基于客户见解的购物市场分析,使用社交媒体分析
Negar Nasrabadi1, Hendro Wicaksono1, Omid Fatahi Valilai1
1School of Business, Social & Decision Sciences, Constructor University Bremen, Campus Ring 1, 28759, Bremen, Germany.
MethodsX
|August 19, 2024
概括
在社交媒体上利用情绪分析和数据分析来了解客户行为并增强业务策略. 这项研究为优化产品和提高不同市场客户满意度提供了见解.
科学领域:
- 数据科学和商业分析数据科学和商业分析
- 数字营销和消费者行为
背景情况:
- 社交媒体平台已经改变了数字营销,为分析提供了丰富的数据.
- 公司可以利用数据分析和情绪分析来了解客户的情绪和预测行为.
研究的目的:
- 探索数据分析在社交媒体上的应用,用于市场战略和运营规划.
- 为企业提供洞察力,以优化产品供应并提高客户满意度.
- 开发一个概念模型来提取购物体验和客户购买决策因素.
主要方法:
- 进行了关于社交媒体和销售策略中的数据分析的文献综述.
- 设计了一个案例研究来分析不同类型的商店的客户感知和满意度.
- 探索了利用社交媒体和客户反来产生洞察力.
主要成果:
- 确定了企业在文化背景下优化产品和客户满意度的潜在影响.
- 了解了客户对各种零售环境的看法和满意度.
- 提出了一个概念模型,用于提取影响客户购买决策的关键因素.
结论:
- 情绪分析和数据分析对于了解客户行为和改进业务策略至关重要.
- 这个概念模型为企业提供了一个框架,可以利用社交媒体数据获得市场洞察力.
- 了解文化背景对于定制产品供应和提高客户满意度至关重要.
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