Skip to main content

2018 | OriginalPaper | Buchkapitel

A Study of App User Behaviours: Transitions from Freemium to Premium

verfasst von : Christopher Mulligan, Carlito Vera Cruz, Donagh Healy, David Murphy, Margeret Hall, Quinn Nelson, Simon Caton

Erschienen in: HCI in Business, Government, and Organizations

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

With the increased digitization of businesses and consumers, it is now not unusual for consumer businesses to solely engage with their customers through digital channels. Many such app driven businesses adopt a freemium business model, whereby use of the entry level service is free, whilst provision of premium content and services is for a fee. With no person to person contact with their customers, these businesses must rely on consumer data analytics to guide decisions on consumer marketing to incentivize users to adopt the premium services. This business scenario provides the motivation for this research project. In our research, using machine learning classification techniques, the team identified the key customer app usage attributes which were the main predictors of future paying subscribers.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

Literatur
2.
Zurück zum Zitat Sifa, R., Hadiji, F., Runge, J., Drachen, A., Kersting, K., Bauckhage, C.: Predicting purchase decisions in mobile free-to-play games. In: Proceedings of AAAI AIIDE (2015) Sifa, R., Hadiji, F., Runge, J., Drachen, A., Kersting, K., Bauckhage, C.: Predicting purchase decisions in mobile free-to-play games. In: Proceedings of AAAI AIIDE (2015)
3.
Zurück zum Zitat Domingos, P.: A few useful things to know about machine learning. Commun. ACM 55(10), 78–87 (2012)CrossRef Domingos, P.: A few useful things to know about machine learning. Commun. ACM 55(10), 78–87 (2012)CrossRef
4.
Zurück zum Zitat Kelleher, J.D., Mac Namee, B., D’Arcy, A.: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies. MIT Press, Cambridge (2015)MATH Kelleher, J.D., Mac Namee, B., D’Arcy, A.: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies. MIT Press, Cambridge (2015)MATH
5.
Zurück zum Zitat McCarty, J.A., Hastak, M.: Segmentation approaches in data-mining: a comparison of RFM, CHAID, and logistic regression. J. Bus. Res. 60(6), 656–662 (2007)CrossRef McCarty, J.A., Hastak, M.: Segmentation approaches in data-mining: a comparison of RFM, CHAID, and logistic regression. J. Bus. Res. 60(6), 656–662 (2007)CrossRef
6.
Zurück zum Zitat Weiss, G.M.: Mining with rarity: a unifying framework. ACM SIGKDD Explor. Newslett. 6(1), 7–19 (2004)CrossRef Weiss, G.M.: Mining with rarity: a unifying framework. ACM SIGKDD Explor. Newslett. 6(1), 7–19 (2004)CrossRef
7.
Zurück zum Zitat Chawla, N., Japkowicz, N., Kolcz, A.: Special issue on learning from imbalanced datasets, sigkdd explorations. In: ACM SIGKDD (2004) Chawla, N., Japkowicz, N., Kolcz, A.: Special issue on learning from imbalanced datasets, sigkdd explorations. In: ACM SIGKDD (2004)
8.
Zurück zum Zitat Burez, J., Van den Poel, D.: Handling class imbalance in customer churn prediction. Expert Syst. Appl. 36(3), 4626–4636 (2009)CrossRef Burez, J., Van den Poel, D.: Handling class imbalance in customer churn prediction. Expert Syst. Appl. 36(3), 4626–4636 (2009)CrossRef
9.
Zurück zum Zitat Cui, D., Curry, D.: Prediction in marketing using the support vector machine. Mark. Sci. 24(4), 595–615 (2005)CrossRef Cui, D., Curry, D.: Prediction in marketing using the support vector machine. Mark. Sci. 24(4), 595–615 (2005)CrossRef
10.
