Bees and Pollen
Predictive Personalization to Boost in-app Conversions
Company Overview
Snapshot
Founded in January 2007 by Alan Avidan, Bees and Pollen operates with 1–10 employees. The company introduced Sense6, a real-time, automated best-fit optimization platform, in February 2013.
Business overview
Bees and Pollen is a social data-optimization platform that provides predictive personalization solutions to enhance in-app conversions. Its core technology, Honeylize, improves user experience by delivering relevant page choices and automatically boosting engagement and conversions for social games. The company's algorithms leverage social, behavioral (CRM), and current session data to predict user preferences in real time, serving the mobile applications and game development markets within the Business Software sector.
Strategic signal
In February 2013, Bees and Pollen launched Sense6, a real-time, automated best-fit optimization platform. This introduction signaled the company's focus on advanced data optimization for games and applications, aiming to provide a comprehensive solution for improving user engagement and conversion rates through intelligent personalization.
Log in to access full profile ›Company Intelligence Q&A
- What is Bees and Pollen's primary offering?
- Bees and Pollen offers a predictive personalization solution designed to boost in-app conversions by improving the user experience through relevant page choices.
- Who founded Bees and Pollen?
- Bees and Pollen was co-founded by Alan Avidan.
- What is Honeylize?
- Honeylize is a product developed by Bees and Pollen that delivers a complete personalization package for social games, boosting engagement and conversions by analyzing user patterns and predicting preferences based on their social graph.
- When did Bees and Pollen introduce Sense6?
- In February 2013, Bees and Pollen introduced Sense6, a real-time, automated best-fit optimization platform.
- What data does Bees and Pollen's algorithms leverage?
- Bees and Pollen's algorithms leverage both social and behavioral (CRM) data, along with current session data, to make intelligent predictions in real time.