The use of Net Promoter Score (NPS) to predict sales growth : insights from an empirical investigation
Autor: | Michele O'Dwyer, Sven Baehre, Lisa O'Malley, Nick Lee |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
Marketing
Economics and Econometrics HF business.industry 05 social sciences Context (language use) Mindset Marketing strategy Popularity Loyalty business model Net Promoter 0502 economics and business HD28 050211 marketing Metric (unit) Business and International Management business Database transaction 050203 business & management |
ISSN: | 0092-0703 |
Popis: | Net Promoter Score (NPS) has been widely adopted by managers as a measure of customer mindset and predictor of sales growth. Over time, practitioners have evolved the use of NPS from its original purpose as a transaction-based customer loyalty metric, towards a metric for tracking overall brand health which includes responses from non-customers. Despite enduring managerial popularity, academics remain skeptical of NPS, citing methodological issues and ongoing concerns with NPS measurement. This study re-visits the use of NPS as a predictor of sales growth by analyzing data from seven brands operating in the U.S. sportswear industry, measured over five years. Our results confirm—within the context of our study—that while the original premise of NPS is reasonable, the methodological concerns raised by academics are valid, and only the more recently developed brand health measure of NPS (using an all potential customer sample) is effective at predicting future sales growth. |
Databáze: | OpenAIRE |
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