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Recommendations Served

Recommendation engine
for e-commerce, online dating and social media

IntroAnalytics has developed a unique recommendation engine for people and product introductions that can easily be integrated into your website. Our algorithms are based on a combination of machine learning and psychology to accurately identify people's tastes.

Benefits

Personalized upselling and cross-selling Identify and predict user tastes Anonymous and secure Anonymous and Secure
User Activity Up to 40% increase in user activity Increased user stickiness and user retention Easy integration of webservice / API Easy integration of webservice / API
Up to 30% increase in sales Personalized user experience Comprehensive reporting and custom user analytics Comprehensive reporting and custom user analytics
Featured Customers:
White Label Dating FHM Dating Maxim Dating Singles365 Smooch.com yesnomayB.com TangoWire Wired The New York Times Smooch.com
What the press and clients are saying about us:
Wired The New York Times Harvard Business Review Seth Godin's Blog
"… a new synthesis between psychology
and computer science."
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"… using techniques to create more exciting recommendations, not just relevant and safe ones."
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"Our pageviews and
conversions have
gone through
the roof"
Martin Bysh, CEO
"We are ensuring
maximized returns for
our partners"
Ross Williams, CEO
... Read More