Concessions Deep Dive

RoleAnalytics Lead
TimelineSep 2024 – Dec 2024
Tools
PythonPandasSQLJupyterExcel

Problem

Customer concessions were rising quarter-over-quarter with no clear attribution. Leadership needed to understand which operational failures drove the most financial impact.

Process

I built a multi-dimensional analysis framework that decomposed concessions by category, root cause, and fulfillment path. Used statistical methods to isolate signal from noise and prioritize interventions.

Solution

Delivered a prioritized action plan that identified 3 root causes responsible for 60% of concession spend, leading to targeted process changes and a measurable reduction in refund rates.