- (e.g. if each new customer invites five friends, i = 5)
- (e.g. if one in five invitees convert to new users, c = .2)
This usage is borrowed from the medical field of epidemiology in which a virus having a k-factor of 1 is in a "steady" state of neither growth nor decline, while a k-factor greater than 1 indicates exponential growth and a k-factor less than 1 indicates exponential decline. The k-factor in this context is itself a product of the rates of distribution and infection for an app (or virus). "Distribution" measures the average number of people a host will contact while still infectious, and "infection" measures how likely an average person is to also become infected after contact with a viral host.
- Fong, Richard (17 March 2014). "The K-Factor: The Secret Factor Behind Your Company’s Growth". Bliss Drive. Retrieved 26 May 2014.
- Skok, David (6 December 2009). "Lessons Learned – Viral Marketing". For Entrepreneurs. Retrieved 26 May 2014.
- Lee, Yee (15 January 2008). "The Four Viral App Objectives (a.k.a., “Social network application virality 101″)". FrameThink. Retrieved 26 May 2014.
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