They switched provider before and will do it again.
35Billing
Payment plans
More than 30 days overdue. Fix the bill, keep the customer.
2Contact
Personal calls
No clear trigger. A conversation finds it.
Intervention queueTop 6 by revenue
Customer
City
Tariff
Probability
Revenue
Action
Churn BriefingBeyond this weekData refreshed daily7 / 8
Beyond this week
Four fixes that stop the next 83.
35of 83 at risk
Billing
Offer the payment plan at day 30, not day 60.
Past 60 days overdue, 75% leave. Between 31 and 60 days it is still 42%.
54of 83 at risk
Retention
Put previous switchers on a loyalty track.
Customers who changed provider before leave twice as often (39%).
27of 83 at risk
Pricing
Rework the BasisStrom tariff.
26.5% of its active customers sit above the trigger, highest of six. SmartStrom: 2.5%.
32of 83 at risk
Regional
Give Karlsruhe a named retention owner.
Lowest churn history, largest risk pool today. A blind spot, not a safe city.
Counts = at-risk customers in scope per fix; one customer can match several.
Churn BriefingHow it is builtData refreshed daily8 / 8
Partner
Built on SAP BDC. Read in under a minute every day.
We model your SAP data once in SAP Business Data Cloud. The data refreshes every day, the briefing lands every Monday: what is at risk, why, and what to do next.
SAP Datasphere & BW/4HANASAP BDC architectureSAP Analytics Cloud & storytellingSAP Databricks, ML & agentic BI
How this briefing is built
SOURCESAP systemsS/4HANA · ERP · BW
SOURCENon-SAP systemsSQL · cloud apps · files
Business Data Cloud
SAP DATASPHEREAnalytic model AM_DATENSET_CHURNHarmonised customer, contract & billing data
Zero-copy Delta Share
SAP DATABRICKSChurn scoring & MLProbability per customer · risk drivers