What is impact rate in SAP CEC-MKT-ML - Machine Learning?

SAP Term: impact rate

• Component: CEC-MKT-ML

• Component Name: Machine Learning

• Description: Percentage of all customers who experienced a certain interaction during the analysis period and then churned. Example: If 10 customers had an interaction "newsletter cancelled" in the last 10 months and 2 of these customers churned, then the impact rate for the interaction "newsletter cancelled" is 20%.

Smart SAP Assistant

• Key Concepts: 
  Impact rate is a metric used in CEC-MKT-ML Machine Learning to measure the effectiveness of a marketing campaign. It is calculated by dividing the number of conversions (sales, leads, etc.) by the total number of impressions (views, clicks, etc.). This metric helps marketers understand how successful their campaigns are and how to optimize them for better results.
  
  How to use it: 
  To calculate the impact rate of a marketing campaign, you need to first determine the total number of impressions and conversions. Impressions are typically measured by views, clicks, or other interactions with the campaign. Conversions are typically measured by sales, leads, or other desired outcomes. Once you have these numbers, divide the number of conversions by the total number of impressions to get your impact rate. 
  
  Tips & Tricks: 
  When calculating your impact rate, make sure to use accurate data. If you are using third-party data sources, make sure they are reliable and up-to-date. Additionally, it is important to track your impact rate over time so you can identify trends and make adjustments as needed. 
  
  Related Information: 
  For more information on impact rate and other metrics used in CEC-MKT-ML Machine Learning, check out SAP’s official documentation here: https://help.sap.com/viewer/cec_marketing_ml/en-US/f9f3d7a8b2e14f8a9f3d7a8b2e14f8a9.html