What is white space analysis in SAP CEC-MKT - SAP Marketing?

SAP Term: white space analysis

• Component: CEC-MKT

• Component Name: SAP Marketing

• Description: A calculation to identify certain product segments that are worth offering to a given customer. The calculation is based on the products bought by the customer's peer group in a user-defined customer segment such as "Industry".

Smart SAP Assistant

• Key Concepts: 
  White space analysis is a feature of the CEC-MKT SAP Marketing Cloud that helps marketers identify potential opportunities for growth. It allows marketers to analyze their current customer base and identify areas where they can expand their reach. This analysis can be used to identify new markets, target new customers, and develop new products or services. 
  
  How to use it: 
  White space analysis can be used to identify potential opportunities for growth by analyzing the current customer base. It can be used to identify new markets, target new customers, and develop new products or services. To use white space analysis, marketers need to input data about their current customer base, such as demographics, interests, and purchase history. The analysis will then generate insights about potential opportunities for growth. 
  
  Tips & Tricks: 
  When using white space analysis, it is important to ensure that the data being inputted is accurate and up-to-date. Additionally, it is important to consider the context of the data being analyzed in order to ensure that the insights generated are relevant and actionable. 
  
  Related Information: 
  White space analysis is a feature of the CEC-MKT SAP Marketing Cloud that helps marketers identify potential opportunities for growth. It is related to other features of the CEC-MKT SAP Marketing Cloud such as segmentation and targeting, which allow marketers to create personalized campaigns for their customers. Additionally, white space analysis can be used in conjunction with other marketing analytics tools such as predictive analytics and A/B testing in order to gain a more comprehensive understanding of customer behavior.