{"title":"Statistics in marketing research: A brief review on special methods and applications","authors":"S. Lipovetsky","doi":"10.3233/mas-229951","DOIUrl":null,"url":null,"abstract":"The work considers statistical techniques developed for solving various special marketing research problems. These approaches include items comparisons in Thurstone and Bradley-Terry scaling, total unduplicated reach and frequency and Shapley value, sample balancing and price sensitivity analysis, customer satisfaction and identification of key drivers, best-worst and max-diff priority estimation, items cannibalization and synergy, and different other methods. The described techniques have been developed and employed in multiple marketing research projects, and they are helpful for successful solving various practical problems.","PeriodicalId":35000,"journal":{"name":"Model Assisted Statistics and Applications","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Model Assisted Statistics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/mas-229951","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 2
Abstract
The work considers statistical techniques developed for solving various special marketing research problems. These approaches include items comparisons in Thurstone and Bradley-Terry scaling, total unduplicated reach and frequency and Shapley value, sample balancing and price sensitivity analysis, customer satisfaction and identification of key drivers, best-worst and max-diff priority estimation, items cannibalization and synergy, and different other methods. The described techniques have been developed and employed in multiple marketing research projects, and they are helpful for successful solving various practical problems.
期刊介绍:
Model Assisted Statistics and Applications is a peer reviewed international journal. Model Assisted Statistics means an improvement of inference and analysis by use of correlated information, or an underlying theoretical or design model. This might be the design, adjustment, estimation, or analytical phase of statistical project. This information may be survey generated or coming from an independent source. Original papers in the field of sampling theory, econometrics, time-series, design of experiments, and multivariate analysis will be preferred. Papers of both applied and theoretical topics are acceptable.