Notes de projet (article complet à rédiger)
- Optimisation des campagnes marketing : les bons filtres, au bon moment, sur le bon canal (cross-canal et cross-device)
- Mise en place de plusieurs algorithmes et campagnes marketing
- Optimisation des user journeys et de l'envoi des campagnes suivant le profil client (user journey x campaign manager)
- Ciblage intelligent basé sur le comportement et les préférences clients
- CDP: Plateforme CDP (customer profiles, segmentation engine)
- Data Warehouse: BigQuery
- Activation: CRM platforms (Plateforme CRM, Plateforme marketing automation)
- 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