厦门市猎头服务客户分级评价数据

通过收集和分析厦门市客户对猎头服务消费相关数据，使用RFM客户价值模型，了解客户对猎头服务的购买力水平和消费偏好对客户进行等级评级，实现精准化运营，通过对客户价值管理，满足不同价值客户的个性化需求。对于A等级客户可每月1至2次与之沟通，对于B等级客户可每季度1至2次与之客户沟通，对于C等级客户可每半年1至2次与之沟通。另外可以为本地区客户群体高度重叠企业提供不同等级客户个性化服务的数据支持。1.数据采集：采集厦门市客户对猎头服务的相关交易数据。其中，采集数据中“下单时间”为距离统计时间最近的一次订单时间，“订单金额”指的是距离统计时间最近的这次订单金额，“历史购买总次数”“历史购买总金额”指的是历史服务时间段内统计得出的购买次数和购买金额。2.数据处理：对采集到本次订单金额（万元）、历史订单总金额（万元）等数据进行分类、合并、累加，便于分析使用，其中客户编号已进行脱敏转换处理。3.算法加工：R评分：根据用户下单时间距离统计时间的天数（D）划分为5个等级: 0≤D≤10为5分，10＜D≤20为4分，20＜D≤30为3分，30＜D≤50为2分，50<D 为1分；F评分：消费频率评分根据历史购买总次数（S）,划分为5个等级: 0<S≤2为1分，2＜S≤5 为2分，5＜S≤10 为3分，10＜S≤15为4分，15< S为5分；M评分：根据历史购买总金额（Z）,划分为5个等级，0<Z≤3为1分，3＜Z≤5为2分，5＜Z≤10为3分，10＜Z≤20为4分，20<Z为5分；RFM综合评分（X）=0.3*R+0.4*F+0.6*M；客户等级分为ABC三级，0≤X≤3为C级，3＜X≤6为B级，6＜X 为A级

This dataset is constructed by collecting and analyzing consumption data related to headhunting services from customers in Xiamen. The RFM customer value model is adopted to evaluate customers' purchasing power and consumption preferences for headhunting services, classify customer tiers, and implement precision operation. Through customer value management, personalized demands of customers with different value levels are satisfied. For Level A customers, communicate with them 1 to 2 times per month; for Level B customers, communicate 1 to 2 times per quarter; for Level C customers, communicate 1 to 2 times semiannually. Additionally, this dataset can provide data support for enterprises with highly overlapping local customer groups to deliver personalized services for customers of different tiers.

1. Data Collection: Collect relevant transaction data of headhunting services from customers in Xiamen. Specifically, the "order placement time" refers to the timestamp of the most recent order relative to the statistical time; the "order amount" refers to the amount of the most recent order; the "total number of historical purchases" and "total historical purchase amount" refer to the total purchase times and total purchase amount calculated within the historical service period.

2. Data Processing: Classify, merge and accumulate the collected data such as the current order amount (in ten thousand yuan) and total historical order amount (in ten thousand yuan) to facilitate subsequent analysis. The customer IDs have been desensitized and converted.

3. Algorithm Processing:
- R Score: The R score is divided into 5 levels based on the number of days (D) between the user's order placement time and the statistical time: 5 points for 0≤D≤10, 4 points for 10<D≤20, 3 points for 20<D≤30, 2 points for 30<D≤50, and 1 point for D>50.
- F Score: The consumption frequency score is divided into 5 levels based on the total number of historical purchases (S): 1 point for 0<S≤2, 2 points for 2<S≤5, 3 points for 5<S≤10, 4 points for 10<S≤15, and 5 points for S>15.
- M Score: The consumption amount score is divided into 5 levels based on the total historical purchase amount (Z): 1 point for 0<Z≤3, 2 points for 3<Z≤5, 3 points for 5<Z≤10, 4 points for 10<Z≤20, and 5 points for Z>20.
- Comprehensive RFM Score: The comprehensive RFM score (X) is calculated as X = 0.3*R + 0.4*F + 0.6*M. Customer tiers are divided into three levels: Level C for 0≤X≤3, Level B for 3<X≤6, and Level A for X>6.

搜集汇总

背景与挑战

背景概述

该数据集包含533条厦门市猎头服务的客户交易记录，采用RFM客户价值模型对客户进行分级评价，通过分析最近下单时间、历史购买频率和总金额等指标，将客户划分为A、B、C三个等级，旨在帮助企业实现精准化运营和个性化服务管理。数据集以Excel格式提供，适用于租赁和商务服务业的企业，用于优化客户沟通策略和支持数据驱动的决策。