Bees & Pollen Announces HoneyLizer Pro Now Supports PHP, as Well as Behavioral Attributes in Addition to Facebook Social Attributes

    SAVYON, ISRAEL, July 26, 2012 /24-7PressRelease/ -- Bees & Pollen, the leading games and apps optimization company, announced at Casual Connect Seattle event that HoneyLizer Pro, its real-time, automated Best-Fit optimization platform now supports PHP, as well as behavioral attributes in addition to Facebook social attributes.

The HoneyLizer is the only Best-Fit optimization platform leveraging social and behavioral user attributes. By running its predictive algorithms HoneyLizer identifies intricate correlations between users' data and their conversion patterns. As an on-line platform, once a pattern is detected HoneyLizer will automatically serve each user the Best-Fit game event option they are more likely to convert on. HoneyLizer never stops learning and upgrading the user's social and behavioral data DNAs signatures. The result is an immediate and persistent lift in all key KPI's and a rapid return on investment.

About Bees and Pollen:

Founded on the conviction that intelligent use of user data, while maintaining utmost user privacy is critical for success in social games and apps, Bees & Pollen is the first social data optimization company to reach market and implement HoneyLizer with major customers.

Bees and Pollen is the only company supporting automatic real-time Best-Fit optimization.

For more information about our ground breaking Optimization technology see: http://beesandpollen.com/TheHoneyLizer.aspx?v=4

Bees and Pollen - Get a Lift!

About Casual Connect Seattle:
http://seattle.casualconnect.org/

Founded on the conviction that intelligent use of user data, while maintaining utmost user privacy is critical for success in social games and apps, Bees & Pollen is the first social data optimization company to reach market and implement HoneyLizer with major customers. It is the only company supporting automatic real-time Best-Fit optimization, a technology going far and beyond A/B testing and user segmentation technologies.

# # #