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Dirk V.P. Predicting Mail-Order Repeat Buying: Which VariablesMatter? Ghent University, Faculty of Economics and Business Administration,Department of Marketing, Hoveniersberg, Working papers, 2003.15990. Dolen W., Ruyter K., Lemmink J. An empirical assessment of theinfluence of customer emotions and contact employee performance on encounterand relationship satisfaction. Journal of Business Research, 2004, 57 –pp. 437–444.91. Dwyer F.R.. Customer Lifetime Valuation to Support MarketingDecision Making. Journal of Direct Marketing, 1989, 3 (4), - pp.8–15.92. East R. , Hammond K. Satisfaction and prediction, AustralianMarketing conference,1998.93. Ehrenberg, A.S.C.
The Pattern of Consumer Purchases, AppliedStatistics, 1959, vol. 8.94. Enis B.M., Gordon W.P. Store Loyalty as a Basis for MarketSegmentation. Journal of retailing, 1970, vol. 46 (Fall), Issue 3.95. Fader P. S. , Hardie B.G.S. , Lee K. L. Counting Your Customers theEasy Way: An Alternative to the Pareto/NBD Model.
Marketing Science, 200524(2), -pp. 275–284.96. Fader, P. S. и Hardie, B.G.S. Probability Models for Customer-Baseanalysis. Journal of Interactive Marketing, 2009, vol. 23 – 61-69 pp.97. Fader, P.S., Hardie, B.G.S. и Lee, K.L. RFM and CLV: Using Iso-valueCurves for Customer Base Analysis. Journal of Marketing Research, 2005, VolXLII, - pp.415-430.98. Garton P. A. Store loyal: A view of differential congruence,International Journal of Retail and Distribution Management, 1995, № 10.99. Gupta S. , Hanssens D., Hardie B., Kahn W., Kumar V., Lin N.,Ravishanker N., Sriram S.
Modeling Customer Lifetime Value. Journal ofservice research, Novеmber 2006 – pp. 139-155.100. Gupta S., Lehmann D.R., Stuart J. A. Valuing Customers. Journal ofMarketing research, 2004, 41 (1), - pp.7-18.101. Hamilton J.D. Time Series Analysis, Princeton, NJ: PrincetonUniversity Press, 1996.160102. Hofmeyr J., Rice B. Commitment-Led Marketing.
John Wiley andSons, 2000.103. Kumar N., Scheer L., Kotler P. From market driven to market driving.European Management Journal. 2000, 18 (2) – pp.129–142.104. Kumar V. , Petersen J. A., Leone R. P. How Valuable Is Word ofMouth? Identify the customers who bring in the most referrals.
Then capitalizeon that knowledge. Harvard Business Review, 2007, 10 – pp.1-9.105. Liesse J. Brands in Trouble. Advertising Age, 1992, December 2, -pp.16.106. Malthous E.C., Blattberg R.C. Can we predict customer lifetimevalue? Journal of Interactive Marketing, 2005, 19 – pp.2-16.107. Malthouse E.C. Ridge Regression and Direct Marketing ScoringModels. Journal of Interactive Marketing, 1999, 13(4), - pp.10-23.108. Malthouse E.C., Blattberg R.C. Is it Possible to Predict CustomerLong-Term Value? Journal of Interactive Marketing, 2005, 19(1), -pp. 2-16.109. Malthouse, E.C.
Scoring Models. John Wiley & Sons, 2003.110. Mattila A. S. The Impact of Relationship Type on Customer Loyaltyin a Context of Service Failures, Journal of Service Research, November, 2001 –pp.91-101.111. Miglautsch J.R. Thoughts on RFM scoring. The Journal of DatabaseMarketing, Volume 8, Number 1, 2000 –pp.67-72.112.
