首页> 外文会议>Federated Conference on Computer Science and Information Systems >Data mining for customers' positive reaction to advertising in social media
【24h】

Data mining for customers' positive reaction to advertising in social media

机译:数据挖掘可提高客户对社交媒体广告的积极反应

获取原文

摘要

The paper aims at 1) finding the most important factors influencing positive customer reactions and purchasing merchandises after seeing online social media advertising and 2) identifying characteristics of customer clusters having positive reaction, as well as of purchasing customer clusters, after seeing online social media advertising. Data from 370 respondents are collected by questionnaires using convenience sampling method. Attribute selection and clustering techniques are employed in data analysis to find important factors and identify customer clusters, respectively. It is found that there is a strong correlation between the reason for clicking advertisement on social media and the satisfaction with merchandise, and between purchasing merchandise online and saving information for further consideration. The findings also indicate the characteristics of “Product conscious” and “Price Conscious” clusters for customer's reaction and purchasing after seeing online social media advertising.
机译:本文旨在1)在看到在线社交媒体广告后找到影响积极客户反应和购买商品的最重要因素,以及2)在看到在线社交媒体广告后确定具有积极反应的客户群的特征以及购买客户群的特征。使用便利抽样法通过问卷调查收集了370位受访者的数据。在数据分析中使用属性选择和聚类技术分别查找重要因素和识别客户群。发现在社交媒体上点击广告的原因与对商品的满意度之间存在强烈的相关性,并且在线购买商品与保存信息以备进一步考虑之间存在着很强的相关性。研究结果还表明,在看到在线社交媒体广告后,“产品意识”和“价格意识”集群的特征是客户的反应和购买。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号