The MIDEM-borne application takes "algorithm-ing" to a whole new level.
Google and Facebook have pioneered the art of the web-based content algorithm, but what about for audio? LISNR, a Cincinnati-based mobile tech firm, is hoping to become that solution.
A new app that debuts today on iOS and Android uses an "ultrasonic smart tone" to generate content recommendations based on audio activity picked up by any nearby speaker -- be it a phone, a TV, a car stereo, a sporting event, music venue, supermarket or movie theater. So if you're listening to a Drake song on the radio, LISNR may serve you an article from content partner Complex about the Toronto rapper or one of his affiliated acts, as well an ad from the company's early brand partners like Mondelez, AT&T and Budweiser. Pepsi is the first official brand partner at launch, having helped select LISNR as one of 10 finalists earlier this year at the MIDEMlabs startup competition in Cannes, France.
"Think of it as the Flipboard for music -- a service that rewards you for listening with content," says LISNR's founder and CEO Rodney Williams. Having been developed in beta form for the last year-and-a-half, LISNR has already attracted over 100,000 users and 6 million total platform downloads, Wiliams reports. "Basically, it can take a bunch of different data points or activity you're doing and it automates specific pieces of content that might make sense for that particular moment," he says, noting that LISNR has seen an average 50% click-through rate on content. "The goal is to get that 50% engagement to 75%.