Academic literature on the topic 'Target marketing – Econometric models'
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Journal articles on the topic "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 (June 11, 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 frequency of access, were developed. A TextRank algorithm was used to analyze weights for each website based on the access frequency, thus defining the weights in the RwF model. South Korean mobile users’ website access data between May 1 and July 31, 2020 were used to validate the models. Through a significant lift curve, the results indicate that the models are highly effective in prioritizing customers for target marketing of new products. In particular, the RwF model, reflecting website-specific weights, showed a customer response rate of more than 30% among the top 10% customers. The findings extend the RFM literature beyond purchase history and enable practitioners to find target customers without a purchase history.
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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 (October 1, 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 flexibility of a standard MCMC algorithm, and is easy to implement. The authors show that the distributed MCMC algorithm is faster and more efficient than a single-machine algorithm by at least an order of magnitude. They illustrate the approach with simulations with up to 100 million consumers, and with data on 1,088,310 donors to a charitable organization. The algorithm enables an increase of between $1.6 million and $4.6 million in additional donations when applied to a large modern-size data set compared with a typical-size data set.
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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 (December 1, 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 targeting by the mean of logistic regression models. Explanatory variables in presented application are arising from affinities of internet webpages visited by particular users and areas of their interests that are identified from their online behaviour. Our paper provides binomial logistic mode whose role is to predict the gender of internet user and multinomial logistic model constructed for the estimation of age category the user may be assigned to. The only variables exploited in the model by the mean of stepwise regression are variables with significant influence. The impact of particular factors is quantified via odds ratios that are used for the identification of areas of interests typical for women, men and for considered age categories. The paper demonstrates how it is possible to utilise estimated logistic models for the estimation of probabilities that the internet user is from a target group – in our case, women aged 25–44 years old. Prediction quality of models is assessed by the set of classification measures arising from confusion matrix that is generally acceptable in machine learning. Presented analyses are conducted in statistical software SAS Enterprise Guide on data provided from the real advertising campaign. More than 160,000 statistical units enabled the confirm results gained on training dataset of a relatively huge validation dataset.
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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 (September 27, 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 as stimuli for the focus group. The findings reveal that the participants have different perceptions towards the body image and athletic values of the advertisements, despite having the same background as a student athlete. Sexual appeal, the portrayal of healthy and positive body image, and strong athletic ability are among the functions of the female models in the advertisements, as perceived by the participants.
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Ascarza, Eva. "Retention Futility: Targeting High-Risk Customers Might be Ineffective." Journal of Marketing Research 55, no. 1 (February 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 targets for proactive churn programs. This finding is not only contrary to common wisdom but also suggests that retention programs are sometimes futile not because firms offer the wrong incentives but because they do not apply the right targeting rules. Accordingly, firms should focus their modeling efforts on identifying the observed heterogeneity in response to the intervention and to target customers on the basis of their sensitivity to the intervention, regardless of their risk of churning. This approach is empirically demonstrated to be significantly more effective than the standard practice of targeting customers with the highest risk of churning. More broadly, the author encourages firms and researchers using randomized trials (or A/B tests) to look beyond the average effect of interventions and leverage the observed heterogeneity in customers' response to select customer targets.
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Wittink, Dick R. "Econometric Models for Marketing Decisions." Journal of Marketing Research 42, no. 1 (February 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 (May 17, 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 natural and correct basis for generalizations from the observed sample to the market. However, in many if not most applications standard heterogeneity models such as the multivariate normal, or its finite mixture generalization lack economic rationality because they support regions of the parameter space that contradict basic economic arguments. For example, such population distributions support positive price coefficients or preferences against fuel-efficiency in cars. Likely as a consequence, it is common practice in applied research to rely on the collection of individual level mean estimates of consumers as a representation of population preferences that often substantially reduce the support for parameters in violation of economic expectations. To overcome the choice between relying on a mis-specified heterogeneity distribution and the collection of individual level means that fail to measure heterogeneity consistently, we develop an approach that facilitates the formulation of more economically faithful heterogeneity distributions based on prior constraints. In the common situation where the heterogeneity distribution comprises both constrained and unconstrained coefficients (e.g., brand and price coefficients), the choice of subjective prior parameters is an unresolved challenge. As a solution to this problem, we propose a marginal-conditional decomposition that avoids the conflict between wanting to be more informative about constrained parameters and only weakly informative about unconstrained parameters. We show how to efficiently sample from the implied posterior and illustrate the merits of our prior as well as the drawbacks of relying on means of individual level preferences for decision-making in two illustrative case studies.
