content driven demand visualization (1)
TRANSCRIPT
Content-Driven Demand [email protected]
Demand Visualization Today
In book publishing, demand visualization is usually top-down and driven by simple metadata such as publisher, author, BISAC category, number of titles
Top-down demand visualization
# titles by quarter, sales by month
Heat maps by book category
Pretty much the state of the art, as far as I know
What if ...
we try a bottom-up approach?
create a sales-weighted text corpus ~=full text of each book * its sales & visualize that
Simple example
Title A, “Naval Force Structure”: 25%Title B, “Gunboat Diplomacy in the South China Sea”: 75%
Sales-weighted content visualization
Five books from O’Reilly with hypothetical sales
Title Percentage of total sales
R Cookbook 10%
Statistics in a Nutshell 20%
Data Science for Business 30%
Python for Kids 30%
Bad Data Handbook 10%
Sales-weighted content visualizationIn this corpus, content related to examples, variables, values, models, and functions seems to be favored on a sales-weighted basis
Is this useful?
● Maybe with a lot of additional work, more data and more sophisticated analytics
● It is novel so maybe worth exploring● Similar to e-book reader data gathering● Big picture: arguably, bottom-up demand
analysis is the wave of the future for publishing