{"id":2666,"date":"2015-11-22T20:50:55","date_gmt":"2015-11-23T01:50:55","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-digit\/submission\/tinder-youre-doing-it-wrong\/"},"modified":"2015-11-22T20:50:55","modified_gmt":"2015-11-23T01:50:55","slug":"tinder-youre-doing-it-wrong","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-digit\/submission\/tinder-youre-doing-it-wrong\/","title":{"rendered":"Tinder: You’re doing it wrong"},"content":{"rendered":"

Tinder says it’s new algorithm will increase your matches by 30% or more. Sound good? There’s a catch, though. If you’re a serial “don’t ask questions, just swipe right” kind of user, this update isn’t for you. In fact, your “Tinder Profile Ranking” could already be in the toilet. Your Tinder Profile Ranking takes into account a lot of data, including how often you swipe right, how often you match with another user, how often you spark a conversation with matches, how often you “un-match” with matches, the number of swipe sessions you have per day, the consistency of\u00a0your profile preferences, the number of “deep conversations” you have with matches (probably measured by the character count of your messages), and so on. Without consistent swipe behavior, your ranking slips. Without consistent app activity, your ranking slips. Without deep conversations, your ranking slips. Tinder uses your ranking to determine how often you should show up in another user’s profile results. It also dictates the type of profiles you’re shown. The algorithm that Tinder employs to feed this ranking is an important one because Tinder’s value is predicated on the swipe being “worth” something. If people aren’t matching often enough, intuitively enough, or successfully enough, users will go elsewhere. And with multi-homing a foregone conclusion in this business, users that have jumped ship may not miss much.<\/p>\n

All of those aforementioned metrics and observations tell a clear story about a user. Tinder can use the same type of regression analyses that we have in class to identify which user behaviors impact their success in the app most. They can also predict which types of users will be welcome additions to the Tinder community. Data is driving Tinder’s business, especially important now that it’s parent company has filed for IPO.<\/p>\n","protected":false},"excerpt":{"rendered":"

Tinder has a new algorithm, thinks you’re doing it wrong<\/p>\n","protected":false},"author":116,"featured_media":2667,"comment_status":"open","ping_status":"closed","template":"","categories":[424,870,272],"class_list":["post-2666","hck-submission","type-hck-submission","status-publish","has-post-thumbnail","hentry","category-online-dating","category-regression","category-tinder"],"connected_submission_link":"https:\/\/d3.harvard.edu\/platform-digit\/assignment\/data-driven-value-creation-value-capture-and-operating-models\/","yoast_head":"\nTinder: You're doing it wrong - Digital Innovation and Transformation<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/d3.harvard.edu\/platform-digit\/submission\/tinder-youre-doing-it-wrong\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tinder: You're doing it wrong - 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