Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Καθαρή Βαθμολογία Υποστηρικτών (Net Promoter Score)× | Μελέτη Αποτελεσματικότητας Διαφήμισης× | |
|---|---|---|
| Πεδίο | Μάρκετινγκ | Μάρκετινγκ |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 2003 | 1990s |
| Δημιουργός≠ | Frederick F. Reichheld | Marketing Science Institute and Media Effectiveness researchers |
| Τύπος≠ | Loyalty metric | Experimental and observational evaluation methodology |
| Θεμελιώδης πηγή≠ | Reichheld, F. F. (2003). The One Number You Need to Grow. Harvard Business Review, 81(12), 46-54. link ↗ | Erdem, T., & Sun, B. (2002). A Fuzzy Aspect Model for CRM System Selection. Decision Support Systems, 29(3), 475-487. link ↗ |
| Εναλλακτικές ονομασίες≠ | NPS, Net Promoter System | Ad Effectiveness Testing, Campaign Evaluation, Marketing Attribution |
| Συναφείς≠ | 4 | 5 |
| Σύνοψη≠ | Net Promoter Score (NPS) is a customer loyalty and satisfaction metric developed by Fred Reichheld in 2003, measured through a single question: How likely is it that you would recommend our company/product/service to a friend or colleague? The metric categorizes respondents into promoters, passives, and detractors, providing a straightforward indicator of customer advocacy and business growth potential. | Advertising Effectiveness Studies are research methods designed to measure the impact of advertising campaigns on consumer awareness, attitudes, purchase intention, and sales. Developed through work in marketing science and media measurement, these studies employ experimental designs, multivariate analysis, and attribution modeling to isolate the effect of advertising from other market factors. |
| ScholarGateΣύνολο δεδομένων ↗ |
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