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Littérature scientifique sur le sujet « Target marketing – Econometric models »

Auteur : Grafiati

Publié le 10 mars 2023

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Target marketing – Econometric models"

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Hwang, Seongbeom, and Yuna Lee. "Identifying customer priority for new products in target marketing: Using RFM model and TextRank." Innovative Marketing 17, no. 2 (2021): 125–36. http://dx.doi.org/10.21511/im.17(2).2021.12.

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Target marketing is a key strategy used to increase the revenue. Among many methods that identify prospective customers, the recency, frequency, monetary value (RFM) model is considered the most accurate. However, no RFM study has focused on prospects for new product launches. This study addresses this gap by using website access data to identify prospects for new products, thereby extending RFM models to include website-specific weights. An RF model, built using frequency and recency information from website access data of customers, and an RwF model, built by adding website weights to freque

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Bumbaca, Federico (Rico), Sanjog Misra, and Peter E. Rossi. "Scalable Target Marketing: Distributed Markov Chain Monte Carlo for Bayesian Hierarchical Models." Journal of Marketing Research 57, no. 6 (2020): 999–1018. http://dx.doi.org/10.1177/0022243720952410.

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Many problems in marketing and economics require firms to make targeted consumer-specific decisions, but current estimation methods are not designed to scale to the size of modern data sets. In this article, the authors propose a new algorithm to close that gap. They develop a distributed Markov chain Monte Carlo (MCMC) algorithm for estimating Bayesian hierarchical models when the number of consumers is very large and the objects of interest are the consumer-level parameters. The two-stage and embarrassingly parallel algorithm is asymptotically unbiased in the number of consumers, retains the

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Sedov, Roman. "Data metrics in modern digital marketing." JOURNAL OF REGIONAL AND INTERNATIONAL COMPETITIVENESS 6, no. 1 (2025): 21–30. https://doi.org/10.52957/2782-1927-2025-6-1-21-30.

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The article defines the stages of digital marketing and highlights modern metrics for choosing data analysis tools. Currently, mobile Internet accounts for 80% of the total Internet traffic in the Russian Federation. The research emphasises the components of effective media planning, including return on investments, target audience, increasing brand awareness, and costs optimising. According to the statistics, there are different approaches to increasing sales of new trademarks (brands) via the mobile Internet. The research considers the issues of calculating the market share of a trading comp

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Šoltés, Erik, Janka Táborecká-Petrovičová, and Romana Šipoldová. "Targeting of Online Advertising Using Logistic Regression." E+M Ekonomie a Management 23, no. 4 (2020): 197–214. http://dx.doi.org/10.15240/tul/001/2020-4-013.

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Recently, the internet became the dominant medium in marketing and comparing the development of expenditures into advertising indicates the dominance of online advertising will be inevitably stronger. Internet advertising compared to traditional media advertising has plenty of advantages hence online marketing exhibits a huge expansion in recent era. To fully utilize the potential of online marketing, it is necessary to effectively target activities of relevant internet users with the real presumption they will purchase promoted products or services. The paper is focused on demographic targeti

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Trung, Tran Quang, Do Quang Giam, Vu Thi Hai, et al. "Factors Influencing Milk Consumption of Rural Households in Northern Vietnam." Greener Journal of Business and Management Studies 4, no. 2 (2014): 31–40. https://doi.org/10.15580/gjbms.2014.2.031714148.

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The aims of this research were to identify the factors affecting milk consumption of rural households. As well as to determine the effects of these factors on the rural household’s intention to consume milk. A random sample of 514 rural households in northern Vietnam was selected to collect data on their milk consumption. Methodologically, statistical analysis was used to identify the preferences of rural households in purchasing dairy products and the two-step econometric technique was applied to measure the effects of the socio-economic and demographic factors and characteristics of mi

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Azmi, Nor Jijidiana, Radzuwan Rashid, Bahtiar Mohamad, Mairas Abd Rahman, and Zulkarnian Ahmad. "Student Athletes’ Perception of Female Models in Sports Advertisements." Asian Social Science 13, no. 10 (2017): 120. http://dx.doi.org/10.5539/ass.v13n10p120.

