TD Bank Campaign Analysis

Business Impact
- 11.70% baseline conversion identified across 45,211 customer contacts
- 42.42% conversion discovered in optimal segment (Seniors 60+ without loans)
- 40% waste reduction by capping contact attempts at 3 per customer
- 2.5x efficiency gains by focusing on high-conversion months (Mar/Sep/Oct/Dec)
Technical Execution
Interactive Dashboard
Built interactive dashboards with drill-through capabilities across demographics, financial product ownership, and temporal patterns. The Overview page surfaces KPIs while the Details page enables deep-dive analysis by any dimension.

Key Factor Decomposition
Implemented a decomposition tree visualization to identify the precise combination of factors driving conversion: education level → marital status → contact method → outcome. This revealed that tertiary-educated, divorced customers contacted by telephone had the highest success rates.
Methodology
- Data Validation: Verified conversion counts, success rates, and category totals against source data
- Missing Data Handling: Retained "unknown" values as separate category for transparency
- Outlier Treatment: Preserved high-balance outliers as they represent valuable customers
- Statistical Rigor: Recommended n≥200 threshold for segment-level decisions


