池州市财务代理客户综合分析数据

通过收集和分析客户财务代理相关数据，了解客户对财务代理的购买力水平和消费偏好，从而了解该产品是否畅销，从而为本行业的所有企业制定生产策略，更好地为用户提供个性化的财务服务，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，从而制定更精准的财务服务营销策略。1.数据采集：采集各年各个客户对财务代理的相关交易数据。 2.数据处理：对采集到2024年1月至2024年11月的客户数据进行分类、合并、累加，便于分析使用。 3.算法加工：R评分 根据用户付费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消费频率评分根据总服务次数（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评分根据服务总金额 （Z）,划分为5个等级，0<Z≤500为1分，500＜Z≤1000 为2分，1000＜Z≤2000 为3分，2000＜Z≤3000为4分，3000< Z为5分； RFM综合评分（X）=0.3*R+0.4*F+0.6*M；会员等级分为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 customer-related data for financial agency services, to understand customers' purchasing power levels and consumption preferences towards financial agency services, evaluate the market sales of such products, formulate production strategies for all enterprises in the industry, and better provide personalized financial services for users. Specifically, communicate with Class A customers 1 to 2 times per month, Class B customers 1 to 2 times per quarter, and Class C customers 1 to 2 times every six months, so as to develop more precise financial service marketing strategies.
1. Data Collection: Collect transaction data related to financial agency services for each customer across all years.
2. Data Preprocessing: Classify, merge and accumulate the customer data collected from January 2024 to November 2024 to facilitate subsequent analysis.
3. Algorithm-based Processing:
- R-score: Divide users into 5 tiers based on the number of days (D) between their paid service time and the statistical cutoff 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 (consumption frequency): Divide users into 5 tiers based on the total number of services received (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 (total service amount): Divide users into 5 tiers based on the total service amount (Z): 1 point for 0<Z≤500, 2 points for 500<Z≤1000, 3 points for 1000<Z≤2000, 4 points for 2000<Z≤3000, and 5 points for Z>3000.
- RFM composite score (X) = 0.3*R + 0.4*F + 0.6*M.
- Membership level classification: Divide customers into three grades A, B and C, where Class C corresponds to 0≤X≤3, Class B corresponds to 3<X≤6, and Class A corresponds to X>6.

搜集汇总

背景与挑战

背景概述

池州市财务代理客户综合分析数据包含701条客户交易记录，每月更新，涵盖客户编号、付费时间、支付金额、服务次数、RFM评分等关键字段，用于分析客户购买力和消费偏好，优化财务服务营销策略。