Customer Analysis Customer Analysis

kunden3

An enhanced understanding of customer behavior requires fast and easy access to customer information – oftentimes data stocks amounting to several million data sets with complex, heterogeneous structures. Permanent availability and continuous analyses are necessary requirements for an early identification of demands and trends. Only then, you will be one step ahead of your competitors with a fitting product and offer mix. And only satisfied customers secure a company’s high added value in short and long term.
  • With a customer value analysis via a customer segmentation in value groups, you will gain a fast overview over the sales potential in certain regions.
  • Functionalities for a structured comparison of customer groups show you differences and give you starting points for a targeted and individual address of these groups.
  • By comparing data stocks with arbitrary reference quantities, you are in the position to run comparative cause studies based on the method of statistical multiples.
  • A customer analysis enables a comparison of the customer portfolios from different business units.
  • The analysis helps you gain a deeper understanding of the customer structure, customer demands, and the evolutions within the customer portfolio.
  • At the same time, the analysis makes an evaluation of the customer value and the customer potential possible (with respect to up-/cross-selling).

Application example in a German insurance companyRead more
kunden3 dotted line
Screen of Customer Analysis