Content Contributor Management and Network Effects in a UGC Environment.

Kaifu Zhang==Theodoros Evgeniou==Vineet Padmanabhan==Emile Richard==

摘要(来源:ACM):

The success of any user-generated content website depends crucially on its asset of content contributors. How firms should invest in the acquisition and retention of content contributors represents a novel question that is particularly important for these websites. We develop a vector autoregressive (VAR) model to measure the financial values of the retention and acquisition of both contributors and content consumers. In our empirical application to a customer-to-customer marketplace, we find that contributor (seller) acquisition has the largest financial value because of their strong network effects on content consumers (buyers) and other contributors. However, the wear-in of contributors' financial values takes longer because the network effects need time to be fully realized. Our simulation-based studies (i) shed light on the value implications of “enhancing network effects” and (ii) quantify the revenue contributions of marketing newsletter campaigns. Our results indicate that enhancing network effects in complementary ways can further increase the marginal benefits of acquisition and retention. We also find that simply tracking click-throughs may vastly underestimate the values of marketing newsletters---in our case, by more than a factor of 5---which may lead to suboptimal marketing effort allocation. The success of any user-generated content website depends crucially on its asset of content contributors. How firms should invest in the acquisition and retention of content contributors represents a novel question that is particularly important for these websites. We develop a vector autoregressive (VAR) model to measure the financial values of the retention and acquisition of both contributors and content consumers. In our empirical application to a customer-to-customer marketplace, we find that contributor (seller) acquisition has the largest financial value because of their strong network effects on content consumers (buyers) and other contributors. However, the wear-in of contributors' financial values takes longer because the network effects need time to be fully realized. Our simulation-based studies (i) shed light on the value implications of “enhancing network effects” and (ii) quantify the revenue contributions of marketing newsletter campaigns. Our results indicate that enhancing network effects in complementary ways can further increase the marginal benefits of acquisition and retention. We also find that simply tracking click-throughs may vastly underestimate the values of marketing newsletters---in our case, by more than a factor of 5---which may lead to suboptimal marketing effort allocation.

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