1. SAP Glossary
  2. Customer Attribution
  3. spend coverage



What is spend coverage in SAP (CEC-MKT-CAT - Customer Attribution)?



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SAP Term: spend coverage

  • Component: CEC-MKT-CAT

  • Component Name: Customer Attribution

  • Description: The estimated percentage of marketing activities with associated cost data. Spend coverage can be estimated for a given channel or campaign, for example.


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  • Key Concepts: 
    Spend coverage is a metric used in the CEC-MKT-CAT Customer Attribution component of SAP software. It measures the amount of customer spending that is attributed to a particular marketing campaign or channel. It is calculated by dividing the total amount of customer spending attributed to a campaign or channel by the total amount of customer spending for the period. 
    
    How to use it: 
    To use spend coverage, you must first set up the CEC-MKT-CAT Customer Attribution component in SAP. Once this is done, you can track customer spending for each marketing campaign or channel and calculate the spend coverage metric. This will give you an indication of how effective your campaigns are in driving customer spending. 
    
    Tips & Tricks: 
    When calculating spend coverage, it is important to ensure that all customer spending is accurately tracked and attributed to the correct campaigns or channels. This will ensure that your spend coverage metric is accurate and reliable. Additionally, it is important to track customer spending over time in order to get an accurate picture of how effective your campaigns are in driving customer spending. 
    
    Related Information: 
    The CEC-MKT-CAT Customer Attribution component of SAP software also includes other metrics such as return on investment (ROI) and cost per acquisition (CPA). These metrics can be used in conjunction with spend coverage to gain a better understanding of how effective your marketing campaigns are in driving customer spending. Additionally, there are other tools available within SAP that can help you track and analyze customer spending data.
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