RFM analysis
By whatis.com
SearchCRM.com
RFM (recency, frequency, monetary) analysis is a marketing technique used to determine quantitatively which customers are the best ones by examining how recently a customer has purchased (recency), how often they purchase (frequency), and how much the customer spends (monetary). RFM analysis is based on the marketing axiom that "80% of your business comes from 20% of your customers".
For more than 30 years, direct mailing marketers for non-profit organizations have used an informal RFM analysis to target their mailings to customers most likely to make donations. The reasoning behind RFM was simple: people who donated once were more likely to donate again. With the advent of e-mail marketing campaigns and customer relationship management software, RFM ratings have become an important tool. Using RFM analysis, customers are assigned a ranking number of 1,2,3,4, or 5 (with 5 being highest) for each RFM parameter. The three scores together are referred to as an RFM "cell" . The database is sorted to determine which customers were "the best customers" in the past, with a cell ranking of "555" being ideal.
Although RFM analysis is a useful tool, it does have its limitations. A company must be careful not to oversolicit customers with the highest rankings. Experts also caution marketers to remember that customers with low cell rankings should not be neglected, but instead should be cultivated to become better customers.
For more than 30 years, direct mailing marketers for non-profit organizations have used an informal RFM analysis to target their mailings to customers most likely to make donations. The reasoning behind RFM was simple: people who donated once were more likely to donate again. With the advent of e-mail marketing campaigns and customer relationship management software, RFM ratings have become an important tool. Using RFM analysis, customers are assigned a ranking number of 1,2,3,4, or 5 (with 5 being highest) for each RFM parameter. The three scores together are referred to as an RFM "cell" . The database is sorted to determine which customers were "the best customers" in the past, with a cell ranking of "555" being ideal.
Although RFM analysis is a useful tool, it does have its limitations. A company must be careful not to oversolicit customers with the highest rankings. Experts also caution marketers to remember that customers with low cell rankings should not be neglected, but instead should be cultivated to become better customers.
Disclaimer: Our Tips Exchange is a forum for you to share technical advice and expertise with your peers and to learn from other enterprise IT professionals. TechTarget provides the infrastructure to facilitate this sharing of information. However, we cannot guarantee the accu- racy or validity of the material submitted. You agree that your use of the Ask The Expert ser- vices and your reliance on any questions, answers, information or other materials received through this Web site is at your own risk.