C5i > 实例探究 > Conducting tracking study to measure the impact of customer trust and experience on satisfaction

Conducting tracking study to measure the impact of customer trust and experience on satisfaction

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公司规模
1,000+
地区
  • America
国家
  • United States
产品
  • Blueocean Market Intelligence
技术栈
  • Data Analytics
  • Data Integration
实施规模
  • Enterprise-wide Deployment
影响指标
  • Brand Awareness
  • Customer Satisfaction
技术
  • 分析与建模 - 大数据分析
  • 分析与建模 - 数据即服务
适用行业
  • 公用事业
适用功能
  • 商业运营
服务
  • 数据科学服务
关于客户
The client is a leading natural gas and electric utility company. They have a large customer base and have been in operation for many years. They have a strong focus on customer satisfaction and have been conducting tracking studies to measure their performance in this area. However, a recent event in their service department raised concerns about the level of trust their customers have in the company. This led them to seek a more robust metric to assess their trustworthiness and understand the factors that drive it. They also wanted to understand the role of trust and customer experience in overall customer satisfaction and the effectiveness of their communication with customers.
挑战
The client, a large utility company, had been partnering with Blueocean Market Intelligence on a brand and customer satisfaction tracking study. However, a recent event in their service department made them question how much trust their customers actually had for the company. They requested Blueocean Market Intelligence to develop a robust metric that would allow them to assess their trustworthiness and determine which underlying factors drive the metric. Further, the study would need to determine the role of trust, customer experience and rate the overall satisfaction of communication with the utility.
解决方案
Blueocean Market Intelligence developed a new metric to assess the client's trustworthiness. They first reviewed the latest literature and thought leadership on customer trust in the utility and energy industry. They concluded that for most trust-relationships, the hierarchy of 'expectations' parallels the hierarchy of the 'end-users needs' with respect to the product or service offering. After collecting a sufficient amount of interviews, they tested hypotheses using hierarchical regression through dominance analysis. They built models that determined the impact of customer trust, experience, communication and each of their underlying factors on customer satisfaction. They also ran structural equation modeling to understand the interconnectivity between the factors and overall satisfaction.
运营影响
  • A statistically reliable model and framework for the client was built.
  • The client was able to make future business decisions and tactical responses based on the results of the study.
  • The client was able to identify areas of trust and experience where they needed to focus their resources.

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