The long
tail theory argues that because online storage and distribution costs are low, companies
can offer more niche products that it wouldn’t have paid to sell in
brick-and-mortar stores. Because market reach is significantly larger online
and more products can be offered (especially in digital markets where the cost
of making digital copies is next to zero), companies can make money off
products for which there is typically no high demand. That is fewer purchases
of many niche products will bring in more revenue that many purchases of a few
popular products. Ultimately, long tail is all about exploiting the advantages
of digital products (zero perfect-copy-cost) and their overabundance.
Anderson argues
in his article that in a long tail economy it makes sense to dump as much
content as possible onto the market and that this content is offered for less.
Given his emphasis on the role of recommendation systems in matching niche
content to its intended consumers, there is also an implication that recommendation
systems continue to improve, becoming more efficient. Streaming sites are
particularly good examples, including Netflix and iTunes. Although Anderson
fails to mention that Netflix pays licensing fees so its selection is actually
limited by offline legal arrangements.
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