IntroAnalytics Launches Real-time, Predictive Matchmaking for Online Dating

LONDON, January 17, 2011 /PRNewswire/ -- As the dating industry meets at iDate Miami this week, IntroAnalytics (at: http://www.introanalytics.com) will be showcasing its improved matchmaking and discovery software for dating sites. Their technology has also been shortlisted for Best New Technology in the iDate Awards being held in Miami on Thursday 20th January 2011.

One of the biggest problems faced by dating sites today is keeping visitors retained on site for as long as possible and keeping them as active as possible. By providing real time recommendations of potential dates based on the implicit preferences derived from a user's activity on a site, IntroAnalytics technology substantially increases both the time on site and the number of profiles examined and communicated with - thereby increasing both user satisfaction and profitability. The company has been around since 2008 and now serves over one hundred million recommendations a month to mid-tier US dating sites and some major top 10 UK sites like: Smooch.com; the WhiteLabelDating group of over 100 large UK sites; and http://FriendsreunitedDating.co.uk, one of UK's most trusted social brands.

Gavin Potter, a world expert in this field, and CTO of Introanalytics explains: "Most people are consistent in what they do which is invaluable data to a dating site. We can show men and women more of what they like and less of what they don't like purely based on what they do and not what they say in their profile." One-way recommendations are great as a retention tool, but what about matchmaking? Just because I like someone doesn't mean they'll like me back. Potter continues: "This is where the beauty of this technology can genuinely match people. We can predict who will like each other even before they have clicked on each other. That is pretty important to any type of dating site, whether casual or serious."

IntroAnalytics advanced recommendation technology makes it easy to achieve these benefits. They have built a robust SaaS (software as a service) platform and API to allow any dating site to instantly and easily add this technology to their site.

Martin Bysh, CEO of Smooch.com, an early adopter client of the technology, is very satisfied with the results: "We are seeing an approximate increase of 15-20% in overall daily site traffic and this has a knock on effect of about 10% improvement in premium member conversions. We are now committed to trialling the real-time technology on offer to further improve results."

Nick Tsinonis, co-founder and CEO, will be attending iDate this week and help evangelise his passion for innovation in the dating industry. "This time of year is very busy for online dating and the iDate dating industry conference in Miami brings the industry together and I'm impressed by the sharing of ideas and best practices. We are looking to grow substantially this year in the US and EU and are offering a free no-obligation trial to make sure potential clients are happy with results before they sign-up."

About introAnalytics

IntroAnalytics have created a "Software as a service" (SaaS) platform that allows any company to produce relevant and personalized recommendations for its customers. Their robust platform uses a combination of complex mathematics, adaptive machine learning and psychology to accurately match people and products to each other.

They offer customized products and services to online dating, e-commerce and social media sites to help them increase revenues by improving customer acquisition, increasing customer retention and providing an enhanced experience for daters through personalization and discovery.

Keywords: online dating, matchmaking, recommendation engine, recommendation algorithm, product discovery, personalization, personalized recommendations, behavioral analytics, behavioral targeting, collective intelligence, collaborative filter, recommender systems, long-tail analysis

More info on website: http://www.introanalytics.com

SOURCE IntroAnalytics