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Asian Journal of Scientific Research

Year: 2018 | Volume: 11 | Issue: 3 | Page No.: 337-343
DOI: 10.3923/ajsr.2018.337.343

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Research Article

Market Segmentation and Product Positioning Analysis of Cow Milk Processing Brand E-co Farm Bogor Agricultural University

Anggita Putri
School of Business, Bogor Agricultural University, Indonesia
LiveDNA: 62.20186

Dodik Ridho Nurrochmat
School of Business, Bogor Agricultural University, Indonesia

Toni Bakhtiar
Department of Mathematics, Bogor Agricultural University, Indonesia

Background and Objective: E-co farm is a business unit of IPB livestock faculty which engaged in fresh milk processing. E-co farm hopes to be able to produce and sell more processed dairy products but in fact until now E-co farm has not been able to meet its expectations in terms of producing more products and expanding the marketing area. This research is conducted in order to see the consumers behaviour by analysing market segmentation and the positioning of E-co farm milk products based on attributes in the product and formulating the right strategy for the development of beverage business of processed products of cow's milk of E-co farm IPB. Methodology: This research used sample as many as 100 respondents, with the criteria of buying and consuming the dairy products of E-co farm and D-farm in the last 6 months. Segmentation analysis was conducted with the help of K means cluster and analysis of products positioning was conducted with the help of correspondence analysis. Both of these analysis were processed using SPSS 22.0. Results: The result of the analysis shows that there are three groups of segments formed based on the psychographic aspect that is called experiencer (8%), rational (27%) and conventional (65%). The target segment in this research is conventional segment. Products positioning or image that are most attached to the consumers about the processed products of cow’s milk of E-co farm IPB is affordable price, lots of variations of size/volume and health benefits. Conclusion: The study showed the strategy that can be formulated to develop beverage business of processed products of cow’s milk of E-co farm IPB is improving the human resources and expanding the potential market area, improving the promotion activity with the "above the line" nature where the network is wider and spread evenly to increase the consumers awareness on the products brand so that the product image will be more attached to the consumers.
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How to cite this article

Anggita Putri, Dodik Ridho Nurrochmat and Toni Bakhtiar, 2018. Market Segmentation and Product Positioning Analysis of Cow Milk Processing Brand E-co Farm Bogor Agricultural University. Asian Journal of Scientific Research, 11: 337-343.

DOI: 10.3923/ajsr.2018.337.343

URL: https://scialert.net/abstract/?doi=ajsr.2018.337.343

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References


  1. Diao, X., 2010. Economic importance of agriculture for sustainable development and poverty reduction. OECD Headquarters, Technical Communications, November 15-17, 2010, Paris, pp: 45-64.

  2. Muehlhoff, E., A. Bennett and D. McMahon, 2013. Milk and Dairy Products in Human Nutrition. Food and Agriculture Organization of the United Nations, Rome, ISBN: 978-92-5-107863-1 Pages: 376.
    Direct Link

  3. Goyat, S., 2011. The basis of market segmentation: A critical review of literature. Eur. J. Bus. Manage., 3: 45-54.
    Direct Link

  4. Kotler, P.T. and K.L. Keller, 2012. Marketing Management. 14th Edn., Pearson, New Jersey.

  5. Sarli, A. and H.H. Tat, 2011. Attracting consumers by finding out their psychographic traits. Int. J. Fundam. Psychol. Soc. Sci., 1: 6-10.
    Direct Link

  6. Bose, T.K., 2012. Market segmentation and customer focus strategies and their contribution towards effective value chain management. Int. J. Market. Stud., 4: 113-121.
    CrossRefDirect Link

  7. Sumarwan, U., 2015. Perilaku Konsumen: Teori dan Penerapannya dalam Pemasaran. PT Ghalia, Jakarta, Indonesia, (In Indonesian).

  8. Kaur, N., J.K. Sahiwal and N. Kaur, 2012. Efficient k-means clustering algorithm using ranking method in data mining. Int. J. Adv. Res. Comput. Eng. Technol., 1: 85-91.
    Direct Link

  9. Raval, U.R. and C. Jani, 2016. Implementing and improvisation of k-means clustering algorithm. Int. J. Comput. Sci. Mobile Comput., 5: 191-203.
    Direct Link

  10. Rencher, A.C. and W.F. Christensen, 2002. Methods of Multivariate Analysis. 2nd Edn., John Wiley and Sons, Inc., New York.

  11. Bendixen, M., 2003. A practical guide to the use of correspondence analysis in marketing research. Market. Bull., 1: 16-38.
    Direct Link

  12. Dickson, P.R. and J.L. Ginter, 2016. Market segmentation, product differentiation and marketing strategy. J. Market., 51: 1-10.
    CrossRefDirect Link

  13. Vikraman, A. and K.P. Ganesan, 2011. Market segmentation of milk-a study on consumer preferences in Kanchipuram district. Int. J. Enterp. Innovation Manage. Stud., 2: 150-156.
    Direct Link

  14. Ponduri, S.B. and V. Sailaja, 2014. Consumer involvement in brand positioning. J. Scient. Res. Manage., 2: 1040-1059.
    Direct Link

  15. Najafizadeh, N.S., M. Elahi, A. Moemeniand and Z. Lotfi, 2012. A model for brand positioning of hygienic products using the most effective factors on competitive position and perceptual map technique. Afr. J. Bus. Manage., 6: 8102-8117.
    Direct Link

  16. Ekmekci, A.K., 2010. The importance of product positioning and global branding for sustaining competitive advantage within the companie's global marketing strategy. J. Econ. Admin. Sci., 9: 17-26.
    CrossRefDirect Link

Keywords


  • phychographic
  • K means cluster
  • Consumer behaviour
  • correspondence
  • E-co farm

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