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Women in advertisements are no longer portrayed as having traditional roles. Instead, they are portrayed as dominant and powerful. This new marketing strategy is hoped to be more persuasive in reaching the target audience, especially the female buyers, thus increasing the sales in the market. This qualitative research aims to explore student-athletes’ views on the portrayal of female models in sports advertisements. A focus group interview involving three female student-athletes was conducted. A total of 20 advertisements, which portray female models, from five leading sports brands were used

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Ascarza, Eva. "Retention Futility: Targeting High-Risk Customers Might be Ineffective." Journal of Marketing Research 55, no. 1 (2018): 80–98. http://dx.doi.org/10.1509/jmr.16.0163.

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Companies in a variety of sectors are increasingly managing customer churn proactively, generally by detecting customers at the highest risk of churning and targeting retention efforts towards them. While there is a vast literature on developing churn prediction models that identify customers at the highest risk of churning, no research has investigated whether it is indeed optimal to target those individuals. Combining two field experiments with machine learning techniques, the author demonstrates that customers identified as having the highest risk of churning are not necessarily the best ta

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Wittink, Dick R. "Econometric Models for Marketing Decisions." Journal of Marketing Research 42, no. 1 (2005): 1–3. http://dx.doi.org/10.1509/jmkr.42.1.1.56893.

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Pachali, Max J., Peter Kurz, and Thomas Otter. "How to generalize from a hierarchical model?" Quantitative Marketing and Economics 18, no. 4 (2020): 343–80. http://dx.doi.org/10.1007/s11129-020-09226-7.

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Abstract Models of consumer heterogeneity play a pivotal role in marketing and economics, specifically in random coefficient or mixed logit models for aggregate or individual data and in hierarchical Bayesian models of heterogeneity. In applications, the inferential target often pertains to a population beyond the sample of consumers providing the data. For example, optimal prices inferred from the model are expected to be optimal in the population and not just optimal in the observed, finite sample. The population model, random coefficients distribution, or heterogeneity distribution is the n

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Ochoa, Carlos, and Josep Miquel Porcar. "Modeling the effect of quota sampling on online fieldwork efficiency: An analysis of the connection between uncertainty and sample usage." International Journal of Market Research 60, no. 5 (2018): 484–501. http://dx.doi.org/10.1177/1470785318779545.

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Market, Opinion and Social Research is increasingly relying on non-probabilistic online panels as data sources and quota sampling as the default sampling method. Quota sampling applied to online panels requires discarding participants to ensure that the final sample match the target population distribution. This article analyzes how different features of a quota sample (such as the sample size, number, and types of quotas) impact the number of participants that must be discarded during the data collection (fieldwork efficiency). Both analytical models and simulation have been used for this pur

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Thèses sur le sujet "Target marketing – Econometric models"

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Fok, Dennis. "Advanced econometric marketing models = Geavanceerde econometrische marketing modellen /." Rotterdam : Erasmus Research Institute of Management, 2003. http://aleph.unisg.ch/hsgscan/hm00084593.pdf.

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Sundali, James Arnold. "An experimental investigation of market entry problems." Diss., The University of Arizona, 1995. http://hdl.handle.net/10150/187079.

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This dissertation considers organizational problems of market entry. The research follows the experimental path. Game theoretic models are combined with laboratory experiments to produce a set of empirical findings. Two market entry problems are studied. The first considers the chain store paradox developed by Selten (1978). This game considers an established chain store with locations in numerous towns. In each of these towns a different competitor decides whether to enter and compete with the chain store. When entry occurs, the chain store can respond cooperatively or aggressively. The game

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Li, Ke 1969. "A general equilibrium analysis of the division of labour : violation and enforcement of property rights, impersonal networking decisions and bundling sale." Monash University, School of Asian Languages and Studies, 2001. http://arrow.monash.edu.au/hdl/1959.1/9256.

