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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. Marketing provides services to satisfy customers.
Behavioral analysis focuses on understanding how consumers act and why, enabling predictions about how they are likely to act in the future. It enables marketers to make the right offers to consumer segments at the right time. Behavioral analytics can be useful for authentication as for security purposes. [1]
RFD – Recency, Frequency, Duration is a modified version of RFM analysis that can be used to analyze consumer behavior of viewership/readership/surfing oriented business products. (For example, amount of time spent by surfers on Wikipedia )
According to the American Marketing Association, consumer behaviour can be defined as "the dynamic interaction of affect and cognition, behaviour, and environmental events by which human beings conduct the exchange aspects of their lives." As a field of study, consumer behaviour is an applied social science. Consumer behaviour analysis is the ...
A customer insight, or consumer insight (CI), is an interpretation of trends in human behaviors which aims to increase the effectiveness of a product or service for the consumer, as well as increase sales for the financial benefit of those provisioning the product or service. [1] There is an overlap between market research and
Customer data management (CDM) is the ways in which businesses keep track of their customer information and survey their customer base in order to obtain feedback. CDM includes a range of software or cloud computing applications designed to give large organizations rapid and efficient access to customer data .