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Uplift modelling has applications in customer relationship management for up-sell, cross-sell and retention modelling. It has also been applied to political election and personalised medicine. Unlike the related Differential Prediction concept in psychology, Uplift Modelling assumes an active agent.
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. Marketing provides services to satisfy customers.
Predictive analytics can help underwrite these quantities by predicting the chances of illness, default, bankruptcy, etc. Predictive analytics can streamline the process of customer acquisition by predicting the future risk behavior of a customer using application level data. Predictive analytics in the form of credit scores have reduced the ...
Retention cost, the amount of money a company has to spend in a given period to retain an existing customer. Retention costs include customer support, billing, promotional incentives, etc. Period, the unit of time into which a customer relationship is divided for analysis. A year is the most commonly used period.
Predictive modelling uses statistics to predict outcomes. [1] Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event, regardless of when it occurred. For example, predictive models are often used to detect crimes and identify suspects, after the crime has taken place. [2]
Customer or consumer profiles are the essences of the data that is collected alongside core data (name, address, company) and processed through customer analytics methods, essentially a type of profiling. The three basic methods of customer profiling are the psychographic approach, the consumer typology approach, and the consumer ...
More specifically, the methods of demand forecasting entail using predictive analytics to estimate customer demand in consideration of key economic conditions. This is an important tool in optimizing business profitability through efficient supply chain management. Demand forecasting methods are divided into two major categories, qualitative ...
The measurement of customer retention should distinguish between behavioral intentions and actual customer behaviors.The use of behavioral intentions as an indicator of customer retention is based on the premise that intentions are a strong predictor of future behaviors, such that customers who express a stronger repurchase intention toward a brand or firm will also exhibit stronger ...
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