{"id":2640,"date":"2013-11-13T23:14:49","date_gmt":"2013-11-13T23:14:49","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=2640"},"modified":"2013-11-13T23:15:03","modified_gmt":"2013-11-13T23:15:03","slug":"5-ways-to-leverage-predictive-customer-intelligence-for-improved-customer-retention-and-loyalty","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/5-ways-to-leverage-predictive-customer-intelligence-for-improved-customer-retention-and-loyalty\/2640\/","title":{"rendered":"5 Ways To Leverage Predictive Customer Intelligence For Improved Customer Retention And Loyalty"},"content":{"rendered":"A deep understanding of customer behavior and what makes them \u201ctick\u201d is key to good marketing. Understanding purchasing behavior allows retailers to optimize their marketing campaigns, improve customer experiences, and enhance retention and loyalty. Recent studies have shown that personalization is the most preferred strategy for marketing executives today. In order to do this effectively, marketers need to be equipped with the capability to analyze data and gain insights. Organizations are turning to analytics to process their big data, and predictive analytics in particular is gaining traction. Predictive analytics is the analysis of past behaviors of the customers <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/5-ways-to-leverage-predictive-customer-intelligence-for-improved-customer-retention-and-loyalty\/2640\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>A deep understanding of customer behavior and what makes them \u201ctick\u201d is key to good marketing. Understanding purchasing behavior allows retailers to optimize their marketing campaigns, improve customer experiences, and enhance retention and loyalty. Recent studies have shown that personalization is the most preferred strategy for marketing executives today. In order to do this effectively, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,1],"tags":[],"class_list":["post-2640","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-leading-blogs"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2640","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=2640"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2640\/revisions"}],"predecessor-version":[{"id":2642,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2640\/revisions\/2642"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=2640"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=2640"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=2640"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}