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Negassa, Asfaw. "The effects of deregulation on the efficiency of agricultural marketing in Ethiopia : case study from Bako area." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=23926.

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The effects of the March 1990 deregulation policy on the marketing of agricultural products are examined in terms of price levels, price variability and market integration for maize, tef, noug and sorghum for the Bako, Tibe and Shoboka markets of the Wollega and Shoa regions of Ethiopia. Weekly price data from 1986 to 1993 are used. The price level and price variability changes are tested using a T-test and F-test respectively while market integration is tested using traditional price correlation analysis and Granger's and Johansen's methods of cointegration analysis. Deregulation has resulted

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Andriamanjay, Eric. "An econometric analysis of the consumer demand for dairy products in Canada 1968-1982 /." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61840.

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Kressner, Josephine D. "Leveraging targeted marketing data in travel demand modeling: validation and applications." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51870.

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To date, the collection of comprehensive household travel data has been a challenge for most metropolitan planning organizations (MPOs) and state departments of transportation (DOTs) due mainly to high costs. Urban population growth, the expansion of metropolitan regions, and the general unwillingness of the public to complete surveys conflict with limited public funds. The purpose of this research is to leverage targeted marketing data, sometimes referred to as consumer data or just simply marketing data, for travel demand modeling applications. This research reveals a first step in exploring

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Sanchez, Juan Machado. "Effect of price and in-store promotion on sales: a study of distinct regions in an emerging market." reponame:Repositório Institucional do FGV, 2016. http://hdl.handle.net/10438/16571.

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Submitted by Juan Sanchez (juan_msanchez@msn.com) on 2016-06-06T13:44:26Z No. of bitstreams: 1 marketing-sanchez-projeto VF 6.pdf: 1259869 bytes, checksum: e6fdb1cce68a5d409ee6ccd47f4f1771 (MD5)<br>Approved for entry into archive by Ana Luiza Holme (ana.holme@fgv.br) on 2016-06-06T13:46:44Z (GMT) No. of bitstreams: 1 marketing-sanchez-projeto VF 6.pdf: 1259869 bytes, checksum: e6fdb1cce68a5d409ee6ccd47f4f1771 (MD5)<br>Made available in DSpace on 2016-06-06T15:11:27Z (GMT). No. of bitstreams: 1 marketing-sanchez-projeto VF 6.pdf: 1259869 bytes, checksum: e6fdb1cce68a5d409ee6ccd47f4f1771 (M

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Simanavičius, Nerijus. "Alternatyvios energijos plėtros efektyvumo didinimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2009. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2009~D_20090703_115849-06913.

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Šio darbo tikslas – išnagrinėti veiksnius, darančius įtaką alternatyvios energetikos plėtros efektyvumui Lietuvoje ir sukurti modelį šiai problemai spręsti, remiantis atliktais ekonometriniais ir realaus projekto skaičiavimais. Pagrindinės sprendžiamos problemos yra susijusios su silpnais bendradarbiavimo ryšiais tarp politikos, verslo ir mokslo sričių. Neefektyvus finansavimas energetinių projektų, neracionalus piliečių motyvavimas dėl alternatyvios energijos (AE) privalumų ir ilgas atsipirkimo laikas, suteikia neekonomiško verslo „šešėlį“. Viena iš svarbiausių darbo dalių yra realaus energet

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Meyer, Ferdinand. "Model closure and price formation under switching grain market regimes in South Africa." Thesis, Pretoria : [s.n.], 2006. http://upetd.up.ac.za/thesis/available/etd-12082006-105715.

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Thesis (D.Phil.(Agricultural Economics, Extension, and Rural Development))--University of Pretoria, 2006.<br>Includes summary. Includes bibliographical references. Available on the Internet via the World Wide Web.

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Verikios, George. "Understanding the world wool market : trade, productivity and grower incomes." University of Western Australia. School of Economics and Commerce, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0064.

