{"id":1247,"date":"2026-01-26T15:36:51","date_gmt":"2026-01-26T15:36:51","guid":{"rendered":"https:\/\/be-inf.ai\/?post_type=case&#038;p=1247"},"modified":"2026-02-12T12:27:32","modified_gmt":"2026-02-12T12:27:32","slug":"predictive-analytics-churn-risk","status":"publish","type":"case","link":"https:\/\/be-inf.ai\/de\/case\/predictive-analytics-churn-risk\/","title":{"rendered":"Ein Telekommunikationsanbieter kann nun Kunden mit hohem Abwanderungsrisiko drei Monate im Voraus identifizieren."},"template":"","meta":{"_acf_changed":false,"content-type":""},"industry":[30],"service":[27],"class_list":["post-1247","case","type-case","status-publish","hentry","industry-saas","service-predictive-analytics"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>A telecom provider is now able to see high churn risk customers 3 months prior - be-inf.ai<\/title>\n<meta name=\"description\" content=\"See how a provider with 70,000 subscribers reduced revenue loss by predicting churn early. 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