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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 (June 1, 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 purpose. Finally, we show how uncertainty about participants relates to fieldwork efficiency, providing practical recommendations in pursuing this goal.
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Ignatieva, E. V., I. V. Yartseva, Z. S. Shprakh, A. P. Kolpaksidi, M. V. Dmitrieva, A. V. Lantsova, L. L. Nikolaeva, and I. R. Prosalkova. "Quantitative determination of the N-glycoside derivative of substituted indolo[2,3a]carbazole in innovative dosage forms." Russian Journal of Biotherapy 21, no. 3 (October 31, 2022): 61–71. http://dx.doi.org/10.17650/1726-9784-2022-21-3-61-71.
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Background. A glycoside derivative of indolocarbazole LHS-1269, one of the new drugs selectively affecting tumors, which was first synthesized at the N.N. Blokhin National Medical-Research Center of Oncology of the Ministry of Health of Russia, is of particular scientific interest. Experimental studies demonstrated a multi-target mechanism of action of this compound. LHS-1269 interacts with several intracellular targets and induces various pathways of cell death. Several innovative models of the dosage forms were designed to achieve the highest antitumor activity of the compound and to perform further preclinical studies.Aim. To develop the methods for the quantitative determination of LHS-1269 in pharmaceutical compositions proposed as a result of the search for the optimal dosage form.Materials and methods. The study analyzed the spectrophotometric characteristics of LHS-1269 solutions in dimethylformamide, dimethylsulfoxide (DMSO) and in the mixture of solvents DMSO–ethyl alcohol, as well as electronic absorption spectra of the excipients in the mixture of solvents DMSO–ethyl alcohol. Spectrophotometric measurements were performed on a Cary 100 spectrophotometer (Varian, Inc., Australia) in the wavelength range from 200 to 500 nm. The standard sample is the substance LHS-1269 (N.N. Blokhin Oncology Research Center of the Ministry of Health of Russia).Results. The carried out studies showed that LHS-1269 solutions in dimethylformamide, DMSO and mixture of DMSO– ethyl alcohol are suitable for spectrophotometric measurements. Several variants of the methodology for the assay of LHS-1269 in various dosage form models that differ in the content of the active substance and the excipients composition have been developed: LHS-1269 concentrate for solution for injection and infusion; lyophilisate for solution for injection; liposomal lyophilisate for dispersion for injection.Conclusion. Techniques for the assay of LHS-1269 in dosage form models have been developed. It has been shown that the developed techniques are applicable for LHS-1269 quantitative determination in innovative dosage forms containing polymeric low molecular weightsolubilizers, lipids, cholesterol, mono- or oligosaccharides as excipients.
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Quaye, Emmanuel Silva, and Yvonne Saini. "Kaya FM: the challenge of an afropolitan positioning." Emerald Emerging Markets Case Studies 11, no. 2 (June 25, 2021): 1–35. http://dx.doi.org/10.1108/eemcs-06-2020-0182.
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Learning outcomes Amongst other things, at the end of this case discussion, the student should be able to: diagnose situational factors that contribute to a brand’s positioning; explore important issues in implementing brand positioning strategies; use relevant models for understanding a firm’s internal and external environments to inform strategic decisions about customers and competition; demonstrate an understanding of target audience; identify the unique attributes of the competition to inform a firm’s positioning and competitive strategy. Case overview/synopsis Kaya FM derives its name from the isiZulu word “ikhaya”, which means “home”. The name reflects the mission of the radio station to provide a home for black South Africans who were denied many opportunities during the apartheid era in South Africa. Kaya FM has been broadcasting since 1997, following the deregulation of the media landscape in South Africa. However, by 2018, the radio landscape has become very challenging. Mainstream advertisers still do not consider Kaya FM as a preferred channel to reach their target audience. Overall, radio listenership is dwindling and advertising sales growth is not encouraging. Greg Maloka, Kaya FM’s station manager is considering how to preserve the station’s unique positioning as it competes with both more dominant stations and new entrants so that Kaya FM can truly be a home for Afropolitans for many years to come. Complexity academic level Honour’s and master’s level, as well as executive education delegates. Supplementary materials Teaching Notes are available for educators only. Subject code CSS 8: Marketing.
