{"id":12027,"date":"2021-03-20T10:01:19","date_gmt":"2021-03-20T14:01:19","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=12027"},"modified":"2021-03-20T10:01:19","modified_gmt":"2021-03-20T14:01:19","slug":"data-science-for-marketing-optimization-case-studies-from-airbnb-lyft-doordash","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/data-science-for-marketing-optimization-case-studies-from-airbnb-lyft-doordash\/12027\/","title":{"rendered":"Data Science for Marketing Optimization &#8211; Case Studies from Airbnb, Lyft, DoorDash"},"content":{"rendered":"Originally published in Blogboard Journal, Jan 7, 2021. In this article we&#8217;ll look at several case studies of data science being used to optimize marketing efforts at companies like Lyft, Airbnb, Netflix, Doordash, Wolt, Rovio Entertainment. In the first quarter of 2019, Airbnb spent $367 million on sales and marketing. When you think about this from a technical standpoint, two obvious problems come to mind: How do you scale your marketing processes to be able to spend $300+ million per quarter on ads? Once you have systems in place to spend huge ad budgets, what&#8217;s an optimal way <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/data-science-for-marketing-optimization-case-studies-from-airbnb-lyft-doordash\/12027\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Blogboard Journal, Jan 7, 2021. In this article we&#8217;ll look at several case studies of data science being used to optimize marketing efforts at companies like Lyft, Airbnb, Netflix, Doordash, Wolt, Rovio Entertainment. In the first quarter of 2019, Airbnb spent $367 million on sales and marketing. When you think about this [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[59,243,1074,8],"class_list":["post-12027","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-analytics","tag-machine-learning","tag-machine-learning-analytics","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12027","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=12027"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12027\/revisions"}],"predecessor-version":[{"id":12028,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12027\/revisions\/12028"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=12027"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=12027"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=12027"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}