IDEAS home Printed from https://ideas.repec.org/a/aes/ijeptp/v2y2012i2p62-67.html
   My bibliography  Save this article

Understanding the Processes of Customer Acquisition, Customer Retention and Customer Relationship Development

Author

Listed:
  • Alina Filip

    (Bucharest Academy of Economic Studies)

  • Lelia Voinea

    (Bucharest Academy of Economic Studies)

Abstract

Attracting new customers is an objective pursued by any organization, which in the actual competitive environment is almost inevitably facing with a phenomenon of customer migration. Therefore, lost customers must be replaced and this process involves specific activities of prospects identification, communication channels selection and choice of the adequate supply for targeting potential customers. Processes of customer retention and customer relationship development are a logical continuation of customer acquisition plans. A retention strategy aims to maintain relationships with a highest proportion of the current customer base by decreasing their migration rate. A relationship development strategy involves additional efforts to increase the value or profitability of existing customers. These strategies are differently designed in relation with various customer segments, depending on their current attractiveness and their development potential. Retention strategies may be classified into two main categories, positive and negative, in light of the influence they have on customer repurchase behaviour and attitudes. Development objectives relate primarily to selling additional products and services to customers in the current database and selling higher value or higher profit margin products and services to the same customer segments.

Suggested Citation

  • Alina Filip & Lelia Voinea, 2012. "Understanding the Processes of Customer Acquisition, Customer Retention and Customer Relationship Development," International Journal of Economic Practices and Theories, Academy of Economic Studies - Bucharest, Romania, vol. 2(2), pages 62-67, April.
  • Handle: RePEc:aes:ijeptp:v:2:y:2012:i:2:p:62-67
    as

    Download full text from publisher

    File URL: http://www.ijept.org/index.php/ijept/article/download/understanding_the_processes_of_customer_acquisition%2C_customer_retention_and_customer_relationship_development/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Catalin Boja, 2011. "Clusters Models, Factors and Characteristics," International Journal of Economic Practices and Theories, Academy of Economic Studies - Bucharest, Romania, vol. 1(1), pages 34-43, July.
    2. Lelia Voinea & Alina Filip, 2011. "Analyzing the Main Changes in New Consumer Buying Behavior during Economic Crisis," International Journal of Economic Practices and Theories, Academy of Economic Studies - Bucharest, Romania, vol. 1(1), pages 14-19, July.
    3. Filip, Alina, 2011. "New product development in business to business marketing - a relational perspective," MPRA Paper 31597, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Raluca IGNAT, 2012. "Premises and Challenges of Entrepreneurship in Romanian Rural Areas," Economia. Seria Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(2), pages 423-435, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Łukasz Wróblewski & Zdzisława Dacko-Pikiewicz, 2018. "Sustainable Consumer Behaviour in the Market of Cultural Services in Central European Countries: The Example of Poland," Sustainability, MDPI, vol. 10(11), pages 1-11, October.
    2. Neamţu Daniela Mihaela & Bejinaru Ruxandra & Hapenciuc Cristian Valentin, 2020. "Challenges and opportunities for creative-innovative clusters partnerships," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 1057-1070, July.
    3. Mihaela DIACONU & Amalia DUTU, 2020. "Crisis, Uncertainty, Risk And Consumer Behavior: A Psycho-Economic Approach," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 19(2), pages 3-8.
    4. Das, Manoj & Ramalingam, Mahesh, 2022. "What drives product involvement and satisfaction with OFDs amid COVID-19?," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    5. Ivana Kursan Milakovic, 2020. "Croatian Purchase Experience During Covid-19: The Role of Company's Media Presence for Consumer Vulnerability, Resilience and Buying Behaviour," MIC 2020: The 20th Management International Conference,, University of Primorska Press.
    6. Adel Ben Youssef & Nawsheen Elaheebocus & Hatem M'Henni & Ludovic Ragni, 2012. "Are Technoparks High Tech Fantasies? Lessons from the Tunisian Experience," Post-Print halshs-01068253, HAL.
    7. Elhajjar, Samer, 2023. "Factors influencing buying behavior of Lebanese consumers towards fashion brands during economic crisis: A qualitative study," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    8. Hülya Bakirtas & Ibrahim Bakirtas & Mümin Atalay Celik, 2015. "Faydaci ve Hazci Alisveris Degeri ve Tüketici Tatmininin Tüketicinin Davranissal Niyetleri Üzerindeki Etkileri," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 15(1), pages 91-98.
    9. Patrick Gudda & Henry M. Bwisa & John M. Kihoro, 2013. "Effect of Supplier and Customer Collaboration on Product Innovativeness: A Focus on Small and Medium-Sized Enterprises (SMES) in Kenya," International Journal of Learning and Development, Macrothink Institute, vol. 3(5), pages 130-136, October.
    10. Jyotsna Joshi, 2021. "Competitiveness, Manufacturing and Infrastructure: The Asian Paradigm," Journal of Development Policy and Practice, , vol. 6(1), pages 78-107, January.
    11. Anastasiia Konstantynova & James R. Wilson, 2014. "Comparing Cluster Policies: An Analytical Framework," Working Papers 2014R01, Orkestra - Basque Institute of Competitiveness.
    12. Marian DARDALA & Adriana REVEIU, 2013. "Using Raster Based Solutions to Identify Spatial Economic Agglomerations," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 17(1), pages 131-143.
    13. Jia Yun Moerth-Teo & Vito Bobek & Tatjana Horvat & Franko Milost, 2021. "The Effects of Consumers’ Buying Behavior on E-Commerce Pricing in the Highly Developed Emerging Market: The Case of Singapore," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 13(12), pages 1-55, December.
    14. Tavlikou A Evangelia & Assimakopoulos Costas, 2018. "Study on The Impact of Socio-Economic Crisis on Greek Wellness Tourists' Spending Behavior," Post-Print hal-02463490, HAL.
    15. Yalçın Kirdar & Ahmet Sezer, 2016. "Cluster Mapping of Medical Tourism in Turkey and Regional Clustering for Health Tourism," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 2, January -.
    16. Zeynep Karaca, 2018. "The Cluster Analysis In The Manufacturing Industry With K-Means Method: An Application For Turkey," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 6(3), pages 1-12.
    17. Tavlikou, Evangelia & Assimakopoulos, Costas, 2018. "Study on The Impact of Socio-Economic Crisis on Greek Wellness Tourists’ Spending Behavior," MPRA Paper 90102, University Library of Munich, Germany, revised 16 Apr 2018.
    18. Rodica Pamfilie & Roxana Procopie & Magdalena Bobe & Smaranda Visan, 2013. "Design: the answer of contemporary businesses to the requirements of sustainable development," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 15(Special 7), pages 573-582, November.
    19. Wawan Dhewanto & Rendra Chaerudin & Donald Lantu & Sri Herliana & Evy Rachmawati, 2015. "Diamond Model Development of ICT Industry Clusters in a Developing Country," Journal of Business & Management (COES&RJ-JBM), , vol. 3(2), pages 348-355, April.
    20. Yigitcanlar, Tan & Adu-McVie, Rosemary & Erol, Isil, 2020. "How can contemporary innovation districts be classified? A systematic review of the literature," Land Use Policy, Elsevier, vol. 95(C).

    More about this item

    Keywords

    customer acquisition; relationships development; relationship marketing; retention rate;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aes:ijeptp:v:2:y:2012:i:2:p:62-67. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catalin Boja (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.