唇部护理类产品在小红书广告互动中各性别占比分析数据

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，数据集包含了单次互动量、男女各互动总量以及男女互动总量占比。通过了解不同性别人群对唇部护理的互动比例，品牌可以更精准地定位目标市场，制定针对性的营销策略。性别占比可以帮助品牌评估广告投放的效果，了解哪些广告内容更能吸引目标性别用户，从而优化广告预算分配和投放策略。进一步看可以帮助护肤品行业了解哪些产品特性更受特定性别欢迎，从而优化产品配方和包装设计，以满足不同性别用户的需求和偏好。数据有助于护肤品行业分析市场趋势，而品牌可以根据这些趋势调整市场策略。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精华的订单ID、单次互动量、用户性别、互动总量、女性互动总量和男性互动总量。将收集到的唇部护理类数据进行归集，对数据进行加工、筛选、统计、分析。
2.算法规则：女性互动总量/互动总量=女性互动总量占比，男性互动总量/互动总量=男性互动总量占比。
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，以满足不同性别用户的需求和偏好。

This dataset enables in-depth insights into the audience interested in lip care category products on the Xiaohongshu platform. It includes per-interaction volume, total interaction volumes of male and female users respectively, and the proportion of total interactions for each gender. By understanding the interaction proportions of different gender groups towards lip care products, brands can more accurately position their target markets and develop targeted marketing strategies. The gender interaction proportions can help brands evaluate the effectiveness of advertising campaigns, identify which ad content better attracts target gender users, and thus optimize advertising budget allocation and delivery strategies. Furthermore, this dataset can help the skincare industry understand which product characteristics are more popular among specific genders, so as to optimize product formulas and packaging designs to meet the needs and preferences of users of different genders. The data also assists the skincare industry in analyzing market trends, allowing brands to adjust their marketing strategies based on these 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 of lip serums, per-interaction volume, user gender, total interaction volume, total female interactions and total male interactions within the statistical time period. The collected lip care data is aggregated, processed, filtered, counted and analyzed.
2. Algorithm Rules: Total Female Interactions / Total Interactions = Proportion of Female Interactions; Total Male Interactions / Total Interactions = Proportion of Male Interactions.
3. Comprehensive analysis results are obtained through statistics and filtering, which 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 genders.

搜集汇总

数据集介绍

特点

该数据集分析了小红书平台唇部护理类产品的广告互动性别占比，包含3033条2024年9-11月的数据，显示女性互动占比高达99.41%，男性仅0.59%，适用于品牌精准营销和产品优化。