What is predictive revenue in SAP CEC-EMA - SAP Emarsys?

SAP Term: predictive revenue

• Component: CEC-EMA

• Component Name: SAP Emarsys

• Description: The calculation of revenue based on predicted conversions. Smart Insight looks at the historical average spending figures for customers in each lifecycle stage and uses these to give an average value to each customer in each stage. Predicted revenues are then calculated by matching the likelihood of a contact to convert in each stage with the values those conversions would bring. This takes into account not only the initial conversion, but also the average revenue of all subsequent repeat purchases and conversions, giving a predicted lifetime value.

Smart SAP Assistant

• Key Concepts: 
  Predictive Revenue is a feature of the CEC-EMA SAP Emarsys platform that uses predictive analytics to forecast future revenue. It uses historical data and machine learning algorithms to identify patterns and trends in customer behavior, allowing businesses to make more informed decisions about their future revenue. 
  
  How to Use It: 
  To use the Predictive Revenue feature, businesses must first connect their customer data to the CEC-EMA SAP Emarsys platform. Once connected, the platform will analyze the data and generate predictions about future revenue. Businesses can then use these predictions to make more informed decisions about their future strategies. 
  
  Tips & Tricks: 
  When using the Predictive Revenue feature, it is important to ensure that the customer data being used is up-to-date and accurate. This will help ensure that the predictions generated are as accurate as possible. Additionally, businesses should regularly review their predictions and adjust their strategies accordingly. 
  
  Related Information: 
  The Predictive Revenue feature is part of the CEC-EMA SAP Emarsys platform, which also includes features such as customer segmentation, automated campaigns, and real-time analytics. For more information about the CEC-EMA SAP Emarsys platform, please visit their website at www.cec-ema.com.