Harvesting customer insights in book publishing | Page 18

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Success stories : Innovative approaches disrupting the market

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A look at disruptive new players can prove
helpful as start-ups have found innovative
approaches
to
tackle
obstacles
and
established themselves side by side with
leading publishing houses . Their idea was to
focus on the initially defined problem of
capturing
consumer
preferences
and
anticipating
market
developments
and
trends .
Bookwire , a company that has already traveled far on its success journey , shows how digitization favors the emergence of new business models :
Bookwire is a digital publishing service provider whose software solutions have already been implemented by 1,700 publishing houses globally and are responsible for the holistic distribution , analysis and marketing of 400,000 e-books and 60,000 audiobooks 10 ) .
In addition to publishing services , Bookwire offers reader analytics , in-book promotion analytics and marketing analytics related to their titles .
Important data points include demographics , conversion rates of reading samples , recommendations and comparisons among books , genres and readers . These data points can be aggregated and provide a holistic overview of consumers , their preferences and related title performance .
Read-O can be viewed as an example of an innovative publishing business model on the route to scalability . The Read-O app summarizes millions of book reviews and analyzes them with regard to basic mood , writing style and quality of the books in order to suggest suitable books to its customers .
In this regard , it represents the next step in the evolution of review and recommendation platforms such as Goodreads . In the background of the reading app , Read-O collects unique data points about the reading patterns of the app ’ s users . It can aggregate individual reading histories , preferences and reviews to form a holistic picture and derive insights and common trends or taste profiles . Its proprietary app allows users to create and update their profiles with information about their reading preferences . It is the key to generating first-level data without intermediaries in between .