You probably want to isolate completion rate from that of surrounding category. I'm sure there are a lot of high-performing pulp novels.
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P(liked) is really P(liked|bought), which is low signal for genre fiction. I want books that were liked by their unlikely readers.
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@arhomberg@Jellybooks looks really cool! So.. using@avibryant's formula, what should we read?! -
Also recommend
@avibryant's https://github.com/avibryant/phantomsync … for your Kindle integration! -
Have you run that recently and does it still work? I lost the instance I was running it on and never set it back up :facepalm:
End of conversation
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You probably want a floor on quantity sold.
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extra layer: look at those answers relative to readers usual preference for that genre (would you like it, if this is not your normal genre)
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50 Shades of Gray, coming right up.
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it looks like Amazon's physical book stores are headed in that direction: https://pbs.twimg.com/media/DCeSQIjXgAATXbV.jpg …. Can't wait to see how the queries evolve.
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and by the way, we measure that for book publishers pre-publication so they can estimate demand for their upcoming books...
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bu you also want to look at theNet Promoter Score for those who finished the book, the combination tells you what's really going on
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you need to look at completion rate relative to those who started, contrary to common belief this is NOT genre dependent /1
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