Adult Film Site Curates NSFW Videos Based On Viewer Interests

Digital media could learn a thing or two from PornIQ’s method of crafting recommendations.

This week, a site that averages 70 million daily visitors released a new product devoted to personalized user experiences. But despite the tech world’s obsession with that trend, you’re unlikely to hear of this iteration around the agency or on any conference call. While all but a select few advertisers will shy away from Pornhub‘s new PornIQ, despite its cheap and plentiful inventory, the site exists as an experiment with the way we consume media. And the industry might want to pay attention.

PornIQ uses an algorithm that suggests Pornhub videos based on a user’s past choices, time of day, geographic location, and desired length of time. Like many successful porn sites, Pornhub is a platform similar to YouTube, not a content creator. It simply offers ad space next to hosted videos — a lot of hosted videos. So many that visitors might not know how to choose. As VP Corey Price explained:

If you know exactly what you’re looking for, just search. But if you don’t know exactly what you want, this is a great way to deliver a different kind of experience.

A profusion of content can be a liability, as other, cleaner sites that have invented their own hand-holding methodology understand. Spotify, for example, recommends artists, tracks, and live events on users’ home pages based on previous activity. Twitter sends emails suggesting which of its millions of accounts individual users may like to follow. The New York Times displays recommended news stories on subscribers’ home pages.

PornIQ stands out by filtering suggestions through a set of very personal user data, which Pornhub is known for collecting. Back in August, it released a slew of numbers revealing what kind of porn people tend to prefer in each country around the world, and which genre is most popular in each US state. (Strangely, Kentucky has been watching a lot of Japanese hentai.)

By PornIQ’s model, a fashion retailer might suggest a different pair of shoes based on geographic location or time of day — rain boots for a daytime visitor from Seattle, or strappy pumps for an evening shopper out of Miami — among numerous other applications of collected data. It’s interesting, if maybe a little unnerving for privacy advocates, to think about.

Of course, advertisers are sure to steer clear of alignment with porn, the most private of media channels. But Pornhub’s response to the trend of personalization may offer learnings for the industry.

 

PornIQ

Sources: PandoDaily, The Daily Dot

Image: We Heart It

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