Bees and Pollen · raw details

Predictive Personalization to Boost in-app Conversions · Petah Tikva · Founded 2007

inactive Mature ← back to profile

About

Predictive Personalization to Boost in-app Conversions

Bees and Pollen is a social data-optimization platform that offers a predictive personalization solution designed to boost in-app conversions. Its solution improves the user experience by providing each user with better and more relevant page choices. Bees and Pollen is the developer of Honeylize, which delivers a complete personalization package for social games. The packageautomatically boosts engagement and conversions by analyzing patterns and predicting user preferences based ontheir social graph. The companys algorithms leverage both social and behavioral (CRM) data andcurrent session data to make intelligent predictions in real time, match each users predicted preferences, and adjust the users path and experience.

Identity

NameBees and Pollen
Slugbees-and-pollen
Type / kindstartup
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAgJ7cjYALDA

Status

Statusinactive
Status reasonNon Active, Jan 2017
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityPetah Tikva
HQ addressHaMagshimim Street 20, Petah Tikva, Israel

Web & social

LinkedInhttps://www.linkedin.com/company/1401646
Twitter / Xhttps://twitter.com/BeesAndPollen
Facebookhttps://www.facebook.com/BeesAndPollen
YouTubehttps://www.youtube.com/channel/UC12uDj2gAv406JDtyL7WEeA

Classifications

Primary sector Business Software
Sub-sectors
Business SoftwareSales & Marketing SolutionsAdvertising Platforms
Technologies
Platforms & InterfacesMobile
Target customers
Enterprise & Professional ServicesMarketing & SalesAdvertising
Business models
B2B
Tags
campaign-optimizationconversion-optimizationcustomer-retentioncustomer-engagementmonetizationuser-experiencepersonalizationbehavior-analyticsmobile-applicationsdata-optimizationgame-developersa-b-testinguser-acquisition

Funding

Total raised
Current stageMature

Raw source document

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