Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Mārketinga miks modelēšana× | Pētījumi par reklāmas efektivitāti× | |
|---|---|---|
| Nozare | Mārketings | Mārketings |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2001 | 1990s |
| Autors≠ | David Hanssens, Leonard Parsons, and Randall Schultz | Marketing Science Institute and Media Effectiveness researchers |
| Tips≠ | Econometric modeling methodology | Experimental and observational evaluation 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 | Erdem, T., & Sun, B. (2002). A Fuzzy Aspect Model for CRM System Selection. Decision Support Systems, 29(3), 475-487. link ↗ |
| Citi nosaukumi | MMM, Econometric Modeling, Attribution Modeling | Ad Effectiveness Testing, Campaign Evaluation, Marketing Attribution |
| 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. | 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. |
| ScholarGateDatu kopa ↗ |
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