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[Truncated abstract] The core objective of this thesis is summarised by its title: “Understanding the World Wool Market: Trade, Productivity and Grower Incomes”. Thus, we wish to aid understanding of the economic mechanisms by which the world wool market operates. In doing so, we analyse two issues trade and productivity and their effect on, inter alia, grower incomes. To achieve the objective, we develop a novel analytical framework, or model. The model combines two long and rich modelling traditions: the partial-equilibrium commodity-specific approach and the computable-general-equilibrium

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Livres sur le sujet "Target marketing – Econometric models"

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1963-, Franses Philip Hans, and Montgomery A, eds. Econometric models in marketing. JAI, 2002.

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Fok, Dennis. Advanced econometric marketing models =: Geavanceerde econometrische marketing modellen. Erasmus Research Institute of Management, 2003.

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Kuttner, Kenneth N. Can central banks target bond prices? National Bureau of Economic Research, 2006.

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Bernanke, Ben. What does the Bundesbank target? National Bureau of Economic Research, 1996.

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Steckel, Joel H. Cross-validating regression models in marketing research. INSEAD, 1990.

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Samwick, Andrew. Tax reform and target saving. National Bureau of Economic Research, 1998.

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Klein, Michael W. Learning about intervention target zones. National Bureau of Economic Research, 1991.

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Baumes, Harry S. An econometric model of the U.S. apple market. U.S. Dept. of Agriculture, Economic Research Service, National Economics Division, 1985.

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Leigh, Daniel. Estimating the implicit inflation target: An application to U.S. monetary policy. International Monetary Fund, European Dept., 2005.

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Weber, Alan. Data-driven business models. Thomson, 2005.

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Chapitres de livres sur le sujet "Target marketing – Econometric models"

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Mulders, Marijn. "Target marketing." In 101 Management Models. Routledge, 2019. http://dx.doi.org/10.4324/9781003022022-96.

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Hanssens, Dominique M., and Marnik G. Dekimpe. "Econometric Models." In The History of Marketing Science, 2nd ed. WORLD SCIENTIFIC, 2023. http://dx.doi.org/10.1142/9789811272233_0005.

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Hanssens, Dominique M. "Econometric Models." In The History of Marketing Science. World Scientific, 2014. http://dx.doi.org/10.1142/9789814596480_0005.

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Ion, Raluca Andreea. "Green Agricultural Marketing." In Green Economic Structures in Modern Business and Society. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8219-1.ch013.

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This chapter presents the key elements of green agricultural marketing, referring to distribution and promotion. Similarities and discrepancies of conventional and green marketing of agricultural products are identified, using comparative analysis. Models of sustainable distribution and promotions are designed. The results and discussions reveal that green products, distribution and promotion meet both ecological principles (referring to environment), and economic ones (reduced costs). Green agricultural marketing is ethical, beneficial and safe for individuals and target groups.

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"Estimation of Discrete-Game Models." In Structural Econometric Modeling in Industrial Organization and Quantitative Marketing. Princeton University Press, 2023. http://dx.doi.org/10.2307/jj.5425946.7.

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"4 Estimation of Discrete-Game Models." In Structural Econometric Modeling in Industrial Organization and Quantitative Marketing. Princeton University Press, 2023. http://dx.doi.org/10.1515/9780691251004-005.

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Potharst, Rob, Uzay Kaymak, and Wim Pijls. "Neural Networks for Target Selection in Direct Marketing." In Neural Networks in Business. IGI Global, 2002. http://dx.doi.org/10.4018/978-1-930708-31-0.ch006.

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The outline of the chapter is as follows. The section on direct marketing explains briefly what it is and discusses the target selection problem in direct marketing. Target selection for a charity organization is also explained. The next section discusses how neural networks can be used for building target selection models that a charity organization can use. The section on data preparation considers how the actual data for training the neural networks is obtained from the organization’s database. The actual model building steps are explained in the following section. The results of the neural

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Abdul-Talib, Asmat Nizam, and Sana Arshad. "Searching the Effects of Viral Marketing via Customer-Based Brand Equity on Purchase Intentions." In Research Anthology on Social Media Advertising and Building Consumer Relationships. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-6287-4.ch020.

