Customer Satisfaction

Customer Satisfaction (CSAT) is a metric used to quantify the degree to which a customer is happy with a product, service, or experience. When it comes down to it, customer satisfaction is a reflection of how a customer feels about interacting with a business or a brand.

Definition of Customer Satisfaction == Customer satisfaction is defined as a measurement that determines how happy customers are with a company’s products, services, and capabilities. Customer satisfaction information, including surveys and ratings, can help a company determine how to best improve or changes its products and services. An organization’s main focus must be to satisfy its customers. This applies to industrial firms, retail and wholesale businesses, government bodies, service companies, nonprofit organizations, and every subgroup within an organization.

source: ASQ.org

Explaining Customer Satisfaction

Customer satisfaction, a term frequently used in marketing, is a measure of how products and services supplied by a company meet or surpass customer expectation. Customer satisfaction is defined as "the number of customers, or percentage of total customers, whose reported experience with a firm, its products, or its services exceeds specified satisfaction goals." In a survey of nearly 200 senior marketing managers, 71 percent responded that they found a customer satisfaction metric very useful in managing and monitoring their businesses. It is seen as a key performance indicator within business and is often part of a Balanced Scorecard. In a competitive marketplace where businesses compete for customers, customer satisfaction is seen as a key differentiator and increasingly has become a key element of business strategy. "Within organizations, customer satisfaction ratings can have powerful effects. They focus employees on the importance of fulfilling customers’ expectations. Furthermore, when these ratings dip, they warn of problems that can affect sales and profitability. . . . These metrics quantify an important dynamic. When a brand has loyal customers, it gains positive word-of-mouth marketing, which is both free and highly effective."

Customer Satisfaction Methodologies

American Customer Satisfaction Index (ACSI) is a scientific standard of customer satisfaction. Academic research has shown that the national ACSI score is a strong predictor of Gross Domestic Product (GDP) growth, and an even stronger predictor of Personal Consumption Expenditure (PCE) growth. On the microeconomic level, academic studies have shown that ACSI data is related to a firm's financial performance in terms of return on investment (ROI), sales, long-term firm value (Tobin's q), cash flow, cash flow volatility, human capital performance, portfolio returns, debt financing, risk, and consumer spending. Increasing ACSI scores have been shown to predict loyalty, word-of-mouth recommendations, and purchase behavior. The ACSI measures customer satisfaction annually for more than 200 companies in 43 industries and 10 economic sectors. In addition to quarterly reports, the ACSI methodology can be applied to private sector companies and government agencies in order to improve loyalty and purchase intent.

The Kano Model is a theory of product development and customer satisfaction developed in the 1980s by Professor Noriaki Kano that classifies customer preferences into five categories: Attractive, One-Dimensional, Must-Be, Indifferent, Reverse. The Kano model offers some insight into the product attributes which are perceived to be important to customers.

SERVQUAL or RATER is a service-quality framework that has been incorporated into customer-satisfaction surveys (e.g., the revised Norwegian Customer Satisfaction Barometer) to indicate the gap between customer expectations and experience.

J.D. Power and Associates provides another measure of customer satisfaction, known for its top-box approach and automotive industry rankings. J.D. Power and Associates' marketing research consists primarily of consumer surveys and is publicly known for the value of its product awards.

Other research and consulting firms have customer satisfaction solutions as well. These include A.T. Kearney's Customer Satisfaction Audit process, which incorporates the Stages of Excellence framework and which helps define a company’s status against eight critically identified dimensions.

The Net Promoter Score (NPS) is also used to measure customer satisfaction. On a scale of 0 to 10, this score measures the willingness of customers to recommend a company to others. Despite many points of criticism from a scientific point of view, the NPS is widely used in practice. Its popularity and broad use have been attributed to its simplicity and its openly available methodology.

For B2B customer satisfaction surveys, where there is a small customer base, a high response rate to the survey is desirable. The American Customer Satisfaction Index (2012) found that response rates for paper-based surveys were around 10% and the response rates for e-surveys (web, wap and e-mail) were averaging between 5% and 15% - which can only provide a straw poll of the customers' opinions.

In the European Union member states, manymethods for measuring impact and satisfaction of e-government services are in use, which the eGovMoNet project sought to compare and harmonize.

These customer satisfaction methodologies have not been independently audited by the Marketing Accountability Standards Board (MASB) according to MMAP (Marketing Metric Audit Protocol).

There are many operational strategies for improving customer satisfaction but at the most fundamental level you need to understand customer expectations. Recently there has been a growing interest in predicting customer satisfaction using [[Big Data|big data] and machine learning methods (with behavioral and demographic features as predictors) to take targeted preventive actions aimed at avoiding churn, complaints and dissatisfaction.

See Also

• IT Strategy (Information Technology Strategy)
• IT Governance
• E-Business
• Enterprise Architecture
• IT Sourcing (Information Technology Sourcing)
• IT Operations (Information Technology Operations)
• Chief Information Officer (CIO)