Dissertations / Theses on the topic "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 proceeds sequentially, the players are not symmetric, and the critical solution concept is the subgame perfect equilibrium. Three experiments are conducted for a total of 550 trials of the game. Experiments differ in the size of payoffs, the number of entrants, the anonymity of the chain store, and whether subjects play in both the role of the chain store and an entrant or in just one role. There is qualified support for the game theoretic prediction that a chain store cannot deter the sequential entry of competitors. Entry occurred on 459 of 550 trials; while some chain stores pursue deterrence, it largely is not effective in these specific experimental environments. It is suggested that deterrence might be effective if the number of entrants or payoffs are increased. The results have implications for discussions on predatory pricing, reputation, and the value of backwards induction as a solution concept. The second market entry problem is based on a simultaneous market entry game developed by Rapoport (1994). In this game symmetric players decide simultaneously whether to enter a market with a specified capacity. The game theoretic prediction for the number of entrants is based on a Nash equilibrium (in pure or mixed strategies). Again, experimental results support game theoretic predictions. Across three experiments the correlation between the number of entrants and the size of the market capacity is consistently above 0.90. Taken together, these experiments on market entry problems provide strong support for the conceptual use of game theory and the methodological use of controlled laboratory experiments in the field of strategic management.
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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 in an increase in real prices which has also, in most cases, been accompanied by an increase in price variability. The price correlation and Granger methods indicate improvement in market integration under deregulation while Johansen's method indicates similar levels of market integration for both regulated and deregulated marketing systems. Increased price variability might thwart the perceived benefits of deregulation and further research is needed to identify its causes and to provide appropriate policy recommendations.
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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 the use of targeted marketing data for representing population characteristics of a region.
Four studies were completed: an aggregate validation, a household-level validation for hard-to-reach population groups, an airport passenger model, and a residential location choice model. The two validation studies of this work suggest that targeted marketing data are similar to U.S. Census data at small geographic levels for basic demographic and socioeconomic information. The studies also suggest that the existing coverage errors are at least similar, if not lower than, the levels of those in household travel surveys used today to build travel demand models. The two application studies of this work highlight the benefits of the targeted marketing data over traditional household travel surveys and U.S. Census data particularly well, including the additional behavioral information available at the household-level and the very large sample sizes.
These results suggest that the combination of targeted marketing data with other third-party and non-traditional data could be particularly powerful. It offers tremendous opportunities to enhance, or even transform, existing travel demand modeling systems and data collection practices. Inexpensive, up-to-date, and detailed data would allow researchers and decision-makers alike to better understand travel behavior and to be more equipped to make important transportation-related decisions that affect our lives each day.
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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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Increasing competition caused by globalization, high growth of some emerging markets and stagnation of developed economies motivate Consumer Packaged Goods (CPGs) manufacturers to drive their attention to emerging markets. These companies are expected to adapt their marketing activities to the particularities of these markets in order to succeed. In a country classified as emerging market, regions are not alike and some contrasts can be identified. In addition, divergences of marketing variables effect can also be observed in the different retail formats. The retail formats in emerging markets can be segregated in chain self-service and traditional full-service. Thus, understanding the effectiveness of marketing mix not only in country aggregated level data can be an important contribution. Inasmuch as companies aim to generate profits from emerging markets, price is an important marketing variable in the process of creating competitive advantage. Along with price, promotional variables such as in-store displays and price cut are often viewed as temporary incentives to increase short-term sales. Managers defend the usage of promotions as being the most reliable and fastest manner to increase sales and then short-term profits. However, some authors alert about sales promotions disadvantages; mainly in the long-term. This study investigates the effect of price and in-store promotions on sales volume in different regions within an emerging market. The database used is at SKU level for juice, being segregated in the Brazilian northeast and southeast regions and corresponding to the period from January 2011 to January 2013. The methodological approach is descriptive quantitative involving validation tests, application of multivariate and temporal series analysis method. The Vector-Autoregressive (VAR) model was used to perform the analysis. Results suggest similar price sensitivity in the northeast and southeast region and greater in-store promotion sensitivity in the northeast. Price reductions show negative results in the long-term (persistent sales in six months) and in-store promotion, positive results. In-store promotion shows no significant influence on sales in chain self-service stores while price demonstrates no relevant impact on sales in traditional full-service stores. Hence, this study contributes to the business environment for companies wishing to manage price and sales promotions for consumer brands in regions with different features within an emerging market. As a theoretical contribution, this study fills an academic gap providing a dedicated price and sales promotion study to contrast regions in an emerging market.
