Exploratory Research: Introducing Consumer Stability as an Informing Customer Segmentation Feature

Static simplicity has encapsulated the academic and industry application of customer segmentation ever since its introduction to the wider consumer behaviour discussion in the 1950s. Evolving traditional analytical methods to address their coarseness, this research provides justification for the int...

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Main Author: Lankfer, Jonathan
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2020
Online Access:https://eprints.nottingham.ac.uk/70035/
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author Lankfer, Jonathan
author_facet Lankfer, Jonathan
author_sort Lankfer, Jonathan
building Nottingham Research Data Repository
collection Online Access
description Static simplicity has encapsulated the academic and industry application of customer segmentation ever since its introduction to the wider consumer behaviour discussion in the 1950s. Evolving traditional analytical methods to address their coarseness, this research provides justification for the introduction of consumer stability to extend and conceivably displace lifetime and single-visit basket analysis which saturates the existing segmentation conversation. Principal component analysis is applied to demonstrate consumer stability’s importance, represented in this research by temporally lagged RFM measures within an FMCG scenario. A k-Means clustering model is implemented to extend this exploratory research, providing an example of how latent behaviours could provide an opportunity for marketers to enhance their output by evaluating temporal consumption pathways.
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format Dissertation (University of Nottingham only)
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institution University of Nottingham Malaysia Campus
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language English
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spelling nottingham-700352023-06-21T14:13:58Z https://eprints.nottingham.ac.uk/70035/ Exploratory Research: Introducing Consumer Stability as an Informing Customer Segmentation Feature Lankfer, Jonathan Static simplicity has encapsulated the academic and industry application of customer segmentation ever since its introduction to the wider consumer behaviour discussion in the 1950s. Evolving traditional analytical methods to address their coarseness, this research provides justification for the introduction of consumer stability to extend and conceivably displace lifetime and single-visit basket analysis which saturates the existing segmentation conversation. Principal component analysis is applied to demonstrate consumer stability’s importance, represented in this research by temporally lagged RFM measures within an FMCG scenario. A k-Means clustering model is implemented to extend this exploratory research, providing an example of how latent behaviours could provide an opportunity for marketers to enhance their output by evaluating temporal consumption pathways. 2020-12-01 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/70035/1/14321456_%20BUSI4374_Dissertation_2021_2022.pdf Lankfer, Jonathan (2020) Exploratory Research: Introducing Consumer Stability as an Informing Customer Segmentation Feature. [Dissertation (University of Nottingham only)]
spellingShingle Lankfer, Jonathan
Exploratory Research: Introducing Consumer Stability as an Informing Customer Segmentation Feature
title Exploratory Research: Introducing Consumer Stability as an Informing Customer Segmentation Feature
title_full Exploratory Research: Introducing Consumer Stability as an Informing Customer Segmentation Feature
title_fullStr Exploratory Research: Introducing Consumer Stability as an Informing Customer Segmentation Feature
title_full_unstemmed Exploratory Research: Introducing Consumer Stability as an Informing Customer Segmentation Feature
title_short Exploratory Research: Introducing Consumer Stability as an Informing Customer Segmentation Feature
title_sort exploratory research: introducing consumer stability as an informing customer segmentation feature
url https://eprints.nottingham.ac.uk/70035/