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flowRL

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About

flowRL helps products grow revenue by implementing real-time UI personalization. It utilizes state-of-the-art Machine Learning models, specifically Reinforcement Learning, to continuously learn from user data. This approach optimizes for various target objectives, including retention, revenue, and Lifetime Value (LTV). Unlike traditional A/B testing, which often fails for a majority of users, flowRL predicts and selects the best-performing UI variants for each individual user, leading to a significant 2-3x uplift in target metrics. It streamlines the optimization process, eliminating the need for extensive A/B testing, data collection, and manual analysis, allowing teams to focus on feature development.

Platform
Web
Task
user personalizing

Features

real-time ui personalization

continuously learns from user data

automatic individual ui selection

eliminates extensive a/b testing and analysis

achieves 2-3x uplift over a/b testing

identifies best-performing ui variants per user

optimizes for retention, revenue, ltv

reinforcement learning models

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