Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Mārketinga miks modelēšana× | Tirgus segmentācijas analīze× | |
|---|---|---|
| Nozare | Mārketings | Mārketings |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2001 | 1980 |
| Autors≠ | David Hanssens, Leonard Parsons, and Randall Schultz | Philip Kotler and William Perreault Jr. |
| Tips≠ | Econometric modeling methodology | Statistical segmentation methodology |
| Pirmavots≠ | Hanssens, D. M., Parsons, L. J., & Schultz, R. L. (2001). Market Response Models: Econometric and Time Series Analyses (2nd ed.). Kluwer Academic Publishers. ISBN: 978-0792372158 | Wedel, M., & Kamakura, W. A. (2002). Introduction to the Special Issue on Market Segmentation. International Journal of Research in Marketing, 19(3), 181-183. DOI ↗ |
| Citi nosaukumi≠ | MMM, Econometric Modeling, Attribution Modeling | Customer Segmentation, Market Partitioning |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | Marketing Mix Modeling (MMM) is an econometric methodology for estimating the impact of various marketing activities (advertising, pricing, promotions, distribution) on sales or other business outcomes. Developed through work by Hanssens, Parsons, and Schultz, MMM integrates time-series data on marketing spend, sales, and market factors to quantify the return on investment for each marketing channel and inform budget allocation decisions. | Market Segmentation Analysis is a systematic approach to dividing a heterogeneous market into smaller, homogeneous groups (segments) that share similar needs, behaviors, preferences, or characteristics. Developed through advances in statistical clustering and customer analytics, this methodology enables companies to tailor marketing strategies, product offerings, and customer experiences to specific audience groups rather than treating the market as a single entity. |
| ScholarGateDatu kopa ↗ |
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