Search results
Results from the WOW.Com Content Network
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 ...
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 .
For example, a service-based business could use these calculations: Recency = 10 – the number of months that have passed since the customer last purchased [2] Frequency = the maximum of "the number of purchases by the customer in the last 12 months (with a limit of 10)" and 1
Customer profitability (CP) is the profit the firm makes from serving a customer or customer group over a specified period of time, specifically the difference between the revenues earned from and the costs associated with the customer relationship in a specified period. According to Philip Kotler, "a profitable customer is a person, household ...
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. After reviewing their data, the company might think to market to this subset of consumers differently to best communicate how this company's products might benefit this group ...
Goals and objectives: An analysis on the mission of the business, the industry of the business and the stated goals required to achieve the mission. Position: An analysis on the marketing strategy and the marketing mix. Performance: An analysis on how effective the business is achieving their stated mission and goals.
Period, the unit of time into which a customer relationship is divided for analysis. A year is the most commonly used period. Customer lifetime value is a multi-period calculation, usually stretching 3–7 years into the future. In practice, analysis beyond this point is viewed as too speculative to be reliable.
An example of cohort analysis of gamers on a certain platform: Expert gamers, cohort 1, will care more about advanced features and lag time compared to new sign-ups, cohort 2. With these two cohorts determined, and the analysis run, the gaming company would be presented with a visual representation of the data specific to the two cohorts.