Our Predictive Customer Analytics Experts
Sofia Alvarado 🇪🇸
Churn Risk ModelerSofia uses advanced churn prediction models to flag potential customer exits before they occur. Her work powers early intervention campaigns. She works closely with CRM and retention teams. Her models are key to increasing client lifetime value.
Clara Jensen 🇩🇰
Segmentation Data ArchitectClara leads the segmentation architecture for Need Order’s analytics team. She organizes customer data into dynamic cohorts that evolve over time. This drives personalized marketing and improved engagement. Her systems keep segmentation both smart and scalable.
Henry Dubois 🇫🇷
Customer Journey PredictorHenry uses predictive journey modeling to inform content, timing, and channel strategies. His work increases conversion rates and campaign efficiency. He collaborates with UX and automation teams. Clients benefit from a more intuitive customer flow.
Greta Lang 🇩🇪
Attrition Insights AnalystGreta leads churn cause analysis at Need Order. She uses deep pattern mining and explainable models to highlight what drives attrition. Her insights lead to high‑impact customer experience improvements. She plays a vital role in reducing overall churn.
Elias Navarro 🇩🇪
Segmentation & Recommendation EngineerAt Need Order, Elias builds and deploys end‑to‑end recommendation engines—ingesting user events, training segmentation models, and serving personalized suggestions via APIs. He collaborates with data teams to ensure feature quality and with frontend engineers to integrate recommendations seamlessly. He also monitors model performance, retraining when accuracy dips. Clients rely on his work to increase conversion rates and customer lifetime value through tailored experiences.