O aumento da competição causada pela globalização, alto crescimento dos mercados emergentes e a estagnação dos mercados em países desenvolvidos levaram empresas de Consumer Packaged Goods (CPG) a direcionar sua atenção aos mercados emergentes. Estas empresas devem adaptar suas atividades de marketing as particularidades destes mercados para obter sucesso. Em um país classificado como emergente, diferentes regiões possuem distintas características. Adicionalmente, divergências no efeito das variáveis de marketing também podem ser observadas nos diferentes formatos de varejo. Os formatos de varejo em um mercado emergente podem ser classificados em autosserviço (chain self-service) e tradicional de serviço (traditional full-service). Desta forma, entender a eficácia do marketing mix não apenas no nível agregado de país pode ser uma contribuição importante. Na medida em que as empresas visam gerar lucros em mercados emergentes, o preço é uma importante variável de marketing no processo de criação de uma vantagem competitiva. Junto com o preço, variáveis de promoção como displays nas lojas e redução de preços são muitas vezes vistos como incentivos temporários para aumentar as vendas no curto prazo. Executivos defendem o uso de promoções como sendo a maneira mais confiável e mais rápida de aumentar vendas e o lucro no curto prazo. No entanto, alguns autores alertam sobre as desvantagens de promoção de vendas; principalmente, no longo prazo. Este estudo investiga o efeito de preço e promoção em lojas no volume de vendas em diferentes regiões dentro de um mercado emergente. A base de dados utilizada esta no nível SKU para o suco, sendo segregada nas regiões do sudeste e nordeste brasileiro, correspondendo ao período entre janeiro de 2011 a janeiro de 2013. A abordagem metodológica de validação é quantitativa descritiva, sendo aplicado um método de análise de séries multivariadas e temporais. O modelo de vetor autorregressivo (VAR) foi utilizado para realizar a análise. Os resultados sugerem uma sensibilidade de preço semelhante na região do nordeste e do sudeste e maior sensibilidade de promoção em lojas no nordeste. Reduções de preço mostram resultados negativos no longo prazo (persistência do volume de vendas em seis meses) enquanto promoção em lojas teve resultados positivos. Promoção em lojas não mostra influência significativa sobre as vendas em lojas de autosserviço, por outro lado, preço demonstra não ter impacto relevante sobre as vendas em lojas tradicionais de serviço. Assim, este estudo contribui ao cenário executivo para empresas que almejam aperfeiçoar a promoções de vendas e precificação de suas marcas em regiões com diferentes características dentro de um mercado emergente. Como contribuição teórica, este estudo preenche uma lacuna acadêmica fornecendo um estudo de preço e promoção de vendas dedicado ao contraste de regiões em um mercado emergente.
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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 energetinio projekto parengimas. Atlikus tyrimą nustatyta, kad norint gyvenamajam namui įrengti vėjo jėgainę, bei šilumos siurblį, reikia 181 000 Lt pradinių investicijų, o diskontuotas projekto atsipirkimo laikas sudarytų beveik 18 metų. Kad tokie projektai atsipirktų daug anksčiau ir pradinės investicijos būtų mažesnės, buvo parengtas alternatyvios energetikos (toliau – AE) plėtros efektyvumo modelis, kuris akcentuoja verslo, mokslo ir politikos sinergijos būtinumą. Darbo apimtis – 74 p. teksto be priedų, 39 iliustr., 23 lent., 70 literatūros šaltinių. Atskirai pridedami darbo priedai.This work main point – explore alternative energy developmental efficiency influencing forces in Lithuania, and make a model, to solve this problem, with reference, econometric and real project counts. The main solving problems are associated with week relationship between policy, business and science. Non effective sponsorship of energetic projects, non rational motivation of citizens in AE advantages, and long payback, gives non economical business „shadow“. The one of most important part of this work is preparation of energetic project. The main results maintaining that, if we want put a wind mill and thermal pump in individual house, we need at least 181 000 Lt, start – up investments and discounted payback will be reached about 18 years. That projects, like this will be payback earlier and start – up investment will be smaller was prepared alternative energy developmental model, witch emphasizes business, science and policy synergy necessity. Thesis consist of: 74 p. text without appendixes, 39 pictures, 23 tables, 70 bibliographical entries. Appendixes included.
