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Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing , site selection , and customer relationship management .
Customer Profitability Analysis (in short CPA) is a management accounting and a credit underwriting method, allowing businesses and lenders to determine the profitability of each customer or segments of customers, by attributing profits and costs to each customer separately. CPA can be applied at the individual customer level (more time ...
RFM is a method used for analyzing customer value and segmenting customers which is commonly used in database marketing and direct marketing. It has received particular attention in the retail and professional services industries. [1] RFM stands for the three dimensions: Recency – How recently did the customer purchase?
In marketing, a marketing plan is created to guide businesses on how to communicate the benefits of their products to the needs of potential customer. The situation analysis is the second step in the marketing plan and is a critical step in establishing a long term relationship with customers.
The Kano model is a theory for product development and customer satisfaction developed in the 1980s by Noriaki Kano.This model provides a framework for understanding how different features of a product or service impact customer satisfaction, allowing organizations to prioritize development efforts effectively.
Affinity analysis falls under the umbrella term of data mining which uncovers meaningful correlations between different entities according to their co-occurrence in a data set. In almost all systems and processes, the application of affinity analysis can extract significant knowledge about the unexpected trends [ citation needed ] .
Customer profitability is the difference between the revenues earned from and the costs associated with the customer relationship during a specified period. In theory, this is a trouble-free calculation to find out the cost to serve each customer and the revenues associated with each customer for a given period. [1]
Cohort analysis is a kind of behavioral analytics that breaks the data in a data set into related groups before analysis. These groups, or cohorts , usually share common characteristics or experiences within a defined time-span.