Autonomously evaluate which segments are most likely to drive impact, based on a complex set of company KPIs.
AI autonomously clusters critical variables to generate granular, composite segments that can be explored and manipulated.
Add transparency to predictive reports by understanding the behavioral characterizations within each segment-based prediction.
With glassbox explainability, segments are presented visually and in natural language for non-data professionals, allowing a deeper understanding of business reality across the organization.
And as data and context changes, so does the segmentation output, adaptively keeping commercial activities fine-tuned over time.
India’s largest bank delivers cohesive personalized experiences across 10+ channels for its 45M customers.
By identifying over 200 actionable drivers of churn, a leading European media company accurately predicted 86% of churners.
National retailer used detailed store segmentation to optimize and automate assortment and pricing.
India’s largest bank delivers cohesive personalized experiences across 10+ channels for its 45M customers.
By identifying over 200 actionable drivers of churn, a leading European media company accurately predicted 86% of churners.
National retailer used detailed store segmentation to optimize and automate assortment and pricing.