Frame
Translate the marketing objective into a focused analytical question about rider behaviour.
Case study / 01
Back homeData analysis · Business recommendations
Understanding rider behaviour to shape a more focused membership conversion strategy.
The brief
The project asks how casual riders and annual members use a bike-share service differently, and how those differences can inform a conversion strategy.
The analysis is framed as a business case, connecting data preparation and rider comparisons to clear, decision-ready recommendations. The complete methodology, code, and outputs are documented in the live Kaggle notebook.
Analytical workflow
Translate the marketing objective into a focused analytical question about rider behaviour.
Structure and clean trip data so comparisons are reliable, consistent, and reproducible.
Compare usage patterns across rider groups and surface the differences that matter commercially.
Turn analytical findings into practical actions for membership conversion and targeted marketing.
The code
The working notebook keeps the analysis, visual outputs, and business narrative together in one reproducible case study.
analysis_workflow
# ask
define_business_question()
# prepare
clean_and_validate(trip_data)
# analyse
compare_rider_behaviour()
visualise_key_patterns()
# act
translate_insight_to_action()Next step