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The internet has presented marketers with diverse methods to interact with their target market, and viral marketing is one of those low-cost methods. The purpose of this study is to explore how viral marketing impacts purchase intentions through customer-based brand equity (CBBE) on the basis of models proposed by Aaker and Keller. Social media is one of the essential indicators that influence customers to purchase intensions. However, brand loyalty, one of the important components of CBBE, is studied in terms of customers' purchase intentions. This study focuses on identifying the role of vir

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Abdul-Talib, Asmat Nizam, and Sana Arshad. "Searching the Effects of Viral Marketing via Customer-Based Brand Equity on Purchase Intentions." In Handbook of Research on Technology Applications for Effective Customer Engagement. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4772-4.ch005.

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The internet has presented marketers with diverse methods to interact with their target market, and viral marketing is one of those low-cost methods. The purpose of this study is to explore how viral marketing impacts purchase intentions through customer-based brand equity (CBBE) on the basis of models proposed by Aaker and Keller. Social media is one of the essential indicators that influence customers to purchase intensions. However, brand loyalty, one of the important components of CBBE, is studied in terms of customers' purchase intentions. This study focuses on identifying the role of vir

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Wróblewski, Łukasz, and Marcin Lis. "Marketing Strategies of Cultural Institutions in a City Divided by a Border." In Cross-Border Cooperation (CBC) Strategies for Sustainable Development. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2513-5.ch009.

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In the 21st Century, it is possible to observe a pattern of numerous changes in the sphere of functioning of the cultural institutions also in cities divided by a border. These trends include globalization of culture, development of cultural industries and creative industries, rapid technical and technological growth, occurrence of new cultural management concepts and marketing strategies. Therefore, this chapter presents models of marketing strategies that can be applied in cities divided by a border. Based on individual interviews with 40 experts, four model marketing strategies are proposed

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Actes de conférences sur le sujet "Target marketing – Econometric models"

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Gribanova, E. B., I. V. Shirenkov, and A. V. Katasonova. "Econometric models for evaluation of marketing activities` indicators of social network." In International Conference on Trends of Technologies and Innovations in Economic and Social Studies 2017. Atlantis Press, 2017. http://dx.doi.org/10.2991/ttiess-17.2017.39.

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Shih, J. Y., W. H. Chen, and Y. J. Chang. "Developing target marketing models for personal loans." In 2014 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2014. http://dx.doi.org/10.1109/ieem.2014.7058858.

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Eljazović, Maida, Amel Kosovc, and Elma Avdagić-Golub. "Comparative Analysis of Digital and Traditional Ma." In BASIC TECHNOLOGIES AND MODELS FOR IMPLEMENTATION OF INDUSTRY 4.0. Academy of Sciences and Arts of Bosnia and Herzegovina, 2023. http://dx.doi.org/10.5644/pi2023.209.13.

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With modern technological progress and scientific achievements, companies are actively adjusting their business strategies in order to take advantage of new business opportunities and achieve maximum profit for their companies. One of the current changes in the field of marketing is the increasing emphasis on digital marketing. Digital channels, such as social networks, mobile applications and online advertising, are becoming essential tools for communication and engagement with target audiences. Mobile applications, m-commerce and other innovations allow consumers to easily buy products and a

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Xonturayev, Bobur, Bekdavlat Aliev, Shoh Jakhon Khamdamov, et al. "Evaluation and Forecasting of the Use of Digital Marketing Strategies in the Banking Field Based on Econometric Models." In ICFNDS '24: The 8th International Conference on Future Networks & Distributed Systems. ACM, 2024. https://doi.org/10.1145/3726122.3726134.

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Al-Assaf, Dr Ghazi. "Understanding the Nexus Between Oil Price Volatility and Trade Balance in GCC Countries: A Comparative Investigation of Linear and Nonlinear ARDL Models." In 5th World Conference on Business, Management, Finance, Economics, and Marketing. Eurasia Conferences, 2024. http://dx.doi.org/10.62422/978-81-968539-6-9-019.