Morrison C.L. Measuring service quality: a review and critique ofresearch using SERVQUAL. Journal of the Market Research Society, 2004 – pp.479-497.113. Morrison, D.G. и Schmittlein D.C. Generalizing the NBD Model forCustomer Purchases: What are the Implications and Is It Worth The Effort?Journal of Business and Economic Statistics, 1988. Т. vol.
6. – pp. 145-159.114. Noah G. Customer Loyalty and Supplier Quality Competition.Management Science, 2002, 48 (2), - pp.207 – 221.161115. Page N. , Eddy C. The correlation between service quality, satisfactionand loyalty, Australian Marketing conference, 1997.116. Parasuraman A., Zeithaml V.A., Berry L. L. A Conceptual Moldel ofService Quality and Its Implications for Future Research. Journal of Marketing,vol. 49 (Fall 1985), - pp.41-50.117.
Pfeifer P. E., Carraway, R.L. Modeling Customer Relationships asMarkov Chains. Journal of Interactive Marketing, 2000, vol. 14 (Spring) –pp.43–55.118. Pfeifer P.E., Haskins M.E., Conroy R.M. Customer Lifetimevalue,Customer Profitability and the Treatment of Acquisition Spending, Journal ofMarketing issues, 2005, 17 Spring, -pp.11-25.119. Rao V., Thomas J. Dynamic models for sales and promotion policies.Operation Research Quarterly, 1973, 24 (3) – pp.403–417.120.
Reichheld F. The Loyalty Effect: The Hidden Force Behind Growth,Profits, and Lasting Value. Harvard Business School Aress, 1996.121. Reinartz W.J., Kumar V. The Impact of Customer RelationshipCharacteristics on Profitable Lifetime Duration The Journal of Marketing, 2003,vol. 67, No. 1 (Jan., 2003), -pp. 77-99.122.
Roberts M.L., Berger P.D. Direct Marketing Management, PrenticeHall, Englewood Cliffs, NJ, 1989.123.RomaniukJ.,SharpB.Therelationshipbetweencorporate/brandimage and customer loyalty: a replication. Australian Marketingconference, 1998.124. Rud O. P. Data Mining Cookbook: Modeling Data for Marketing,Risk, and Customer Relationship Management, John Wiley & Sons, 2001.125. Rundl S., Mackay T.
Measuring brand loyalty, Australian Marketingconference, 1998.126. Rundle S., Mackay T. Does loyalty reflect ease of substition and lackof awareness of substitutes? Australian Marketing conference, 1997.162127. Rust R., Ambler T., Carpenter G., Kumar V., Srivastava R. Measuringmarketing productivity: Current knowledge and future directions. Journal ofMarketing, 2004 68(4) –pp.
76–89.128. Schmittlein D.C., Morrison D.G., Colombo R. Counting yourcustomers: Who are they and what will they do next?, Management Science,1987 33(January) –pp.1–24.129. Schlueter, S. Get to the Essence of a Brand Relationship. MarketingNews, January 20 – pp.4.130. Thomas J.S. A Methodology for Linking Customer Acquisition toCustomer Retention. Journal of Marketing Research, Vol. 38, No. 2 (May,2001), pp. -262-268.131. Too L.H. Y. , Souchon A.L., Thirkell P.C. Relationship marketing andcustomer loyalty in a retail setting: a dynamic exploration. Journal of marketingintellegence and planning, June, 2000 – pp.287-319.132.
Venkatesan R., Kumar V. A Customer Lifetime Value Framework forCustomer Selection and Resource Allocation Strategy. Journal of Marketing2004, Vol. 68 - pp.106–125.133. Wright C. , Sparks L. Loyalty saturation in retailing: exploring the endof retail loyalty cards? International Journal of Retail and DistributionManagement, № 10, 1999 – pp.429-439.163ПРИЛОЖЕНИЕ 1.Рисунок 1.1.
