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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?
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.
For example: cash over and beyond what competent people can intelligently expend is wasted. Of the three critical resources, funds should be allocated last. The corporation should firstly allocate management talent, based on the available mono (things): plant, machinery, technology, process know-how and functional strength.
These analytics help improve customer service by finding small problems which can be solved, perhaps by marketing to different parts of a consumer audience differently. [20] For example, through the analysis of a customer base's buying behavior, a company might see that this customer base has not been buying a lot of products recently.
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 ...
Marketing mix modeling (MMM) is an analytical approach that uses historic information to quantify impact of marketing activities on sales. Example information that can be used are syndicated point-of-sale data (aggregated collection of product retail sales activity across a chosen set of parameters, like category of product or geographic market) and companies’ internal data.
Customer: encourages the identification of measures that answer the question "What is important to our customers and stakeholders?". Examples: percent of sales from new products, on time delivery, share of important customers’ purchases, ranking by important customers.
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