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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.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 approach. The result is a model that represents the world wool market in detail, tracking the production of greasy wool through five off-farm production stages ending in the production of wool garments. Capturing the multistage nature of the wool production system is a key pillar in this part of the model . . . The estimated welfare gain for China is 0.1% of real income; this is a significant welfare gain. For three losing regions Italy, Germany and Japan the results are robust and we can be highly confident that these regions are the largest losers from the complete removal of 2005 wool tariffs. In both wool tariff liberalisation scenarios, regions whose exports are skewed towards wool textiles and garments gain the most as it is these wool products that have the highest initial tariff rates. The overall finding of this work is that a sophisticated analytical framework is necessary for analysing productivity and trade issues in the world wool market. Only a model of this kind can appropriately handle the degree of complexity of interactions between members (domestic and foreign) of the multistage wool production system. Further, including the nonwool economy in the analytical framework allows us to capture the indirect effects of changes in the world wool market and also the effects on the nonwool economy itself.
Books on the topic "Target marketing – Econometric models"
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1963-, Franses Philip Hans, and Montgomery A, eds. Econometric models in marketing. Amsterdam: JAI, 2002.
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Fok, Dennis. Advanced econometric marketing models =: Geavanceerde econometrische marketing modellen. Rotterdam: Erasmus Research Institute of Management, 2003.
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Find full textBook chapters on the topic "Target marketing – Econometric models"
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Mulders, Marijn. "Target marketing." In 101 Management Models, 350–52. Routledge, 2019. http://dx.doi.org/10.4324/9781003022022-96.
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Hanssens, Dominique M. "Econometric Models." In The History of Marketing Science, 99–127. 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, 239–52. 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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Potharst, Rob, Uzay Kaymak, and Wim Pijls. "Neural Networks for Target Selection in Direct Marketing." In Neural Networks in Business, 89–111. 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 network models are discussed afterwards, followed by a comparison of the results with some other target selection methods. Finally, the chapter concludes with a short discussion.
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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, 350–60. 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 viral marketing in developing positive brand equity in customers' mindsets. A comparison of previous and present CBBE models are also presented in this study.
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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, 66–75. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4772-4.ch005.
Full textAbstract:
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 viral marketing in developing positive brand equity in customers' mindsets. A comparison of previous and present CBBE models are also presented in this study.
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Yoon, Kanghyun, and Jeanetta D. Sims. "Re-Conceptualizing Relational Integrated Marketing Communications from the Perspective of Social CRM." In Integrating Social Media into Business Practice, Applications, Management, and Models, 222–53. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6182-0.ch012.
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As a new emerging trend, social Customer Relationship Management (social CRM) can be defined as the business practice of promoting voluntary customer engagement activities driven by social media into the value creation process in order to build long-term co-beneficial relationships with target customers as the ultimate end-goal of customer relationship management. Following the spirit of social CRM, this chapter is intended to propose conceptual guidelines for the design of effective relational integrated marketing communications strategies, including message and media strategies, with particular focus on the promotion of opinion leaders' voluntary engaged efforts with others in a typical social network setting. By implanting the power of social media in relational integrated marketing communications strategies, marketers are able to put the “relationship” back into CRM in order to restore its true meaning – building better long-term relationships with customers.
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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, 152–67. 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 which can be used by managers of cultural institutions in cities such as Cieszyn-Czech Cieszyn. Proposed strategies are in relation to specified target markets - residents of a city divided by a border. The practical application aspect of this chapter is evident in the indication of the direction future marketing efforts of cultural institutions should take to improve their market position.
