宁波地区微商平台消费者分析数据

通过采集分析线上销售平台中消费者的性别、年龄、地区，90天內的消费次数、浏览次数、搜索次数、关注商家、关注商品等关键信息，根据消费不同权重系数对消费者进行评分，可衡量消费者价值和创利能力，为电商平台提供精细化运营策略支持，提升用户活跃度和消费能力。1.数据采集：数据采集于浙里金消公众号，内容包括用户编号、姓名、性别、年龄、区/县、90天內的消费次数、浏览次数、搜索次数、关注商家、关注商品等。
2.数据处理：对采集到数据进行去重、合并、累加，以F、G、H列数据“消费次数（90天内）”、“浏览次数（90天内）”、“搜索次数（90天内）”建立线性组合模型，以权重重要程度设定WF=0.6，WG=0.3，WH=0.1，计算消费者总评分为T，T=0.6×F+0.3×G+0.1×H。
3.数据分析：根据消费者评分进行分级，大于0小于等于10的为D级客户，大于10小于等于20的为C级客户，大于20小于等于30的为B级客户，大于30小于等于40的为A级客户，大于40的为S级客户。
4.数据反馈：通过对客户的分级管理，为不同价值类型的客户个性化服务提供数据支持，进一步促进商户产品改进，提升消费者活跃度与消费能力。

This dataset collects and analyzes key consumer metrics from online sales platforms, including gender, age, region, 90-day consumption frequency, browsing frequency, search frequency, followed merchants and followed products. It scores consumers based on consumption-related weight coefficients, enabling evaluation of consumer value and profitability, and providing support for refined operation strategies of e-commerce platforms to boost user activity and consumption capacity.
1. Data Collection: Data is collected from the Zheli Jinxiao official WeChat account, covering user ID, name, gender, age, district/county, 90-day consumption frequency, 90-day browsing frequency, 90-day search frequency, followed merchants, followed products, etc.
2. Data Processing: Deduplication, merging and accumulation are conducted on the collected data. A linear combination model is established using the data of columns F, G and H, namely "90-day consumption frequency", "90-day browsing frequency" and "90-day search frequency". The weight coefficients are set as WF=0.6, WG=0.3 and WH=0.1 respectively, and the total consumer score T is calculated as T = 0.6×F + 0.3×G + 0.1×H.
3. Data Analysis: Consumers are graded by their scores: D-level customers for scores greater than 0 and ≤10, C-level customers for 10 < scores ≤20, B-level customers for 20 < scores ≤30, A-level customers for 30 < scores ≤40, and S-level customers for scores >40.
4. Data Feedback: Through tiered customer management, this dataset provides data support for personalized services targeting customers of different value tiers, further facilitating merchants' product improvements and enhancing consumer activity and consumption capacity.

搜集汇总

数据集介绍

特点

宁波地区微商平台消费者分析数据包含2001条记录，每日更新，涵盖消费者的性别、年龄、地区及90天内的消费、浏览、搜索等行为数据。通过线性组合模型计算消费者评分，用于分级管理客户，支持电商平台的精细化运营和提升用户活跃度。