Churn Model for Paid Listings
Predicting churn to retain paying agents & developers.
At eBay Classifieds (Mexico & SA), Arturo built churn model combining listing, traffic, quality, and marketing data to optimize retention strategy.
El Desafío
Paid customers (agents & developers) churning despite heavy ad spend.
Nuestro Enfoque
Compiled dataset from Hadoop, Databricks, Google Analytics, and ProTool, used R for churn modeling and Tableau dashboards, and re-ran monthly to measure impact.
El Resultado
15% retention lift, optimized campaigns, improved listing quality, better ROI for paying customers.
¿Quieres resultados similares para tu organización?
Hablemos¿Listo para convertir datos en decisiones?
Hablemos sobre cómo Clarivant puede ayudarte a lograr ROI medible en meses.