed in the past. Moreover,  optimize streaming quality and avoid any quality or bufferingissues. Over 80% of the shows people watch on Netflix are now based on itspersonal recommendations platform – a testament to its power in a time wherepeople demand more

value than ever from the brands they’re willing toinvest in. AI Digital Advertising  Jewelers Email List Examples The Economist’s targeted AI adcontent delivery innovation The Economist The Economist The Economist is awidely-respected digital publication but around 2017, its audience began todwindle. The publication leveraged the process of AI-driven programmaticadvertising to its advantage, buying and selling targeted adverts autonomously.By using this process to capture data and analyze consumer data in detail, The

Economist was able to identify a segment of itsaudience that it considered to be reluctant readers. By analyzing web and appusage autonomously, they drilled down into specific reading habits orpreferences and, as a result, found better ways of approaching their prospectsonline. Also, by focusing on matching cookie, subscriber and additional datasets to discover new segments and create lookalike audiences, the publicationmanaged to yield a host of positive results that have served to boost itsreadership levels once again. In summary, this forward-thinking campaignencouraged 3.6 million new readers to engage with the publication, achieving anoverall return on investment of 10:1 from the initial wave of revenue generatedfrom these prospects.