Current research reveals that online daters spend an average of 22 minutes each time they visit an online dating site and often log in more than 12 hours a week of computer based dating activity. Despite all of this time spent in the pursuit of love, a common complaint shared by online daters is the low response rate by potential love interests. A recent study by Berkeley, adds merit to this commonly held belief finding that for every 10 posts on a personal ad or dating site, men receive on average 3 responses while women received slightly higher results. Given the ever increasing popularity of Match.com, Plenty of fish and other virtual dating sites, there is a new focus on understanding this new societal trend through the lens of big data. In particular, there is a vested interest by the more than 1,500 online dating sites in North America that generate over 1.5 billion dollars every year to use big data to increase the success rates of its users. So what exactly does big data reveal about online dating and response rates?