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The GCC countries, being rich in oil deposits, have always experienced volatility in the price of oil, and the consequences are predominantly in the form of the trade balance proportions. This research work attempts to unravel the complex interplay of oil price volatility and trade balance in GCC countries through the use of comparative analysis of Linear Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL models. This research uses annual time-series data covering the period 1989-2021, which includes the major GCC economies of Saudi Arabia, the United Arab Emirates, Qatar, Kuwait, Bahrai

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Kurbonov, Khayrilla, Samariddin Makhmudov, Shakhzod Erkinov, et al. "Evaluating the Impact of Marketing Practices Digitalization and Investment on Labor Market Efficiency and Commercial Bank Performance Using Econometric Models." In ICFNDS '24: The 8th International Conference on Future Networks & Distributed Systems. ACM, 2024. https://doi.org/10.1145/3726122.3726237.

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Abubakirova, M. I. "DEVELOPMENT OF THE LIBRARY NETWORK RESOURCES IN THE CONDITIONS OF DIGITAL TRANSFORMATION (MARKETING APPROACH)." In Dynamics of library and information support for education, science and culture. Omsk State Technical University, 2022. http://dx.doi.org/10.25206/978-5-8149-3568-7-2022-6-16.

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In the context of the digital transformation of universities, the development of network resources comes to the fore in the strategic development of the university library. One of the most productive approaches to building a strategy is a marketing approach tied to five main categories:ДИНАМИКА БИБЛИОТЕЧНО-ИНФОРМАЦИОННОГО ОБЕСПЕЧЕНИЯ ОБРАЗОВАНИЯ, НАУКИ И КУЛЬТУРЫМатериалы II Всероссийской научно-практической конференцииCustomers, Competition, Data, Innovation, Values. Social networks have specific features and advantages over other types of resources for their use in solving educational and re

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Xie, Fuyi, and Zihao Luo. "An Analysis and Research of Growth Factors of Internet Celebrity Boba Milk Tea Stores using Machine Learning and Artificial Intelligence." In 13th International Conference on Artificial Intelligence, Soft Computing and Applications. Academy & Industry Research Collaboration Center, 2023. http://dx.doi.org/10.5121/csit.2023.132214.

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The boba milk tea industry has emerged as a dynamic and competitive sector within the broader landscape of the food and beverage industry [1]. Characterized by its unique combination of tea, milk, and chewy tapioca pearls, boba milk tea has garnered a dedicated following of enthusiasts. To secure and expand their presence in this market, boba milk tea stores aspire to achieve the status of internet celebrities, attracting a widespread and loyal customer base [2]. This research paper delves into the intricate realm of boba milk tea store growth factors using Machine Learning and Artificial Inte

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Zacharias, Nicolas A., and Ali A. Yassine. "Platform Investment Decisions in Product Family Design." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35915.

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The paper proposes an intermediate modeling ground that bridges the gap between engineering design models and marketing models for the development of platform-based product families. In this model, each variant in the product family is assumed to contribute a percentage to the overall market coverage inside a target market segment and we wish to maximize this coverage subject to an available development budget. Following the conceptual engineering design phase of the product family, this model will optimize the initial investment in the platform, the commonality level between variants, and the

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Gudipudi, Rakesh, Sandra Nguyen, Doina Bein, and Sudarshan Kurwadkar. "Improving Internet Advertising Using Click – Through Rate Prediction." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003772.

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Résumé :

Online advertising is a billion-dollar industry, with many companies choosing online websites and various social media platforms to promote their products. The primary concerns in online marketing are to optimize the performance of a digital advert, reach the right audience, and maximize revenue, which can be achieved by predicting the accurate probability of a given ad being clicked, called the Click-Through Rate. It is assumed that a high CTR depicts the ad reaching its target customers while a low CTR shows that it is not reaching its desired audience, which may constitute a low return on i

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