Bike share program: Revenue Optimization Insights

This project analyzes Divvy’s Q1 2019 bike‑share trips dataset to uncover rider behavior, identify revenue opportunities, and highlight strategies to convert casual users, optimize pricing, and improve operational efficiency for sustainable business growth.

Recommendations for Revenue Optimization: Building on the patterns observed across daily usage, rider types, trip duration, and demographic segments, several clear opportunities emerge for strengthening Divvy’s revenue performance. The most immediate win lies in converting high‑potential casual riders—particularly younger users aged 18–29 and those taking longer leisure trips—into subscribers through targeted promotions and commuter‑focused membership offers. Subscriber behavior shows strong morning and evening peaks, highlighting the value of improving bike availability during commute hours, expanding corporate membership programs, and ensuring station reliability around major employment hubs. Weekend and off‑peak demand, driven largely by casual riders, can be boosted through tourist