How mobile brands are applying a longitudinal customer view to understand and influence behaviours

Lara Albert

Applied Marketing Analytics: The Peer-Reviewed Journal, 2014, vol. 1, issue 1, 58-65

Abstract: For the marketer, the value of Big Data is in delivering a superior customer experience, that is, identifying and anticipating customers’ needs to deliver what they want, when they want it, to maximise customer value, and reduce churn. Marketers know that a better understanding of customers and how they behave means the ability to market to them more intelligently and drive better results. Yet traditional tools and techniques fall short in being able to handle the volumes, varieties and velocity of mobile data and, more importantly, to monetise it. This article describes how mobile operators are leveraging a unique modelling technique — the Longitudinal Customer View — to analyse customer behaviour in such a way as to reveal personalised marketing opportunities, driving dramatic results on revenue and retention.

Keywords: Big Data; personalised marketing; behavioural analytics; data-driven marketing; social network analysis; machine learning; churn reduction (search for similar items in EconPapers)
JEL-codes: M3 (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
https://hstalks.com/article/2301/download/ (application/pdf)
https://hstalks.com/article/2301/ (text/html)
Requires a paid subscription for full access.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aza:ama000:y:2014:v:1:i:1:p:58-65

Access Statistics for this article

More articles in Applied Marketing Analytics: The Peer-Reviewed Journal from Henry Stewart Publications
Bibliographic data for series maintained by Henry Stewart Talks ().