2022
DOI: 10.1057/s41270-022-00195-2
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Engaging in customer citizenship behaviours to predict customer lifetime value

Abstract: The aim of this study is to analyse the research gap of the relationship between customer citizenship behaviour (CCB) and customer lifetime value (CLV) in the customer engagement framework (CE). We discuss how marketing analytics gains information from the digital environment related to data, metrics, and online aspects to predict business performance through motivational drivers and engagement. We divide an entire data sample (306 observations) of telecom service customers using prediction-oriented segmentati… Show more

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Cited by 6 publications
(2 citation statements)
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“…Given the critical role of CLV, numerous studies have worked to elucidate its drivers, which can be broadly divided into organisational and customer-based antecedents [39]. For instance, prediction-oriented models based on customer citizenship behaviours (CCBs) help to predict CLV, since they centre on engaged customers [40]. Moreover, ref.…”
Section: H3o the Governance Dimension (G) Positively Influences CLVmentioning
confidence: 99%
See 1 more Smart Citation
“…Given the critical role of CLV, numerous studies have worked to elucidate its drivers, which can be broadly divided into organisational and customer-based antecedents [39]. For instance, prediction-oriented models based on customer citizenship behaviours (CCBs) help to predict CLV, since they centre on engaged customers [40]. Moreover, ref.…”
Section: H3o the Governance Dimension (G) Positively Influences CLVmentioning
confidence: 99%
“…Moreover, ref. [40] shows that prediction-oriented segmentation only requires a number of segments to determine balanced size segments through the assignment of observations. Prediction-oriented modelling segmentation (POS) constitutes an extension of the PLS distance-based segmentation approach, which enables us to identify hidden segments within an entire sample in a way that considers relationships among both dependent and independent variables.…”
Section: H3o the Governance Dimension (G) Positively Influences CLVmentioning
confidence: 99%