A case study on services upgrading prediction

Georgios Kourogiorgas, Ozren Despic, Emmanuel Thanassoulis, Veronica Wong

Research output: Contribution to conferenceAbstract

Abstract

Customer Base Analysis is perhaps the first stage of analysis in customer value, aiming to predict purchase frequency and customer lifecycle. An important part of the customer purchase frequency and its retention has to do with the service upgrade. Many models have tried to predict purchase frequency as well as upgrading. The comparison of these models seems important to provide academics with a picture of the current situation.
The purpose of this research is to evaluate how models can predict service upgrade among a customer database of an online DVD rental company and suggest an alternative based on data mining techniques and data on historical transactions.
LanguageEnglish
Pages65
Publication statusPublished - 2008
Event30th Annual Marketing Science Conference - Vancouver, Canada
Duration: 12 Jun 200814 Jun 2008

Conference

Conference30th Annual Marketing Science Conference
Abbreviated titleINFORMS 2008
CountryCanada
CityVancouver
Period12/06/0814/06/08

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Kourogiorgas, G., Despic, O., Thanassoulis, E., & Wong, V. (2008). A case study on services upgrading prediction. 65. Abstract from 30th Annual Marketing Science Conference, Vancouver, Canada.
Kourogiorgas, Georgios ; Despic, Ozren ; Thanassoulis, Emmanuel ; Wong, Veronica. / A case study on services upgrading prediction. Abstract from 30th Annual Marketing Science Conference, Vancouver, Canada.
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abstract = "Customer Base Analysis is perhaps the first stage of analysis in customer value, aiming to predict purchase frequency and customer lifecycle. An important part of the customer purchase frequency and its retention has to do with the service upgrade. Many models have tried to predict purchase frequency as well as upgrading. The comparison of these models seems important to provide academics with a picture of the current situation.The purpose of this research is to evaluate how models can predict service upgrade among a customer database of an online DVD rental company and suggest an alternative based on data mining techniques and data on historical transactions.",
author = "Georgios Kourogiorgas and Ozren Despic and Emmanuel Thanassoulis and Veronica Wong",
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note = "30th Annual Marketing Science Conference, INFORMS 2008 ; Conference date: 12-06-2008 Through 14-06-2008",

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Kourogiorgas, G, Despic, O, Thanassoulis, E & Wong, V 2008, 'A case study on services upgrading prediction' 30th Annual Marketing Science Conference, Vancouver, Canada, 12/06/08 - 14/06/08, pp. 65.

A case study on services upgrading prediction. / Kourogiorgas, Georgios; Despic, Ozren; Thanassoulis, Emmanuel; Wong, Veronica.

2008. 65 Abstract from 30th Annual Marketing Science Conference, Vancouver, Canada.

Research output: Contribution to conferenceAbstract

TY - CONF

T1 - A case study on services upgrading prediction

AU - Kourogiorgas, Georgios

AU - Despic, Ozren

AU - Thanassoulis, Emmanuel

AU - Wong, Veronica

PY - 2008

Y1 - 2008

N2 - Customer Base Analysis is perhaps the first stage of analysis in customer value, aiming to predict purchase frequency and customer lifecycle. An important part of the customer purchase frequency and its retention has to do with the service upgrade. Many models have tried to predict purchase frequency as well as upgrading. The comparison of these models seems important to provide academics with a picture of the current situation.The purpose of this research is to evaluate how models can predict service upgrade among a customer database of an online DVD rental company and suggest an alternative based on data mining techniques and data on historical transactions.

AB - Customer Base Analysis is perhaps the first stage of analysis in customer value, aiming to predict purchase frequency and customer lifecycle. An important part of the customer purchase frequency and its retention has to do with the service upgrade. Many models have tried to predict purchase frequency as well as upgrading. The comparison of these models seems important to provide academics with a picture of the current situation.The purpose of this research is to evaluate how models can predict service upgrade among a customer database of an online DVD rental company and suggest an alternative based on data mining techniques and data on historical transactions.

UR - http://www.marketscience2008.sauder.ubc.ca/files/INFORMS_Catalogue_Final&Complete.pdf

M3 - Abstract

SP - 65

ER -

Kourogiorgas G, Despic O, Thanassoulis E, Wong V. A case study on services upgrading prediction. 2008. Abstract from 30th Annual Marketing Science Conference, Vancouver, Canada.