抖音店铺面膜类目退款率分析数据

护肤品公司抖音店铺面膜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，能深入了解面膜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，面膜类目退款率=面膜类目已关闭订单量/面膜类目订单量。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 analytical dataset comparing the refund rate of the facial mask product category against the overall store-wide refund rate for a skincare company's Douyin official shop. It plays a pivotal role in optimizing the promotional and operational strategies for the store's key product categories.
Using this dataset, stakeholders can gain in-depth insights into the disparity between the refund rate of the facial mask category and the store's average overall refund rate. These data provide robust survey-based support for skincare industry operators to comprehensively understand market dynamics. In addition to the skincare industry, market operators across other product categories can also derive valuable operational insights from this dataset. Such analysis enables enterprises to more effectively adjust their marketing strategies, optimize user experience, promote sustained business growth, and provide data-backed support for maintaining normal market operation order.
1. Data Collection and Processing: User behavior data spanning July to September 2024 is 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 fields within the statistical period. Sensitive information is encrypted, and the raw data undergoes processing, desensitization, filtering, counting, and analytical processing.
2. Algorithm Rules: Calculations and analyses are conducted on the collected dataset. The total order volume is defined as the sum of order volumes across all product categories. The overall average refund rate is calculated as total closed orders divided by total order volume. The refund rate of the facial mask category is calculated as closed orders in the facial mask category divided by total orders in the facial mask category. If a category's refund rate exceeds the overall average refund rate, its marketing investment is deemed inefficient; otherwise, it is considered efficient.
3. Comprehensive analytical results are derived through statistical processing and filtering. These results offer marketing strategy formulation and market guidance for enterprise managers and policy makers when making decisions regarding product promotion category investment in their business operations.

搜集汇总

数据集介绍

特点

该数据集包含抖音店铺面膜类目的退款率分析数据，涵盖订单id、商品类目、订单状态等字段，数据规模为18720条，主要用于护肤品公司优化推广运营策略。