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In most cases, the results of qualitative studies are based upon dozens of interviews. Qualitative studies are not designed to provide insights that are projectable to the customer population: qualitative studies are used for initial exploration of experiences and topics or to probe more deeply the reasons behind customer perceptions.
Qualitative research is used in both consumer research and business-to-business (B2B) research. However, qualitative research methods are used depending on whether consumers or business decision-makers are being inter-viewed. In consumer research, a range of qualitative methods are used, particularly in-depth interviews, focus groups and ...
The SPC model has become the basis of a large body of empirical research showing the strong impact of customer satisfaction on customer loyalty. Research has clearly shown that one of the best ways to increase customer loyalty—measured as repurchase intentions and/or repurchase behavior—is by increasing customer satisfaction (more satisfied ...
While the net promoter score has gained popularity among business executives and is considered a widely used instrument for measuring customer loyalty in practice, it has also generated controversy in academic and market research circles. [2] Scholarly critique has questioned whether the NPS is at all a reliable predictor of company growth. [16]
A consumer-brand relationship, also known as a brand relationship, is the relationship that consumers think, feel, and have with a product or company brand. [1] For more than half a century, scholarship has been generated to help managers and stakeholders understand how to drive favorable brand attitudes, brand loyalty, repeat purchases, customer lifetime value, customer advocacy, and ...
Marketing research is the systematic gathering, recording, and analysis of qualitative and quantitative data about issues relating to marketing products and services. The goal is to identify and assess how changing elements of the marketing mix impacts customer behavior.
Marketing mix modeling (MMM) is an analytical approach that uses historic information to quantify impact of marketing activities on sales. Example information that can be used are syndicated point-of-sale data (aggregated collection of product retail sales activity across a chosen set of parameters, like category of product or geographic market) and companies’ internal data.
Meyer and Allen's (1991) three-component model of commitment was created to argue that commitment has three different components that correspond with different psychological states. Meyer and Allen created this model for two reasons: first "aid in the interpretation of existing research" and second "to serve as a framework for future research". [1]