[Case Study]Mining Your Warranty Data Using RFM Analysis

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

Assume you have 10,000 customers, it costs $1 to mail each of them an offer, and you receive $10 in revenue from each offer accepted. If you mailed the offer to all 10,000 customers, it would cost you $10,000 ($1 x 10,000), and if every customer placed an order, your revenue would be $100,000 ($10 x 10,000), with a profit of $90,000. Clearly, this approach is a good business model. Unfortunately, the acceptance rate is more like 1%, so the revenue would be $1,000 ($10 x 100) which results in a loss of $9,000. The business problem here is to identify the customers who are more likely to accept an offer and only mail the offer to them.

本帖隐藏的内容

Mining Your Warranty Data Using RFM.pdf (630.93 KB)

2015-2-5 23:47:22 上传

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏0 回帖

关键词：Case study warranty Analysis Analysi warrant customers receive revenue placed profit

xiexie

看看~~~~~~~