{"id":68,"date":"2017-11-23T11:31:00","date_gmt":"2017-11-23T11:31:00","guid":{"rendered":"http:\/\/box5686.temp.domains\/~itamargi\/case-study-how-fever-uses-a-b-experiments-and-data-analysis-to-double-customer-lifetime-value\/"},"modified":"2017-11-23T11:31:00","modified_gmt":"2017-11-23T11:31:00","slug":"case-study-how-fever-uses-a-b-experiments-and-data-analysis-to-double-customer-lifetime-value","status":"publish","type":"post","link":"https:\/\/itamargilad.com\/case-study-how-fever-uses-a-b-experiments-and-data-analysis-to-double-customer-lifetime-value\/","title":{"rendered":"Case Study: How Fever uses A\/B experiments and data analysis to double customer lifetime value"},"content":{"rendered":"
Last April mobile event discovery startup, Fever, invited me to help with its growth initiative. Fever helps users discover and book events\u200a\u2014\u200afrom parties to fashion, food and fitness. The service gained traction in Madrid, New York, London and other cities, generating over 3 million bookings last year, and reaching a unique monthly audience of over 30 million people through its platform and media sites.<\/p>\n