Customer Segmentation And Targeting: A Case Study

1750 Words7 Pages

Customer Segmentation and targeting have been quite widely employed by big businesses across industries such as retail, financial services, telecom, travel, database marketing, etc. While strategizing marketing plans, or formulating a new promotion communication, marketers need to be careful segmenting and targeting customers. It would be not be cost-effective if, for example, an ad campaign is targeted to a company’s entire customer base. Such untargeted marketing promotion has less probability to have a high conversion rate and may be not be of any help to a company’s brand perception. More so, as a company’s email list grows with new prospects and customers it becomes essential to segment the master list into more manageable groups and address …show more content…

All customers have varying needs and desires, and hence they respond to different marketing campaigns in diverse ways. Prediction of these reactions and subsequent buying actions can be done quite accurately by the results obtained from RFM segmentation. Here are some general ideas for the different types of campaigns that may work best with different RFM segments that are obtained from mining customer purchase and behavior history:
1. High Recency, High Frequency and High Monetary: Most loyal customers and prospects should be rewarded with exclusive privileges that make them feel valued; For instance, some retailers automatically waive off shipping and delivery charges and/or provide other perks like discount coupons to their top most online customers
2. High Recency, Low Frequency and Low Monetary: Newly acquired subscribers are a part of this segment; they should receive a good first impression with welcome offers, product-usage tips or other information that new customers would find …show more content…

A tool that takes a more all-encompassing look at customer value than RFM is Customer Value, wherein a number of parameters may be involved in defining this value. For example, in banking industry customer value may involve a variety of metrics above and beyond the monetary value of spends on the credit card by the customer or savings in the account. Here a large number of metrics, like credit behavior, type of investments opted for, loan availed, tenure of customer with the bank and other details would increase the complexity to determine customer value but also help in making more an informed customer

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