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Inkitt on the other hand has built a crowdsourced publishing platform on which ( usually unsigned ) authors can upload excerpts of fictional work in progress or even entire manuscripts and receive feedback from readers . Inkitt ’ s algorithm identifies best-performing stories and publishes them in “ mini-episodes ” on Galatea , an immersive reading app providing users with new stories on a daily basis . Inkitt collects data about its users both by evaluating the given feedback and reviews as well as by accessing the reading history , speed , content preferences or completion rate of users in the Galatea app .
Paired with sales data of selected titles from Amazon , Inkitt gains a comprehensive overview of customers and especially content trends and relations . It successfully manages to link high-level online retailers ’ sales and product data with an in-depth understanding of consumers , who register on its platform and agree to share data on their reading behavior .
>> All three examples have one thing in common : They generate deeper consumer insights than the models used by traditional publishing houses and have established disruptive business models that either complement publishing houses ’ activities or threaten their traditional industry role and value-adding proposition .
Direct access to end consumers via their proprietary apps , networks , platforms or partnerships is the key to capturing and analyzing in-depth data about consumer trends for an unmatched understanding of market and demand trends .