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  1. SAP Glossary
  2. SAP Emarsys
  3. customer lifecycle


What is customer lifecycle in SAP CEC-EMA - SAP Emarsys?


SAP Term: customer lifecycle

  • Component: CEC-EMA

  • Component Name: SAP Emarsys

  • Description: A page in the Emarsys platform UI giving an oversight of the status of the contacts in the database according to the lifecycle stages defined during setup. These are based on eRFM scoring parameters and categorize contacts as one of the following: Leads, First-time Buyers, Active Customers, Defecting Customers, or Inactive Customers.


Smart SAP Assistant

  • Key Concepts: 
    Customer lifecycle is a term used to describe the stages a customer goes through when interacting with a business. It includes the stages of awareness, acquisition, conversion, retention, and loyalty. In the context of CEC-EMA SAP Emarsys, customer lifecycle is used to refer to the process of managing customer relationships and interactions throughout their entire journey with the company. 
    
    How to use it: 
    CEC-EMA SAP Emarsys provides tools to help businesses manage their customer lifecycle. It allows businesses to track customer interactions and engagement across all channels, from initial contact to post-purchase follow-up. It also provides insights into customer behavior and preferences, allowing businesses to tailor their marketing strategies accordingly. 
    
    Tips & Tricks: 
    When using CEC-EMA SAP Emarsys for customer lifecycle management, it is important to ensure that all customer data is up-to-date and accurate. This will help ensure that businesses are able to accurately track customer interactions and engagement across all channels. Additionally, businesses should take advantage of the insights provided by CEC-EMA SAP Emarsys to tailor their marketing strategies accordingly. 
    
    Related Information: 
    CEC-EMA SAP Emarsys also provides tools for segmentation and personalization, which can be used in conjunction with customer lifecycle management. Segmentation allows businesses to group customers based on their preferences and behaviors, while personalization allows businesses to tailor their marketing messages and offers based on individual customers’ needs and interests.
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