C5i > Case Studies > Customer Satisfaction and Brand Health Analysis for a Large Public Utility Company

Customer Satisfaction and Brand Health Analysis for a Large Public Utility Company

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Company Size
1,000+
Region
  • America
Country
  • United States
Product
  • Customer Satisfaction Analysis
  • Brand Health Analysis
Tech Stack
  • Data Integration
  • Multivariate Regression
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Brand Awareness
  • Customer Satisfaction
Technology Category
  • Analytics & Modeling - Predictive Analytics
Applicable Industries
  • Utilities
Applicable Functions
  • Business Operation
Services
  • Data Science Services
About The Customer
The client is a large public utility company based in the United States. They operate in the energy and utility industry, providing essential services to both residential and business customers. As a public utility, they are subject to a high level of scrutiny and regulation, and customer satisfaction is a critical metric for their success. The company is committed to understanding their customers' needs and expectations and continuously improving their service delivery to meet these expectations. They sought to establish a common framework for assessing customer satisfaction across their diverse customer base.
The Challenge
The client, a large public utility company based in the US, was facing challenges in establishing a common customer satisfaction framework for both residential and business customers. They needed to identify key metrics and determine the impact of relevant dimensions and factors influencing customer satisfaction. A significant challenge was accounting for low response rates among business customers. The company sought to assess and monitor customer satisfaction and performance drivers and benchmark brand health and performance.
The Solution
Blueocean Market Intelligence worked closely with the client to gain a deeper understanding of their business and touchpoints related to both residential and business segments. Based on domain knowledge and related historical results, an optimal customer satisfaction framework was developed for the client’s industry. The hierarchical customer satisfaction model framework consisted of two core constructs, which represented a set of company and service dimensions. A set of attributes or indicators were developed to represent each dimension. A sequential bottom-up model was then created relating each attribute to each dimension, and each dimension to each construct. Survey instruments were developed, and then analysis and reporting needs were aligned based on the model framework. A robust statistical approach, based on multivariate regression, was developed and applied to test the customer satisfaction framework on actual survey data. The model results were found to be consistent with the proposed conceptual framework and in line with the clients’ business and service delivery mechanism.
Operational Impact
  • Developed monthly and quarterly reports highlighting performance on key metrics, perceived gaps in service levels and brand perceptions, and historical trends.
  • The key driver analysis identified the most important dimensions and attributes influencing overall customer satisfaction.
  • The analysis helped to quantify the relationships between dimensions and attributes, and using the importance of predictor attributes and dimensions and associated performance scores, identified areas for improvement and leverage.
  • Insights from the analysis fueled strategic business actions.

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