Zurück zum Zitat Huang, B., Kechadi, M.T., Buckley, B.: Customer churn prediction in telecommunications. Expert Syst. Appl. 39(1), 1414–1425 (2012)CrossRef Huang, B., Kechadi, M.T., Buckley, B.: Customer churn prediction in telecommunications. Expert Syst. Appl. 39(1), 1414–1425 (2012)CrossRef
11.
12.
Zurück zum Zitat Xia, G.-E., Jin, W.-D.: Model of customer churn prediction on support vector machine. Syst. Eng.-Theory Pract. 28(1), 71–77 (2008)CrossRef Xia, G.-E., Jin, W.-D.: Model of customer churn prediction on support vector machine. Syst. Eng.-Theory Pract. 28(1), 71–77 (2008)CrossRef
13.
Zurück zum Zitat Hung, S.-Y., Yen, D.C., Wang, H.-Y.: Applying data mining to telecom churn management. Expert Syst. Appl. 31(3), 515–524 (2006)CrossRef Hung, S.-Y., Yen, D.C., Wang, H.-Y.: Applying data mining to telecom churn management. Expert Syst. Appl. 31(3), 515–524 (2006)CrossRef
14.
Zurück zum Zitat Bin, L., Peiji, S., Juan, L.: Customer churn prediction based on the decision tree in personal handyphone system service. In: 2007 International Conference on Service Systems and Service Management, pp. 1–5. IEEE (2007) Bin, L., Peiji, S., Juan, L.: Customer churn prediction based on the decision tree in personal handyphone system service. In: 2007 International Conference on Service Systems and Service Management, pp. 1–5. IEEE (2007)
15.
Zurück zum Zitat Han, S.H., Lu, S.X., Leung, S.C.: Segmentation of telecom customers based on customer value by decision tree model. Expert Syst. Appl. 39(4), 3964–3973 (2012)CrossRef Han, S.H., Lu, S.X., Leung, S.C.: Segmentation of telecom customers based on customer value by decision tree model. Expert Syst. Appl. 39(4), 3964–3973 (2012)CrossRef
16.
Zurück zum Zitat van Wezel, M., Potharst, R.: Improved customer choice predictions using ensemble methods. Eur. J. Oper. Res. 181(1), 436–452 (2007)CrossRef van Wezel, M., Potharst, R.: Improved customer choice predictions using ensemble methods. Eur. J. Oper. Res. 181(1), 436–452 (2007)CrossRef
18.
Zurück zum Zitat López, V., Fernández, A., García, S., Palade, V., Herrera, F.: An insight into classification with imbalanced data: empirical results and current trends on using data intrinsic characteristics. Inf. Sci. 250, 113–141 (2013)CrossRef López, V., Fernández, A., García, S., Palade, V., Herrera, F.: An insight into classification with imbalanced data: empirical results and current trends on using data intrinsic characteristics. Inf. Sci. 250, 113–141 (2013)CrossRef
19.
Zurück zum Zitat Lantz, B.: Machine Learning with R. Packt Publishing Ltd., Birmingham (2013) Lantz, B.: Machine Learning with R. Packt Publishing Ltd., Birmingham (2013)
20.
Zurück zum Zitat Rosset, S., Neumann, E., Eick, U., Vatnik, N., Idan, I.: Evaluation of prediction models for marketing campaigns. In: Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 456–461. ACM (2001) Rosset, S., Neumann, E., Eick, U., Vatnik, N., Idan, I.: Evaluation of prediction models for marketing campaigns. In: Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 456–461. ACM (2001)
21.
Zurück zum Zitat Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C., Wirth, R.: CRISP-DM 1.0 step-by-step data mining guide (2000) Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C., Wirth, R.: CRISP-DM 1.0 step-by-step data mining guide (2000)
Metadaten
Titel
A Study of App User Behaviours: Transitions from Freemium to Premium
verfasst von
Christopher Mulligan
Carlito Vera Cruz
Donagh Healy
David Murphy
Margeret Hall
Quinn Nelson
Simon Caton
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-91716-0_31