Since advertising revenues are modest compared to membership fees, this model requires a large number of page views to achieve profitability.
However, Sam Yagan describes dating sites as ideal advertising platforms because of the wealth of demographic data made available by users.
Opinions and usage of online dating services also differ widely.
A 2005 study of data collected by the Pew Internet & American Life Project found that individuals are more likely to use an online dating service if they use the Internet for a greater number of tasks, and less likely to use such a service if they are trusting of others.
From all this came a variety of business-level data structures which spawned POJOs and the underlying DB tables to store assorted inputs, flags and outputs.
He spent months designing the major details of the system, and more months designing the various sub-components.
Online dating services also differ widely in their revenue streams.
Some sites are completely free and depend on advertising for revenue.
In 2008, a variation of the online dating model emerged in the form of introduction sites, where members have to search and contact other members, who introduce them to other members whom they deem compatible.
Introduction sites differ from the traditional online dating model, and attracted a large number of users and significant investor interest.