存证平台用户活跃度分析数据

通过了解用户在平台上的活跃度和行为，可以了解用户对产品的需求和反馈，从而优化产品和服务以提高用户满意度和忠诚度，同时通过了解业务表现和趋势，企业可以优化运营策略和提高业务效率。算法规则：1.数据采集：通过信证链存证平台采集相关业务数据。2.数据处理：对采集到的数据进行筛选合并、匹配关联、汇总归类，便于指数统计。3.算法加工：本年度用户活跃度（y）= a1*年度网页取证上链量（x1）/年度网页取证上链量峰值（x1 max）+ a2*年度现场取证上链量（x2）/年度现场取证上链量峰值（x2 max） + a3*年度录屏取证上链量（x3）/年度录屏取证上链量峰值（x3 max），其中a1,a2,a3为权重系数。；4.分类分级：根据用户活跃度对于平台用户进行进一步划分：高活跃用户（≥45%）、中活跃用户（≥10%）、低活跃用户（≥5%）、沉睡用户（<5%）。

By analyzing users' activity levels and behaviors on the platform, enterprises can gain insights into user needs and product feedback, thereby optimizing products and services to improve user satisfaction and loyalty. Meanwhile, by assessing business performance and trends, companies can optimize operational strategies and enhance business efficiency.
Algorithm Rules:
1. Data Collection: Collect relevant business data via the Xinzheng Chain evidence storage platform.
2. Data Processing: Screen, merge, match, associate, summarize and categorize the collected data to facilitate index statistics.
3. Algorithm Calculation: The annual user activity index (y) is calculated as: y = a1*(x1 / x1_max) + a2*(x2 / x2_max) + a3*(x3 / x3_max), where x1 is the annual volume of web forensics uploaded to the blockchain, x1_max is the peak annual volume of web forensics uploaded to the blockchain; x2 is the annual volume of on-site forensics uploaded to the blockchain, x2_max is the peak annual volume of on-site forensics uploaded to the blockchain; x3 is the annual volume of screen-recording forensics uploaded to the blockchain, x3_max is the peak annual volume of screen-recording forensics uploaded to the blockchain; a1, a2 and a3 are weight coefficients.
4. Classification and Grading: Further segment platform users based on their activity levels into four categories: Highly Active Users (≥45%), Moderately Active Users (≥10%), Lowly Active Users (≥5%), and Dormant Users (<5%).

搜集汇总

数据集介绍

特点

该数据集包含存证平台用户活跃度分析数据，涵盖企业取证信息和用户活跃度指标，用于优化产品服务和运营策略。数据规模为2059条，每年更新一次，通过特定算法计算用户活跃度并进行分类。