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This GitHub repository contains the CliqueBait Digital Marketing Analysis project, utilizing SQL for comprehensive analysis of marketing campaigns, user engagement, product performance, and website interactions within the Clique Bait food app. The project offers actionable insights for optimizing marketing strategies in competitive landscape.
The purpose is to build the application for ordering food online by various companies' employees and collect it faster instead of standing in the queue in this busy office schedule.
Codes for food store presence, density and popularity predictor. Merges census tract-level demographic data from ACS, neighborhood amenities from heterogenous sources, and Point of Interest (POI) data from anonymized cellphone GPS ‘pings’ to identify food retailer location and foot traffic information.