Big Data-Driven Marketing: How Machine Learning Outperforms Marketers’ Gut-Feeling
This paper shows how big data can be experimentally used at large scale for marketing purposes at a mobile network operator. We present results from a large-scale experiment in a MNO in Asia where we use machine learning to segment customers for text-based marketing. This leads to conversion rates f...
Main Authors: | Sundsøy, Pål, Bjelland, Johannes, Iqbal, Asif M., Pentland, Alex Paul, de Montjoye, Yves-Alexandre |
---|---|
Other Authors: | Massachusetts Institute of Technology. Media Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Springer-Verlag Berlin Heidelberg
2014
|
Online Access: | http://hdl.handle.net/1721.1/92459 https://orcid.org/0000-0002-8053-9983 https://orcid.org/0000-0001-9086-589X |
Similar Items
-
Improving official statistics in emerging markets using machine learning and mobile phone data
by: Sundsøy, Pål, et al.
Published: (2017) -
Erratum to: Improving official statistics in emerging markets using machine learning and mobile phone data
by: Sundsøy, Pål, et al.
Published: (2017) -
Modeling the Temporal Nature of Human Behavior for Demographics Prediction
by: Felbo, Bjarke, et al.
Published: (2021) -
Modeling the Temporal Nature of Human Behavior for Demographics Prediction
by: Felbo, Bjarke, et al.
Published: (2022) -
Improving Individual Predictions using Social Networks Assortativity
by: Mulders, Dounia, et al.
Published: (2017)