Long Tail and Viral Marketing
Jure Leskovec and
his associates write an article about the long tail and viral marketing.
They present an analysis of a person-to-person recommendation network,
consisting of 4 million people who made 16 million recommendations on
half a million products.
They observe the
propagation of recommendations and the cascade sizes, which we explain
by a simple stochastic model. They analyze how user behavior varies
within user communities defined by a recommendation network. Product
purchases follow a ‘long tail’ where a significant share of purchases
belongs to rarely sold items.
They establish how the
recommendation network grows over time and how effective it is from the
viewpoint of the sender and receiver of the recommendations.
While on average
recommendations are not very effective at inducing purchases and do not
spread very far, they present a model that successfully identifies
communities, product, and pricing categories for which viral marketing
seems to be very effective.
Explore
Ryan Pitylak Viral Marketing Services further:
Ryan Pitylak
(512) 826-5330
|