Segmenting retail banking customers

被引:0
|
作者
Ron Garland
机构
[1] Waikato Management School,Department of Marketing
[2] University of Waikato,undefined
关键词
banking; customer relations; e-business; e-commerce; financial brokers; financial engineering; financial institutions; financial marketing; financial models; financial planning; financial training; insurance; intermediation; knowledge management; management; marketing; marketing strategy; Customer profitability; retail banking; segmentation;
D O I
10.1057/palgrave.fsm.4770184
中图分类号
学科分类号
摘要
The desire to treat all customers equally, irrespective of their value to the organisation reflects the laudable but uneconomic service mantras of the past. New Zealand banks, using modern database management tools in conjunction with individual customer information, are migrating customers to cheaper delivery systems and adjusting their customer service levels (customer support, privileges, fee waivers, discounts, etc) according to customer profitability. The essence of this database management is still customer segmentation. Using a retail bank's proprietary customer contribution data in combination with survey-based customer data, this paper presents a quantitative eight segment ‘extension’ of Reinartz and Kumar's (2002) behavioural segmentation solution. Potential profitability in the customer-bank relationship is drawn from incorporation of share of wallet into the segmentation solution, providing insight into the management of each segment's customers, especially the ‘barnacles’ (loyal, loss-making customers) and the ‘butterflies’ (short-term, profitable customers).
引用
收藏
页码:179 / 191
页数:12
相关论文
共 50 条
  • [1] Segmenting retail banking customers
    Garland, Ron
    [J]. JOURNAL OF FINANCIAL SERVICES MARKETING, 2005, 10 (02) : 179 - 191
  • [2] Segmenting bank customers by resistance to mobile banking
    Laukkanen, Tommi
    Sinkkonen, Suvi
    Laukkanen, Pekka
    Kivijarvi, Marke
    [J]. INTERNATIONAL JOURNAL OF MOBILE COMMUNICATIONS, 2008, 6 (03) : 309 - 320
  • [3] Segmenting retail customers with an enhanced RFM and a hybrid regression/clustering method
    Yoseph, Fahed
    Heikkila, Markku
    [J]. 2018 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND DATA ENGINEERING (ICMLDE 2018), 2018, : 108 - 116
  • [4] Segmenting internet banking adopter and non-adopters in the Turkish retail banking sector
    Ozdemir, S.
    Trott, P.
    Hoecht, A.
    [J]. INTERNATIONAL JOURNAL OF BANK MARKETING, 2008, 26 (04) : 212 - 236
  • [5] Using IT to enhance customers loyalty and trust in retail banking
    Dameri, Renata Paola
    Bonfante, Sara
    [J]. PROCEEDINGS OF THE EUROPEAN CONFERENCE ON INFORMATION MANAGEMENT AND EV ALUATION, 2007, : 111 - +
  • [6] Evaluating models for classifying customers in retail banking collections
    Hand, D. J.
    Zhou, F.
    [J]. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2010, 61 (10) : 1540 - 1547
  • [7] MAIN FACTORS OF EMOTIONALLY ATTACHED CUSTOMERS IN RETAIL BANKING OF LATVIA
    Japparova, Irina
    Rupeika-Apoga, Ramona
    [J]. NEW CHALLENGES OF ECONOMIC AND BUSINESS DEVELOPMENT - 2019: INCENTIVES FOR SUSTAINABLE ECONOMIC GROWTH, 2019, : 344 - 354
  • [8] Predicting retail banking customers' attitude towards Internet banking services in South Africa
    Maduku, D. K.
    [J]. SOUTHERN AFRICAN BUSINESS REVIEW, 2013, 17 (03) : 76 - 100
  • [9] THE EFFECT OF INSTITUTIONAL TRUST ON INTERNET BANKING ACCEPTANCE: PERSPECTIVES OF SOUTH AFRICAN BANKING RETAIL CUSTOMERS
    Maduku, Daniel K.
    [J]. SOUTH AFRICAN JOURNAL OF ECONOMIC AND MANAGEMENT SCIENCES, 2016, 19 (04) : 533 - 548
  • [10] Service excellence in UK retail banking: customers' perspectives of the important antecedents
    Sekhon, Harjit Singh
    Al-Eisawi, Dima
    Roy, Sanjit Kumar
    Pritchard, Adrian
    [J]. INTERNATIONAL JOURNAL OF BANK MARKETING, 2015, 33 (07) : 904 - 921