抖音店铺护肤油类目退款率分析数据

护肤品公司抖音店铺护肤油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，能深入了解护肤油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，护肤油类目退款率=护肤油类目已关闭订单量/护肤油类目订单量。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

This is an analysis dataset comparing the refund rate of the skincare oil category against the overall store refund rate for the Douyin shop of a skincare company. It plays a critical role in optimizing the promotional and operational strategies for the store's core product categories.

This dataset enables in-depth understanding of the disparity between the refund rate of the skincare oil category and the store-wide average refund rate, providing empirical data support for skincare industry operators to gain insights into market dynamics. In addition to the skincare industry, market operators of other product categories can also derive actionable market research insights from this dataset. Such analysis enables enterprises to more effectively adjust marketing strategies, optimize user experience, promote sustained business growth, and provide data 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. This dataset includes all product order IDs, order submission dates, restricted product categories, and other relevant information within the statistical period. Sensitive information is encrypted, and the data is processed, desensitized, filtered, and statistically analyzed.

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 = total closed orders / total order volume. The refund rate of the skincare oil category = closed orders of the skincare oil category / order volume of the skincare oil category. When the category's refund rate is higher than the average refund rate, the category's advertising placement is inefficient; otherwise, it is efficient.

3. Comprehensive analysis results are obtained through statistics and filtering, providing marketing strategy formulation and market guidance for enterprise managers and policy makers when making product promotion category placement decisions during business operations.

搜集汇总

数据集介绍

特点

该数据集包含抖音店铺护肤油类目的退款率分析数据，涵盖18720条订单记录，用于分析护肤油类目与全店平均退款率的差异，优化营销策略。数据通过特定算法处理，包括退款率计算和投放效率评估，适用于护肤品行业的市场调研和运营优化。