精华油类目小红书广告站外店铺行为成本的各年龄占比分析数据

通过该数据，能深入了解小红书平台对于精华油类目产品的兴趣人群，数据集包含了单次站外店铺行为量、<18、18-22、23-27、28-32、>32以上的总站外店铺行为量以及对应的站外店铺行为量占比。
通过分析不同年龄人群的广告站外店铺行为量情况占比，精华油类目品牌可以更精准地进行市场细分，针对不同年龄段的消费者特点和需求，制定相应的产品和营销策略。优化广告投放渠道和内容，提高广告的针对性和效果，减少无效的支出。此外精华油类目行业可以评估各年龄段市场的潜力，优先投入资源开发那些具有较大增长潜力的市场，利用趋势调整市场策略

1.数据处理：从公司小红书平台渠道系统数据库中收集到的2024年10-11月祛痘精华类目的用户数据，本数据包括统计时间段内精华油类目产品的订单ID、省份、单次站外店铺行为量、总站外店铺行为量、<18总站外店铺行为量、18-22总站外店铺行为量、23-27总站外店铺行为量、28-32总站外店铺行为量、>32总站外店铺行为量和对应站外店铺行为量占比。将收集到的精华油类目的数据进行归集，对数据进行加工、筛选、统计、分析。
2.算法规则：<18总站外店铺行为量/总站外店铺行为量=<18总站外店铺行为量占比，以此类推。
3.通过统计、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进行营销战略制定和市场指导，以满足不同年龄用户的需求和偏好。

This dataset enables in-depth insights into the demographic groups interested in essential oil skincare products on the Xiaohongshu platform. It includes single off-platform store interaction volume, total off-platform store interaction volumes for age brackets <18, 18-22, 23-27, 28-32, and >32, as well as the corresponding proportion of each age group's off-platform store interaction volume relative to the total.

By analyzing the proportion and volume of off-platform store interactions across different age groups, brands in the essential oil category can conduct more precise market segmentation. They can develop tailored products and marketing strategies based on the characteristics and needs of consumers in each age group, optimize advertising channels and content, improve advertising targeting and effectiveness, and reduce ineffective marketing expenditures. Additionally, the essential oil category industry can evaluate the market potential of each age group, prioritize resource allocation to develop markets with greater growth potential, and adjust market strategies in alignment with emerging trends.

1. Data Processing: User data of the acne-removing essential oil category was collected from the database of the company's Xiaohongshu platform channel system from October to November 2024. The dataset includes order IDs, provinces, single off-platform store interaction volume, total off-platform store interaction volume, off-platform store interaction volumes for each age bracket (<18, 18-22, 23-27, 28-32, >32), and the corresponding proportion of off-platform store interaction volume within the statistical period. Collected data of the essential oil category is aggregated, processed, filtered, counted, and analyzed.

2. Algorithm Rules: The proportion of off-platform store interaction volume for the <18 age bracket is calculated as (total off-platform store interaction volume of the <18 group) divided by the overall total off-platform store interaction volume; the same calculation logic applies to other age groups.

3. Comprehensive analysis results are obtained through statistical calculation and filtering. This dataset can provide references for enterprise managers and policy makers to formulate marketing strategies and guide market operations, so as to meet the needs and preferences of users across different age groups.

搜集汇总

背景与挑战

背景概述

该数据集提供了精华油类目在小红书平台上的广告站外店铺行为成本各年龄占比分析数据，包含1942条记录，适用于市场细分和广告投放优化。