Anticipate customer behavior – such as product cancellations or renewals – with instant insights from transactional data and digital interaction points.

Customer Retention

Anticipate customer behavior – such as product cancellations or renewals – with instant insights from transactional data and digital interaction points. The advanced machine learning application automates data mining, predictive analysis, and capture of leading churn indicators.

  • Cloud deployment

  • Identifiable interaction patterns

  • Insight into dissatisfied customers

  • Proactive customer-retention strategies

 

Understand and predict customer behavior Objectives Solution Benefits Quick Facts There is no easy way to understand customer behavior so you can provide your customers personalized service, present the best options to individual customers, and ensure that you retain your most valued customers. It is challenging to identify relevant data sources to pinpoint specific customer behaviors, such as customer satisfaction or churn. Legacy systems and processes don’t provide a complete view of the customer across various channels. Limited data acquisition capabilities also prevent a true understanding of customer transactional behavior.

Understand and Predict Customer Behavior SAP Customer Retention, powered by Leonardo ML uses all customer data to gain insight into current customer behaviors and provides a solution to influence future behavior.

By following individual customer digital footprints, SAP Customer Retention, powered by Leonardo ML measures how relevant certain touch points are to customer churn.

These insights aggregate customer event data to rank customer churn by risk, operating income loss, and days to churn. This provides timely churn prediction and gives the opportunity to prevent customers from leaving.

Capture a complete view of customer interactions

SAP Customer Retention, powered by Leonardo ML is a Big Data application running on SAP HANA® Cloud Platform that continuously monitors and predicts customer churn risk.

Historic customer data is mined from various sources and can identify churn-related behavior patterns and events.

Customer data is used to create a digital fingerprint across multiple data sources to provide insights on related events that aren’t always easy to pinpoint.

SAP Customer Retention, powered by Leonardo ML helps you decide the right actions to take with the right customers. Reach out to TPC to see how you can benefit from the latest advancements in Customer Retention technologies today!

ANY QUESTIONS?

YOUR CONTACT PERSON

GREG KULL

Managing Director

PHONE: +1 234.567.8901

EMAIL: Greg.Kull@TPCus.com

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