Гистограммы распределения показателя «возраст» в разрезе кластеров.164Рисунок 1.2. Гистограммы распределения показателя «пол» в разрезе кластеров.165Рисунок 1.3. Гистограммы распределения показателя «семейное положение» в разрезе кластеров.166Рисунок 1.4. Гистограммы распределения показателя «количество покупок» в разрезе кластеров.167Рисунок 1.5. Гистограммы распределения показателя «сумма покупок» в разрезе кластеров.168Рисунок 1.6. Гистограммы распределения показателя «средний чек» в разрезе кластеров.169Рисунок 1.7. Гистограммы распределения показателя «частота покупок» в разрезе кластеров.170Рисунок 1.8. Гистограммы распределения показателя «время «жизни» в разрезе кластеров.171Рисунок 1.9. Гистограммы распределения показателя «время «сна» в разрезе кластеров.172ПРИЛОЖЕНИЕ 2.Таблица 2.1. Оценка различий между кластерами по параметрам покупательскогоповеденияРангиСумма покупокКластерныйномернаблюдения1N59518Среднийранг55271.7421119879572.4432382101783.014138496430.26ст.св.53668644229.28Асимпт.знч.ВсегоКоличествопокупокСредний чек5951858831.6121119897386.863238235738.8241384106021.8853668636942.59Время жизниХи-квадратКоличество покупок36497.533ст.св.4Асимпт.знч..00011116854314.7021119829459.8432382109937.604138427888.24ст.св.53668663134.58Асимпт.знч.Статистики критерияa,bХи-квадратСредний чек17408.5194.00011116815951861961.90211198104094.513238251487.4841384110475.9653668628626.10Статистики критерияa,bХи-квадратЧастота покупок57915.226ст.св.4Асимпт.знч..00011116815951847853.1421119842994.623238233193.33Хи-квадрат4138437124.46ст.св.53668674120.75Асимпт.знч.Всего.000Статистики критерияa,b59518ВсегоСумма покупок18033.99941ВсегоЧастотапокупокХи-квадрат1111681ВсегоСтатистики критерияa,bСтатистики критерияa,bВремя жизни19049.3774.000111168173ПериоднеактивностиКластерныйномернаблюдения1N59518Среднийранг40800.9921119819757.224138413298.85Хи-квадрат3238250308.07ст.св.53668692442.45Асимпт.знч.ВсегоПолСемейноеположение54417.1121117654021.193238062254.55Хи-квадрат4138253524.41ст.св.53665657414.32Асимпт.знч.Статистики критерияa,bПол444.2874.00011104615951854260.4621119856546.493238254041.64Хи-квадрат4138457744.42ст.св.53668657457.63Асимпт.знч.Статистики критерияa,bВозраст248.3884.00011116815951857044.6021119863788.453238251615.79Хи-квадрат4138469134.64ст.св.53668650458.02Асимпт.знч.Всего.00011116859452ВсегоПериод неактивности77624.49641ВсегоВозрастСтатистики критерияa,bСтатистики критерияa,bСемейное положение2376.8084.000111168174ПРИЛОЖЕНИЕ 3.Таблица 3.1.Частотная таблица распределения клиентов в зависимости отинтервала между покупкамиИнтервал между покупками0123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051Количество клиентов6245511394849167775855517846894218380034543276316126552332216618991822170014281270122111001069865809731654618587493411389362291279233246206153144141103917991745040331288% клиентов от базы (кумулятивно)41.74%49.36%55.04%59.57%63.48%66.94%70.07%72.89%75.43%77.74%79.93%82.04%83.82%85.38%86.83%88.10%89.31%90.45%91.40%92.25%93.07%93.80%94.52%95.10%95.64%96.13%96.56%96.98%97.37%97.70%97.97%98.23%98.47%98.67%98.86%99.01%99.18%99.31%99.42%99.51%99.61%99.68%99.74%99.79%99.85%99.90%99.93%99.96%99.98%99.99%99.99%100.00%175ПРИЛОЖЕНИЕ 4.Таблица 4.1.















