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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]
Customer intelligence is a key component of effective customer relationship management (CRM), and when effectively implemented it is a rich source of insight into the behaviour and experience of a company's customer base. As an example, some customers walk into a store and walk out without buying anything.
The maximum score represents the preferred behavior and a formula could be used to calculate the three scores for each customer. 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]
Google Analytics is a web analytics service offered by Google that tracks and reports website traffic and also mobile app traffic and events, currently as a platform inside the Google Marketing Platform brand. [3]
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 ...
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