浙江省服装袋类客户消费能力分析评价数据
收藏资源简介：
通过收集和分析各区域客户对服装袋系列产品消费相关数据，对历史下单客户建立画像，对客户进行标签制定，定位客户消费级别，为精准营销提供必要的客户分类数据，针对不同级别客户有针对性的制定广告营销策略提供数据支持，例如对于A等级客户可每月1至2次与之沟通及消息推送，抵扣服务等，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，从而制定更精准的生产营销策略，同时也为本行业的所有企业制定生产策略提供依据。 1数据采集：采集各年各个客户对服装袋系列产品的相关交易数据。 2.数据处理：对采集到本次订单金额（元）、历史订单总金额（元）等数据进行分类、合并、累加，便于分析使用。 3.算法加工：R评分根据用户下单时间距离统计时间的天数（D）划分为5个等级: 0≤D≤15为5分，15＜D≤30为4分，30＜D≤45为3分，45＜D≤60为2分，60<D 为1分； F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≤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）=a*R+b*F+c*M，a，b，c为权重系数分别为0.3，0.3，0.4。客户等级分为ABC三级，0≤X≤2为C级，2＜X≤3.5为B级，3.5＜X 为A级。
This dataset is constructed by collecting and analyzing consumption-related data of customers in various regions for the clothing bag product series. It aims to build profiles for historical ordering customers, formulate customer tags, locate customer consumption levels, provide necessary customer classification data for precision marketing, and offer data support for developing targeted advertising and marketing strategies for customers at different levels. For example, communicate with Level A customers 1 to 2 times per month and push messages, provide deduction services etc.; communicate with Level B customers 1 to 2 times per quarter; communicate with Level C customers 1 to 2 times every six months, so as to formulate more precise production and marketing strategies, and also provide a basis for all enterprises in this industry to formulate production strategies. 1. Data Collection: Collect relevant transaction data of each customer for the clothing bag product series in each year. 2. Data Processing: Classify, merge and accumulate the collected data such as current order amount (yuan), total historical order amount (yuan), etc., to facilitate subsequent analysis. 3. Algorithm Processing: 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≤15, 4 points for 15<D≤30, 3 points for 30<D≤45, 2 points for 45<D≤60, and 1 point for D>60. The F 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. The M score is divided into 5 levels based on the total historical purchase 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. The RFM comprehensive score (X) is calculated as X = a*R + b*F + c*M, where the weight coefficients a, b and c are 0.3, 0.3 and 0.4 respectively. Customers are divided into three grades A, B and C: Level C for 0≤X≤2, Level B for 2<X≤3.5, and Level A for X>3.5.
