  {"id":950,"date":"2015-10-03T15:37:15","date_gmt":"2015-10-03T19:37:15","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-digit\/submission\/pandora-the-more-you-listen-the-better-it-gets\/"},"modified":"2015-10-03T15:37:15","modified_gmt":"2015-10-03T19:37:15","slug":"pandora-the-more-you-listen-the-better-it-gets","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-digit\/submission\/pandora-the-more-you-listen-the-better-it-gets\/","title":{"rendered":"Pandora: The More You Listen, The Better It Gets"},"content":{"rendered":"<p>Pandora is a platform where users can pick a station (linked to genre or artist) and immediately start listening to music. Users are encouraged to let Pandora learn their taste\u00a0by \u201cliking\u201d and \u201cdisliking\u201d the songs it picks for them.<\/p>\n<p>&nbsp;<\/p>\n<p>The direct network effect is a strong one. Practically all users give Pandora feedback about the songs it picks \u2013 likes, dislikes, skips etc. \u2013 and this does two things: (1) it allows Pandora to understand each user\u2019s taste better and (2) it improves its understanding of its songs database, thus helping all its users. The first allows it to know what song it should play next; the second helps it to decide what songs it should play to all its other users. Let\u2019s suppose, for example, Alice just liked a Taylor Swift song and a Katy Perry song. If now Bob likes a Taylor Swift song,\u00a0 Pandora is more likely to pick Katy Perry for the next song for Bob. This author was definitely impressed by how quickly Pandora \u201cfigured him out\u201d and consistently started introducing him to new songs he likes. If you\u2019re looking to discover new music with a low miss rate, then in this author\u2019s opinion, Pandora is your best chance.<\/p>\n<p>&nbsp;<\/p>\n<p>This spells bad news for anyone trying to challenge Pandora. With so much data collected, and experience in making use of it, a challenger would have a hard time replicating that part of the user experience.<\/p>\n<p>&nbsp;<\/p>\n<p>At the moment, Pandora captures value, unsurprisingly, via (audio) ads. With over $900M in revenues in 2014, Pandora is expected to turn profitable soon (last year it lost $30M, or 3% of its revenues) \u2013 as reflected by a market cap of over $4B. This author believes that value capture could improve going forward. First, as Pandora grows, its negotiating power improves when striking content deals \u2013 with more users, content owners will be forgoing a major revenue stream if they refuse to partner (and interestingly, unlike Spotify, Pandora can afford not to include many artists in its offering, as it\u2019s not an on-demand model, so users won\u2019t be let down if an artist isn\u2019t featured on Pandora). Another way for value capture to improve is if Pandora partners with Facebook or Google, and gets them to add audio ads to their offering. Google and Facebook would know what user should listen to which ad (raising effectiveness, and thus advertisers willingness to pay), and Pandora will execute. Both Google and Facebook are already offering third-party apps and sites such a partnership, so this seems like a natural continuation.<\/p>\n<p>&nbsp;<\/p>\n<p>Another evolution could be towards making Pandora a platform for the music industry to test market demand for a new artist or song. With so many users lending Pandora their ears, and providing feedback, Pandora is well positioned to do the job traditionally done by record labels. Today, the labels scout talent, and try to make an educated projection of the likelihood of an artist making it big. With Pandora, one could test demand by inserting a song to listeners\u2019 playlists, and measuring their reaction. One could even easily A\/B test. This would add two parties to the Pandora platform \u2013 providers of content to be tested (upcoming artists, or established artists looking to test a specific song), and providers of capital willing to fund the testing. This would systemize music creation to best target actual market demand.<\/p>\n<p>&nbsp;<\/p>\n<p>There are many ways Pandora could grow its business, but what\u2019s almost certain is that we\u2019ll get to enjoy better content and more personalized picks going forward.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Whenever a user likes a new song, Pandora\u2019s playlist choices improve for ALL uses<\/p>\n","protected":false},"author":51,"featured_media":951,"comment_status":"open","ping_status":"closed","template":"","categories":[426,427,229],"class_list":["post-950","hck-submission","type-hck-submission","status-publish","has-post-thumbnail","hentry","category-direct-network-effect","category-internet-radio","category-music"],"connected_submission_link":"https:\/\/d3.harvard.edu\/platform-digit\/assignment\/competing-with-network-effects\/","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Pandora: The More You Listen, The Better It Gets - 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