Similar Search Results

Consumer Behavior in Practice : Strategic Insights for the Modern Marketer

Chan, Eugene Y. - 2024

Introduction to this Text -- PART 1 -- Chapter 1: Consumer Decision Making Strategies -- PART 2 -- Chapter 2: Advertising -- Chapter 3: Pricing -- Chapter 4: Brand Loyalty -- Chapter 5: Emotional Marketing -- PART 3 -- Chapter 6: Luxury Consumer Behavior -- Chapter 7: Digital Consumer Behavior...

Persistent link: https://www.econbiz.de/10014478777

An application of conjoint analysis to consumer preference for beverage products in Nigeria

Oyatoye, Emmanuel Olateju; Adebiyi, Sulaimon Olanrewaju; … - In: Acta Universitatis Danubius / Oeconomica 9 (2013) 6, pp. 43-56

Persistent link: https://www.econbiz.de/10010342054

Empirical validation and comparison of models for customer base analysis

Batislam, Emine Persentili; Denizel, Meltem; … - In: International journal of research in marketing : IJRM ; … 24 (2007) 3, pp. 201-209

Persistent link: https://www.econbiz.de/10003561994

The role of time-varying contextual factors in latent Attrition models for customer base analysis

Bachmann, Patrick; Meierer, Markus; Näf, Jeffrey - In: Marketing science 40 (2021) 4, pp. 783-809

Persistent link: https://www.econbiz.de/10012623449

Consumer dominant value creation : a theoretical response to the recent call for a consumer dominant logic for marketing

Anker, Thomas Boysen; Sparks, Leigh; Moutinho, Luiz; … - In: European journal of marketing : EJM 49 (2015) 3/4, pp. 532-560

Persistent link: https://www.econbiz.de/10011309583

The inter-variable perspective on consumer value research : a personal documented view

Sánchez-Fernández, Raquel; Gallarza, Martina G. - In: Value in marketing : retrospective and perspective stance, (pp. 90-125). 2020

Persistent link: https://www.econbiz.de/10012151128

Customer behavior mining framework (cbmf) using clustering and classification techniques

Abdi, Farshid; Abolmakarem, Shaghayegh - In: Journal of industrial engineering international 15 (2019), pp. 1-18

The present study proposes a Customer Behavior Mining Framework on the basis of data mining techniques in a telecom company. This framework takes into account the customers’ behavior patterns and predicts the way they may act in the future. Firstly, clustering technique is used to implement...

Persistent link: https://www.econbiz.de/10012164521

Modern aspects and trends of customer intelligence development

Soldatenko, Tatyana А.; Yessimzhanova, Saira R. - In: Economics : the strategy and practice : ESP 15 (2020) 2, pp. 107-113

Persistent link: https://www.econbiz.de/10012417820

Prognose von Kaufwahrscheinlichkeiten auf Basis geäußerter Kaufabsichten

Decker, Reinhold - In: Marketingprobleme : innovative Lösungsansätze aus …, (pp. 73-80). 1995

Persistent link: https://www.econbiz.de/10001316677

"Counting your customers" one by one : a hierarchical bayes extension to the Pareto/NBD model

Abe, Makoto - In: Marketing science 28 (2009) 3, pp. 541-553

Persistent link: https://www.econbiz.de/10003868047