宠物服务小程序宠物健康功能使用强度预测数据

对本公司的用途：1）通过分析宠物服务小程序宠物健康功能的使用强度预测数据，识别高频使用模块，优先优化用户体验，提升用户粘性。2）若健康功能使用强度持续增长，可探索增值服务（如付费健康咨询、定制化营养方案），提升变现能力。
对同行（其他宠物类应用开发者）的用途：通过对比行业数据，评估宠物健康功能的用户接受度，判断是否值得投入开发类似功能。数据还可作为行业报告基础，推动宠物健康数字化服务的标准化，促进行业良性发展。1.数据采集和预处理： （1）从公司开发的宠物服务小程序的用户行为日志中，提取反映用户每天使用“宠物健康功能”情况的数据，包括采集日期、是否为工作日、采集时间、功能名称、当日活跃用户数A/人、当日使用频次B、当日使用总时长C/min、当日软件总活跃用户数D/人；（2）对采集的数据进行清洗，以便后续的加工和建模。
2.建立宠物健康功能的用户使用强度计算模型： （1）计算功能当日使用率S：S=A÷D×100%；（2）引入时间加权因子q：若当天是工作日，q为1.2，反之为0.8；（3）计算当日加权平均使用时长Pq：Pq=C÷A×q；（4）计算当日用户活跃度指数H：H=√[A×(B×q)]；（5）建立使用强度W计算模型：W=0.5H+0.25Pq+0.25S；权重系数依据每个指标的重要性并结合行业经验确定。
3.建立使用情况预测模型： （1）用rolling函数统计过去30日和90日的总使用强度，在此基础上分别除以30和90，计算过去30日和90日的日均使用强度Wa、Wb；（2）基于Wa和Wb进行预测：未来7天使用强度预测值=Wa×7，为短期预测；未来30天使用强度预测值=Wb×30，为中期预测。

### Usage for the Company:
1. Analyze the usage intensity prediction data of the pet health function in the company's pet service mini-program to identify high-frequency usage modules, prioritize user experience optimization, and improve user retention.
2. If the usage intensity of the pet health function continues to grow, explore value-added services (such as paid health consultation and customized nutrition plans) to enhance monetization capabilities.

### Usage for Peers (Other Pet-related Application Developers):
Compare industry data to evaluate user acceptance of pet health functions, and determine whether it is worth investing in developing similar functions. The data can also serve as a basis for industry reports, promote the standardization of pet health digital services, and foster the healthy development of the industry.

#### 1. Data Collection and Preprocessing
(1) Extract data reflecting users' daily usage of the 'pet health function' from the user behavior logs of the company's pet service mini-program, including collection date, whether it is a working day, collection time, function name, daily active users A (unit: person), daily usage frequency B, total daily usage duration C (unit: minute), and total daily active users of the software D (unit: person);
(2) Clean the collected data to facilitate subsequent processing and modeling.

#### 2. Establish a User Usage Intensity Calculation Model for the Pet Health Function
(1) Calculate the daily usage rate S of the function: $S = A div D imes 100\%$;
(2) Introduce the time weighting factor q: if the day is a working day, q = 1.2; otherwise, q = 0.8;
(3) Calculate the daily weighted average usage duration $P_q$: $P_q = C div A imes q$;
(4) Calculate the daily user activity index H: $H = sqrt{A imes (B imes q)}$;
(5) Establish the usage intensity W calculation model: $W = 0.5H + 0.25P_q + 0.25S$; the weight coefficients are determined based on the importance of each indicator and combined with industry experience.

#### 3. Establish a Usage Situation Prediction Model
(1) Use the rolling function to count the total usage intensity of the past 30 days and 90 days, then divide by 30 and 90 respectively to calculate the average daily usage intensity $W_a$ and $W_b$ of the past 30 days and 90 days;
(2) Predict based on $W_a$ and $W_b$: the 7-day future usage intensity forecast value = $W_a imes 7$, which is a short-term forecast; the 30-day future usage intensity forecast value = $W_b imes 30$, which is a medium-term forecast.

搜集汇总

背景与挑战

背景概述

该数据集记录了宠物服务小程序中宠物健康功能的使用情况，包含用户活跃度、使用频次、使用时长等详细指标，并提供了使用强度计算和预测模型，适用于用户体验优化和行业分析。