绍兴市财务数据集成平台系统客户分级评价数据

通过收集和分析绍兴市客户对财务数据集成平台系统消费相关数据，使用RFM客户价值模型，了解客户对财务数据集成平台系统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：采集绍兴市客户对财务数据集成平台系统的相关交易数据。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匿名化处理。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≤1为1分，1＜Z≤3为2分，3＜Z≤5为3分，5＜Z≤8为4分，8<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 consumer-related data of Shaoxing customers for the financial data integration platform system, and applying the RFM customer value model to assess customers' purchasing power and consumption preferences of the platform, conduct customer grade ratings, realize precise operational management, and meet the personalized demands of customers in different value tiers through customer value management. For Grade A customers, engage in 1 to 2 communication sessions per month; for Grade B customers, engage in 1 to 2 communication sessions per quarter; for Grade C customers, engage in 1 to 2 communication sessions every six months. In addition, this dataset can provide data support for enterprises with highly overlapping local customer bases to deliver personalized services for customers across different grade tiers.

1. Data Collection: Collect relevant transaction data of Shaoxing customers for the financial data integration platform system. Specifically, the "order time" in the collected data 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 relative to the statistical time; "total historical purchase times" and "total historical purchase amount" refer to the total number of purchases and total purchase amount calculated within the historical service period.

2. Data Processing: Classify, merge and accumulate collected data including 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 to anonymous identifiers.

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 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 M score is divided into 5 levels based on the total historical purchase amount (Z): 1 point for 0 < Z ≤ 1, 2 points for 1 < Z ≤ 3, 3 points for 3 < Z ≤ 5, 4 points for 5 < Z ≤ 8, and 5 points for Z > 8;
RFM Comprehensive Score (X) = 0.3*R + 0.4*F + 0.6*M;
Customer grades are divided into three tiers: Grade C for 0 ≤ X ≤ 3, Grade B for 3 < X ≤ 6, and Grade A for X > 6

搜集汇总

背景与挑战

背景概述

该数据集聚焦于绍兴市财务数据集成平台系统的客户分级评价，包含521条客户交易记录，涵盖客户编号、下单时间、订单金额、历史购买行为等关键字段。它基于RFM客户价值模型，通过R（最近购买时间）、F（购买频率）、M（购买金额）评分计算综合得分，将客户划分为A、B、C三个等级，旨在支持精准化运营和个性化服务。数据由企业自行产生，更新按需，已进行脱敏处理并存证，适用于客户价值管理和区域企业数据共享场景。