Data-Driven Marketing Analysis for Music Worcester

Abstract

Music Worcester is a non-profit organization and a key pillar in the cultural arts community in the Greater Worcester area. They host a myriad of musical performances, including choral, dance, brass, classical, and contemporary music. This project analyzes Music Worcester’s ticket sales data, utilizing patron segmentation, time series analysis, statistical modeling, and data visualization techniques to identify customer tendencies. Based on these results, marketing strategies were proposed to better target key demographics, increase ticket sales, and encourage repeat patronage

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This paper was published in Digital WPI.

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