Customer Relationship Analysis

What Does Customer Relationship Analysis Mean?

Customer relationship analysis (CRA) is a term for systems that help to analyze data about customers so that businesses can plan better or make better decisions. CRA tools can order data and provide accessible results using data mining to assist human decision makers in selling, customer outreach, and other business processes.

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Techopedia Explains Customer Relationship Analysis

At its core, CRA is very similar to customer relationship management (CRM). The main difference between the use of these two terms seems to be that while CRA pertains more to the analysis of stored data, CRM most often applies to systems that make existing data visible during interactions with customers, or to systems that generally present a picture of an individual customer, not necessarily for data mining, but for general reference. For example, a simple visual sheet with customer contact info would usually fall under CRM, while a software product that analyzes hundreds of customers and sorts them into actionable categories would fall under CRA.

CRA can provide results such as profitability analysis, which can project who is likely to make purchases in a given scenario. It can also make other projections to help give a business a clearer picture of its prospects with a customer base. As with CRM, CRA can also help a business to generally "know," and therefore serve, its customers better. One of the main challenges of CRA reported by experts is the task of fitting these tools into an existing IT structure.

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Margaret Rouse

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical, business audience. Over the past twenty years her explanations have appeared on TechTarget websites and she's been cited as an authority in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine and Discovery Magazine.Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages. If you have a suggestion for a new definition or how to improve a technical explanation, please email Margaret or contact her…