Project Notes (full article to be written)
- Cross-brand customer cannibalization and complementarity analysis across multiple retail brands within the same group
- Implementation of strategies to optimize global customer value
- Mutual customer data enrichment between brands
- Cloud: GCP
- Data Warehouse: BigQuery
- Languages: Python, SQL
- Orchestration: Airflow
- Cannibalization vs. complementarity analysis between brands
- Customer Lifetime Value (CLV) analysis: single-brand vs multi-brand customers
- Cohort analysis: tracking customers before/after starting to shop second brand
- Revenue attribution modeling
- Multi-brand customers have 2.5x higher CLV than single-brand
- Measurable impact on revenue and brand profitability
- Cross-brand customers: 15% of customers but 30% of revenue
- Online growth is 60% new customers, 40% migrated from stores (not pure cannibalization)