As part of my E-commerce marketing class at FIT, I worked on a project that involved analyzing user data from the popular dating app, Bumble. The goal of the project was to gain insights into user behavior and preferences and use that information to optimize user engagement and retention on the platform.
 

To achieve this goal, I first gathered and organized data on user demographics, interests, and engagement metrics from Bumble's API. I then performed various data analysis techniques, such as clustering and regression analysis, to identify patterns and correlations within the data.

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Based on the insights gained from the analysis, I developed several recommendations for Bumble to improve user engagement and retention. For instance, I suggested personalized onboarding experiences for new users based on their interests and preferences, as well as implementing targeted push notifications to re-engage inactive users.

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Overall, this project provided me with valuable experience in data analysis and marketing strategy development, as well as a deeper understanding of user behavior in the context of an e-commerce platform.