抖音店铺乳液类目退款率分析数据

护肤品公司抖音店铺乳液类目退款率对比全店退款率分析数据.在优化店铺主推类目推广运营策略中发挥着关键作用。通过该数据，能深入了解乳液类目退款率与全店平均退款率之间的差异。这些数据为护肤品行业运营者提供了深入了解市场动态的调查数据支撑。除了护肤品行业，其他类目的市场经营者，也可以从数据中获得市场调研的运营，通过这样的分析，可以更有效地调整企业营销策略，优化用户体验，从而促进业务的持续增长，维护正常的市场运营秩序提供数据支持。1、数据采集、处理：从公司抖音渠道管理系统数据库中采集2024.7-9的用户使用数据，本数据包括统计时间内公司所有产品订单id，订单提交日期，限购商品类目等，并对敏感信息进行加密处理，对数据进行加工、脱敏、筛选、统计、分析。
2、算法规则：对采集得到的数据进行计算分析，总订单量为各类型订单量的总和，平均退款率=总已关闭订单量/总订单量，乳液类目退款率=乳液类目已关闭订单量/乳液类目订单量。当类目退款率高于平均退款率时，该类目投放不高效，反之则高效。
3.经过统计、筛选得到综合分析结果。为企业管理者和政策制定者在经营中的产品推广类目投放进行营销战略制定和市场指导

Analysis data on the comparison between the refund rate of the lotion category and the overall store refund rate for the Douyin shop of a skincare company. This data plays a critical role in optimizing the promotion and operation strategies of the shop's core product categories.

Through this dataset, stakeholders can gain in-depth insights into the gap between the refund rate of the lotion category and the store-wide average refund rate. These data provide robust survey-based support for skincare industry operators to understand market dynamics.

Apart from the skincare industry, market operators of other product categories can also derive actionable operational market research insights from this data. Such analysis enables enterprises to more effectively adjust their marketing strategies, optimize user experience, thereby driving sustained business growth and providing data-backed support for maintaining normal market operation order.

1. Data Collection and Processing: User usage data from July to September 2024 was collected from the database of the company's Douyin channel management system. The dataset includes all product order IDs, order submission dates, restricted purchase product categories, and other relevant information within the statistical period. Sensitive information is encrypted, and the data is processed through desensitization, screening, counting, and analysis.

2. Algorithm Rules: Calculations and analysis are conducted on the collected data. The total order volume is the sum of order volumes of all types. The average refund rate is calculated as total closed order volume divided by total order volume. The lotion category refund rate is calculated as closed order volume of the lotion category divided by total order volume of the lotion category. If a category's refund rate exceeds the average refund rate, its promotion efforts are inefficient; conversely, the promotion is effective.

3. Comprehensive analysis results are obtained via statistical screening. This dataset offers marketing strategy formulation and market guidance for enterprise managers and decision-makers when developing product promotion category investment plans during business operations.

搜集汇总

数据集介绍

特点

该数据集包含抖音店铺乳液类目的退款率分析数据，数据规模为18720条，更新频次为按需更新。数据集通过计算总订单量、已关闭订单量以及乳液类目的订单量和退款率，帮助企业分析乳液类目的投放效率，适用于护肤品公司优化推广运营策略。