宠物护理行业基于触达方式的用户评级数据

此数据的核心是通过营销活动的触达方式，结合宠物护理行业用户对各类触达方式的反馈行为，定义用户行为系数，分析用户购买意向来预测用户销售转化率，并根据用户购买历史数据，对用户忠诚度进行评级，帮助企业定位活动完成情况，分析营销活动的有效性，为企业不同类型活动的策划以及活动推广营销策略提供数据支持。该数据方法可广泛应用于宠物护理行业、零售企业、电信运营公司、医疗健康、民生服务等单位，有助于企业通过此类分析数据来制定运营策略和触达方式，节省成本、提升营销效果和用户忠诚度。
数据采集：通过数云自研的麒麟CRM营销系统生成数据进行分析加工，每日更新。 数据处理：取特定用户ID为唯一标识，根据数据来源模型，对原始数据经过清洗和去重，根据用户行为定义用户行为系数，通过用户购买意向预测用户销售转化率，结合用户购买历史数据确定用户忠诚度评级。 数据加工：该数据集中“触达方式”：短信、邮件、超级短信、微信模板消息、AI外呼、淘宝短信、小程序订阅消息、抖音短信、企微消息、导购任务；“用户行为”：点击、回复、退订、打开、提交、分享；“用户行为系数”：点击(0.3)、回复(0.6)、退订(0.1)、打开(0.5)、提交(0.7)、分享(0.8)；“用户购买意向”：P1(无意向)、P2(初步了解)、P3(比较产品)、P4(准备购买)；“用户意向系数”：P1(0.1)、P2(0.3)、P3(0.5)、P4(0.8)；用户销售转化率预测 = （用户行为系数*0.2+用户购买意向*0.4+用户购买历史*0.4/12）*100%；用户销售转化率推进用户销售转化；“用户忠诚度评级”：A(10次以上)、B(6-9次)、C(2-5次)、D(1次)、E(无购买)。 数据应用：通过此数据的全面分析和分组管理，企业能够通过用户以触达方式的反应行为，预测用户的销售转化率，从而确定用户以于企业的忠诚度，能更好的实现差异化营销策略，从而推动用户忠诚度的提升和有效触达方式的选择。

This dataset's core is to define user behavior coefficients by combining touch channels of marketing campaigns with user feedback behaviors towards various touch channels among pet care industry users, analyze user purchase intentions to predict sales conversion rates, and rate user loyalty based on user purchase history data. It helps enterprises evaluate campaign completion status, analyze marketing effectiveness, and provide data support for corporate activity planning and marketing promotion strategy formulation across different campaign types.

This data methodology can be widely applied to pet care industry, retail enterprises, telecom operators, medical and health institutions, people's livelihood service providers and other organizations, assisting enterprises in formulating operational strategies and touch channels through such analytical data, reducing costs, improving marketing effectiveness and enhancing user loyalty.

Data Collection: The data is generated and processed for analysis via Shuyun's self-developed Kylin CRM Marketing System, and updated daily.

Data Processing: Specific user IDs are taken as unique identifiers. Based on the data source model, raw data is cleaned and deduplicated. User behavior coefficients are defined according to user behaviors, sales conversion rates are predicted through user purchase intentions, and user loyalty ratings are determined by combining user purchase history data.

Data Processing Details:
1. Touch Channels: SMS, Email, Super SMS, WeChat Template Message, AI Outbound Call, Taobao SMS, Mini Program Subscription Message, Douyin SMS, WeChat Work Message, Shopping Guide Task
2. User Behaviors: Click, Reply, Unsubscribe, Open, Submit, Share
3. User Behavior Coefficients: Click (0.3), Reply (0.6), Unsubscribe (0.1), Open (0.5), Submit (0.7), Share (0.8)
4. User Purchase Intentions: P1 (No Intention), P2 (Preliminary Understanding), P3 (Product Comparison), P4 (Purchase Preparation)
5. User Intention Coefficients: P1 (0.1), P2 (0.3), P3 (0.5), P4 (0.8)
6. User Sales Conversion Rate Prediction Formula: Predicted user sales conversion rate = (user behavior coefficient * 0.2 + user purchase intention score * 0.4 + (user purchase history count * 0.4) / 12) * 100%. This predicted conversion rate facilitates user sales conversion.
7. User Loyalty Rating: A (More than 10 purchases), B (6-9 purchases), C (2-5 purchases), D (1 purchase), E (No purchases)

Data Application: Through comprehensive analysis and group management of this dataset, enterprises can predict user sales conversion rates based on users' response behaviors to various touch channels, thereby determining users' loyalty to the enterprise. This enables better implementation of differentiated marketing strategies, promoting the improvement of user loyalty and the selection of effective touch channels.

搜集汇总

背景与挑战

背景概述

该数据集包含宠物护理行业用户的触达方式、行为数据及评级信息，旨在帮助企业分析营销效果和用户忠诚度，优化营销策略。数据规模为1501条，每日更新，适用于宠物护理及相关行业的营销分析。