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Kaufmann, Michael, and Cédric Graf. "Fuzzy Target Groups in Analytic Customer Relationship Management." In Fuzzy Methods for Customer Relationship Management and Marketing, 168–92. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0095-9.ch008.
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Scoring models yield continuous predictions instead of sharp classifications. Scoring customers for profitability, loyalty, or product affinity corresponds to an inductive fuzzy classification: The model represents a continuous membership function mapping the set of customers into the fuzzy set of interesting customers – the fuzzy target group. This chapter presents a method for membership function induction based on normalized likelihood ratios. Applications of this method are proposed for selection, visualization, and prediction in the field of analytics in general, and for customer profiling, target group definition and customer scoring specifically for analytic customer relationship management. A real world case study is described. Furthermore, an implementation of the proposed method, developed at the research center for fuzzy marketing methods (FMsquare1), is presented.
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Saiz-Álvarez, José Manuel. "Entrepreneurship, Information Technologies, and Educational-Based Virtuous Circles in Post-Industrialized Economies." In Advances in Educational Marketing, Administration, and Leadership, 312–23. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-4233-1.ch016.
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Information Technologies are transforming traditional educational models based on new communication skills. Using a comparative analysis, the scope of this work is two-fold: (1) to study the importance of entrepreneurship and R&D in tertiary education and (2) to analyze which conditions must change in order to contribute to adopt this new IT-based model by the more traditional countries or university institutions that do not research, arguing they are focused on short-term goals only. Using a single OLS econometric model, the author demonstrates that R&D in companies and universities, both public and private, are complementary, R&D applied in education guarantees future positive externalities and creates IT educational societies, while globalization favors capital and human resources mobility, not only nationally but also internationally.
Conference papers on the topic "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. Paris, France: 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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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 research problems. Depending on the tasks set, the university library can use different models for building client networks. The experience of applying the marketing approach for the development of the VK group of the USFTU (Ural State Forest Engineering University) scientific library in dynamics showed positive results in key indicators: the number of visits to the group was 102% of the target, the number of views was 254%.
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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 number of variants to be produced in order to maximize market coverage. An application of the model using a Drill product family is included to demonstrate the usefulness of the proposed model.
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Nellippallil, Anand Balu, Vignesh Rangaraj, B. P. Gautham, Amarendra Kumar Singh, Janet K. Allen, and Farrokh Mistree. "A Goal-Oriented, Inverse Decision-Based Design Method to Achieve the Vertical and Horizontal Integration of Models in a Hot Rod Rolling Process Chain." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67570.
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Reducing the manufacturing and marketing time of products by means of integrated simulation-based design and development of the material, product, and the associated manufacturing processes is the need of the hour for industry. This requires the design of materials to targeted performance goals through bottom-up and top-down modeling and simulation practices that enables handshakes between modelers and designers along the entire product realization process. Manufacturing a product involves a host of unit operations and the final properties of the manufactured product depends on the processing steps carried out at each of these unit operations. In order to effectively couple the material processing-structure-property-performance spaces, there needs to be an interplay of the systems-based design of materials with enhancement of models of various unit operations through multiscale modeling methodologies and integration of these models at different length scales (vertical integration). This ensures the flow of information from one unit operation to another thereby establishing the integration of manufacturing processes (horizontal integration). Together these types of integration will support the decision-based design of the manufacturing process chain so as to realize the end product. In this paper, we present a goal-oriented, inverse decision-based design method to achieve the vertical and horizontal integration of models for the hot rolling and cooling stages of the steel manufacturing process chain for the production of a rod with defined properties. The primary mathematical construct used for the method presented is the compromise Decision Support Problem (cDSP) supported by the proposed Concept Exploration Framework (CEF) to generate satisficing solutions under uncertainty. The efficacy of the method is illustrated by exploring the design space for the microstructure after cooling that satisfies the requirements identified by the end mechanical properties of the product. The design decisions made are then communicated in an inverse manner to carry out the design exploration of the cooling stage to identify the design set points for cooling that satisfies the new target microstructure requirements identified. Specific requirements such as managing the banded microstructure to minimize distortion in forged gear blanks are considered in the problem. The proposed method is generic and we plan to extend the work by carrying out the integrated decision-based design exploration of rolling and reheating stages that precede to realize the end product.