Uncover 2024’s HOTTEST ecommerce personalization trends & master customer engagement. Explore Now!
lift in cross-brand communications
reduction in marketing investments
incremental revenue
reduction in churn

The scale and complexity of business with multiple brands and multi-country operations meant managing customer data and creating a single source of truth was a challenge. As a result, marketing decisions were more gut-based and shallow analytics-driven. With Algonomy, they aimed to:
Algonomy Personalization Suite:





Use Algonomy CDP to capture behavioral data in real-time for both known and anonymous customers. Create dynamic segments for activation at scale.
Leverage actionable algorithms to create granular micro-segments. Perform look-alike and propensity analyses to drive next-best actions, and measure response with campaign and journey analytics.
Leverage machine learning algorithms, advanced analytics, and micro-segmentation tools to automatically orchestrate, test, and optimize personalized campaigns across the entire customer journey.
Leverage data to send the right promotions and content to shoppers, at an individual level. Auto-optimize and eliminate tedious manual A/B tests.