金华市光器件客户分级评价数据
收藏资源简介：
通过收集和分析金华市客户对光器件消费相关数据，了解客户对光器件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商品和服务，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，从而制定更精准的生产营销策略。1.数据采集：采集金华市客户对光器件的相关交易数据。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”中的“历史”指的是2024年1月1日至统计时间，统计这段时间内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（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≤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≤5000为1分，5000＜Z≤10000为2分，10000＜Z≤15000为3分，15000＜Z≤20000为4分，20000<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 optical device consumption-related data of customers in Jinhua City, to gain insights into customers' purchasing power and consumption preferences for optical devices, evaluate the market popularity of this product, formulate production strategies for all enterprises in the relevant industry, and deliver better personalized products and services. For customers classified as Grade A, 1 to 2 communications per month are recommended; for Grade B customers, 1 to 2 communications per quarter; for Grade C customers, 1 to 2 communications per half-year, so as to develop more precise production and marketing strategies. 1. Data Collection: Collect relevant transaction data of optical devices from customers in Jinhua City. 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 this most recent order. The term "historical" in "total number of historical purchases" and "total historical purchase amount" refers to the period from January 1, 2024 to the statistical time, and the total number of purchases and total purchase amount during this period are counted. 2. Data Processing: Classify, merge and accumulate the collected data including the current order amount (in yuan) and total historical order amount (in yuan) to facilitate subsequent analysis. 3. Algorithm Processing: - Recency Score (R Score): Divided into 5 levels based on the number of days (D) between the customer's most recent 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, 1 point for D > 50; - Frequency Score (F Score): 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, 5 points for S > 15; - Monetary Score (M Score): Divided into 5 levels based on the total historical purchase amount (Z): 1 point for 0 < Z ≤ 5000, 2 points for 5000 < Z ≤ 10000, 3 points for 10000 < Z ≤ 15000, 4 points for 15000 < Z ≤ 20000, 5 points for Z > 20000; - Comprehensive Recency-Frequency-Monetary (RFM) Score (X) = 0.3*R + 0.4*F + 0.6*M; - Customer membership levels are divided into three grades: Grade C for 0 ≤ X ≤ 3, Grade B for 3 < X ≤ 6, Grade A for X > 6.
