唇部护理类目小红书广告消耗金额的各年龄占比分析数据
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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，数据集包含了单次广告投放消耗、<18、18-22、23-27、28-32、>32以上的总消耗金额以及对应的消费金额占比。 通过分析不同年龄人群的广告消耗金额占比，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、单次广告投放消耗、总消耗金额、<18总消费金额、18-22总消费金额、23-27总消费金额、28-32总消费金额、>32总消费金额和对应消费占比。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总消耗金额/总消耗金额=<18总消耗金额占比，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 interested demographics of lip care category products on the Xiaohongshu (Little Red Book) platform. It includes single ad delivery costs, total consumption amounts for age groups <18, 18-22, 23-27, 28-32, and >32, as well as their corresponding consumption proportion ratios. By analyzing the ad consumption proportion ratios of 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. They can also optimize ad delivery channels and content, enhance the targeting and effectiveness of ads, and reduce invalid spending. Additionally, 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 marketing strategies in line with industry trends. 1. Data Processing: User data of the lip care category collected from the company's Xiaohongshu platform channel system database between September and November 2024. This dataset includes order IDs, provinces, single ad delivery costs, total consumption amounts, total consumption amounts for age groups <18, 18-22, 23-27, 28-32, and >32, as well as their corresponding consumption proportion ratios within the statistical period. The collected lip care category data will be aggregated, processed, filtered, statistically calculated, and analyzed. 2. Algorithm Rules: The consumption proportion ratio for the <18 age group is calculated as (total consumption amount of the <18 age group) divided by the total consumption amount, and the same rule applies to other age groups. 3. Comprehensive analysis results are obtained through statistics and filtering. These results can provide enterprise managers and policy makers with references for formulating marketing strategies and providing market guidance during operations, so as to meet the needs and preferences of users across different age groups.
