上海市无人机客户分级评价数据
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通过收集和分析上海市客户对无人机消费相关数据,了解客户对无人机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:采集上海市客户对无人机的相关交易数据。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≤20000为1分,20000<Z≤40000为2分,40000<Z≤60000为3分,60000<Z≤80000为4分,80000<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 study collects and analyzes drone consumption-related data of customers in Shanghai to understand their purchasing power and consumption preferences for drones, as well as whether the product sells well. The findings are intended to help all enterprises in the industry formulate production strategies and better provide personalized products and services. Specifically, communicate with Tier A customers 1 to 2 times per month, Tier B customers 1 to 2 times per quarter, and Tier C customers 1 to 2 times every six months, so as to develop more precise production and marketing strategies. 1. Data Collection: Collect relevant transaction data of Shanghai customers regarding drones. Among the collected data, "order placement time" refers to the timestamp of the most recent order prior to the statistical time; "order amount" refers to the amount of this most recent order prior to the statistical time. The "history" in "total historical purchase times" 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 shall be counted. 2. Data Processing: Classify, merge and accumulate the collected data such as the current order amount (in CNY) and total historical order amount (in CNY) to facilitate subsequent analysis. 3. Algorithm Processing: R Score: 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 historical purchase times (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: Divided into 5 levels based on the total historical purchase amount (Z): 1 point for 0 < Z ≤ 20000, 2 points for 20000 < Z ≤ 40000, 3 points for 40000 < Z ≤ 60000, 4 points for 60000 < Z ≤ 80000, and 5 points for Z > 80000; RFM Composite Score (X) = 0.3*R + 0.4*F + 0.6*M; Membership tiers are divided into three levels A, B and C: Tier C for 0 ≤ X ≤ 3, Tier B for 3 < X ≤ 6, and Tier A for X > 6.




