唇部护理类目小红书广告阅读情况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唇部护理类目产品的兴趣人群，数据集包含了单次阅读量、<18、18-22、23-27、28-32、>32以上的总阅读量以及对应的阅读量占比。
通过分析不同年龄人群的广告阅读量情况占比，唇部护理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。此外唇部护理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9-11月唇部护理类目的用户数据，本数据包括统计时间段内唇部护理类目产品的订单ID、省份、单次阅读量、总阅读量、<18总阅读量、18-22总阅读量、23-27总阅读量、28-32总阅读量、>32总阅读量和对应阅读量占比。将收集到的唇部护理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总阅读量/总阅读量=<18总阅读量占比，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 lip care products on the Xiaohongshu platform. The dataset includes per-view reading volume, total reading volumes for age groups <18, 18-22, 23-27, 28-32, and >32, as well as their corresponding reading volume proportions.

By analyzing the proportion of ad reading volumes across different age groups, brands in the lip care category can conduct more precise market segmentation, develop tailored products and marketing strategies based on the characteristics and needs of consumers in each age group, optimize advertising channels and content, enhance the targeting and effectiveness of ads, and reduce unnecessary expenditures. Additionally, players in the lip care 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 line with emerging trends.

1. Data Processing: The user data of the lip care category from September to November 2024 was collected from the system database of the company's Xiaohongshu platform channel. This data includes order IDs, provinces, per-view reading volume, total reading volume, total reading volumes for each age group (<18, 18-22, 23-27, 28-32, and >32), and their corresponding reading volume proportions during the statistical period. The collected lip care category data is aggregated, processed, filtered, and statistically analyzed.

2. Algorithm Rules: The proportion of total reading volume for the <18 age group is calculated as (total reading volume of the <18 group) divided by the total reading volume of all age groups, and the same calculation method applies to other age groups.

3. Comprehensive analysis results are obtained through statistics and filtering, which can provide marketing strategy formulation and market guidance for enterprise managers and policy makers in their business operations, so as to meet the needs and preferences of users of different age groups.

搜集汇总

背景与挑战

背景概述

该数据集包含2024年9月至11月小红书平台唇部护理类目广告的阅读情况，按年龄分组统计阅读量和占比，共55998条数据。主要应用于市场细分和广告策略优化，帮助品牌针对不同年龄段消费者制定精准营销策略。