Skip to main content
Top

2013 | OriginalPaper | Chapter

39. Quantitatively Evaluating the Effects of Price Promotions Using Data Mining

Authors : Min Gan, Honghua Dai

Published in: Information Systems Development

Publisher: Springer New York

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Price promotions (also called discount promotions), i.e. short-term temporary price reductions for selected items (Hermann 1989), are frequently used in sales promotions. The main objective of price promotions is to boost sales and increase profits. Quantitative evaluation of the effects of price promotions (QEEPP) is essential and important for sales managers to analyse historical price promotions and informative for devising more effective promotional strategies in the future. However, most previous studies only provide insights into the effects of discount promotions from some specific prospectives, and no approaches have been proposed for comprehensive evaluation of the effects of discount promotions. For example, Hinkle [1965] discovered that price promotions in the off-season are more favourable, and the effects of price promotions are stronger for new products. Peckham [1973] found that price promotions have no impact on long-term trend. Blattberg et al. [1978] identified that different segments respond to price promotions in different ways. Rockney [1991] discovered three basic types of effects: effects on discounted items, effects on substitutes and effects on complementary items.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Footnotes
1
In this chapter, we do not consider the update of items such as the introduction of new items and deletion of some items.
 
Literature
go back to reference Agrawal R, Imielinski T, Swami AN (1993) Mining association rules between sets of items in large databases. In: Proceedings of SIGMOD international conference on management of data’93, Washington, DC, pp 207–216 Agrawal R, Imielinski T, Swami AN (1993) Mining association rules between sets of items in large databases. In: Proceedings of SIGMOD international conference on management of data’93, Washington, DC, pp 207–216
go back to reference Agrawal R, Srikant R (1994) Fast algorithms for mining association rules. In: Proceedings of the 20th international conference on very large data bases, Santiago, pp 487–499 Agrawal R, Srikant R (1994) Fast algorithms for mining association rules. In: Proceedings of the 20th international conference on very large data bases, Santiago, pp 487–499
go back to reference Anand S, Hughes J, Bell D, Patrick A (1997) Tackling the cross-sales problem using data mining. In: Proceedings of the 1st Pacific-Asia conference on knowledge discovery and data mining, Singapore, pp 331–343 Anand S, Hughes J, Bell D, Patrick A (1997) Tackling the cross-sales problem using data mining. In: Proceedings of the 1st Pacific-Asia conference on knowledge discovery and data mining, Singapore, pp 331–343
go back to reference Anand S, Patrick A, Hughes JG, Bell DA (1998) A data mining methodology for cross-sales. Knowl Based Syst 10:449–461 Anand S, Patrick A, Hughes JG, Bell DA (1998) A data mining methodology for cross-sales. Knowl Based Syst 10:449–461
go back to reference Blattberg R, Buesing T, Peacock P, Sen S (1978) Identifying the deal prone segment. J Mark Res 15:369–377 Blattberg R, Buesing T, Peacock P, Sen S (1978) Identifying the deal prone segment. J Mark Res 15:369–377
go back to reference Brijs T, Swinnen G, Vanhoof K, Wets G (1999) Using association rules for product assortment decisions: a case study. In: Proceedings of the 5th ACM SIGKDD international conference on knowledge discovery and data mining, San Diego, pp 254–260 Brijs T, Swinnen G, Vanhoof K, Wets G (1999) Using association rules for product assortment decisions: a case study. In: Proceedings of the 5th ACM SIGKDD international conference on knowledge discovery and data mining, San Diego, pp 254–260
go back to reference Brijs T, Goethals B, Swinnen G, Vanhoof K, Wets G (2000) A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model. In: Proceedings of the tth ACM SIGKDD international conference on knowledge discovery and data mining, Boston, pp 300–304 Brijs T, Goethals B, Swinnen G, Vanhoof K, Wets G (2000) A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model. In: Proceedings of the tth ACM SIGKDD international conference on knowledge discovery and data mining, Boston, pp 300–304
go back to reference Chen Y, Huang TC, Chang S (2008) A novel approach for discovering retail knowledge with price information from transaction databases. Expert Syst Appl 34:2350–2359 Chen Y, Huang TC, Chang S (2008) A novel approach for discovering retail knowledge with price information from transaction databases. Expert Syst Appl 34:2350–2359
go back to reference Han J, Pei J, Yin Y (2000) Mining frequent patterns without candidate generation. In: Proceedings of SIGMOD international conference on management of data, Dallas, pp 1–12 Han J, Pei J, Yin Y (2000) Mining frequent patterns without candidate generation. In: Proceedings of SIGMOD international conference on management of data, Dallas, pp 1–12
go back to reference Hinkle C (1965) The strategy of price deals. Harv Bus Rev 43:75–85 Hinkle C (1965) The strategy of price deals. Harv Bus Rev 43:75–85
go back to reference Hermann S (1989) Price management. Elsevier Science, Amsterdam Hermann S (1989) Price management. Elsevier Science, Amsterdam
go back to reference Hruschka H, Lukanowicz M, Buchta C (1989) Cross-category sales promotion effects. J. Retailing and co Elsevier Science Publishers B.V. Hruschka H, Lukanowicz M, Buchta C (1989) Cross-category sales promotion effects. J. Retailing and co Elsevier Science Publishers B.V.
go back to reference Peckham JO (1973) The wheel of marketing. Nielsen, Northbrook Peckham JO (1973) The wheel of marketing. Nielsen, Northbrook
go back to reference Robertas D (2008) Analysis of academic results for informatics course improvement using association rule mining. In: Proceedings of ISD’08, Paphos, pp 357–363 Robertas D (2008) Analysis of academic results for informatics course improvement using association rule mining. In: Proceedings of ISD’08, Paphos, pp 357–363
go back to reference Rockney GW (1991) Assessing the impact of retail price promotions on product substitution, complementary purchase, and interstore sales displacement. J Mark 55(2):17–28 Rockney GW (1991) Assessing the impact of retail price promotions on product substitution, complementary purchase, and interstore sales displacement. J Mark 55(2):17–28
go back to reference Wang K, Su M (2002) Item selection by “Hub-Authority” profit ranking. In: Proceedings of the 8th ACM SIGKDD international conference on knowledge discovery and data mining, Edmonton, pp 652–657 Wang K, Su M (2002) Item selection by “Hub-Authority” profit ranking. In: Proceedings of the 8th ACM SIGKDD international conference on knowledge discovery and data mining, Edmonton, pp 652–657
go back to reference Wong RC, Fu AW, Wang K (2003) MPIS: maximal-profit item selection with cross-selling considerations. In: Proceedings of the 3rd IEEE international conference on data mining, Melbourne, pp 371–378 Wong RC, Fu AW, Wang K (2003) MPIS: maximal-profit item selection with cross-selling considerations. In: Proceedings of the 3rd IEEE international conference on data mining, Melbourne, pp 371–378
Metadata
Title
Quantitatively Evaluating the Effects of Price Promotions Using Data Mining
Authors
Min Gan
Honghua Dai
Copyright Year
2013
Publisher
Springer New York
DOI
https://doi.org/10.1007/978-1-4614-4951-5_39

Premium Partner