  The continuous growth of electronic commerce has stimulated great interest in
studying online consumer behavior. Given the significant growth in online
shopping, better understanding of customers allows better marketing strategies
to be designed. While studies of online shopping attitude are widespread in the
literature, studies of browsing habits differences in relation to online
shopping are scarce.
  This research performs a large scale study of the relationship between
Internet browsing habits of users and their online shopping behavior. Towards
this end, we analyze data of 88,637 users who have bought more in total half a
milion products from the retailer sites Amazon and Walmart. Our results
indicate that even coarse-grained Internet browsing behavior has predictive
power in terms of what users will buy online. Furthermore, we discover both
surprising (e.g., "expensive products do not come with more effort in terms of
purchase") and expected (e.g., "the more loyal a user is to an online shop, the
less effort they spend shopping") facts.
  Given the lack of large-scale studies linking online browsing and online
shopping behavior, we believe that this work is of general interest to people
working in related areas.
