Project Notes (full article to be written)
- Marketing campaign optimization: right filters, right time, right channel (cross-channel and cross-device)
- Implementation of multiple algorithms and marketing campaigns
- User journey optimization and campaign delivery based on customer profile (user journey x campaign manager)
- Intelligent targeting based on customer behavior and preferences
- CDP: CDP Platform (customer profiles, segmentation engine)
- Data Warehouse: BigQuery
- Activation: CRM platforms (CRM Platform, Marketing automation platform)
- Scoring: Python-based propensity models
- Orchestration: Airflow
- Campaign conversion: 1-2% → 3-4% average (+100% improvement)
- Cart abandonment recovery: 15% conversion (€8M+ annual revenue)
- Marketing efficiency: -30% campaign volume while maintaining revenue
- Self-service adoption: 100+ segments/month created by marketing teams
- Data enrichment: Profile completion 60% → 78%
- Automation: 60% of campaigns now automated behavioral triggers
- Revenue attribution: €25M+ annual revenue from behavioral campaigns