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98
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95
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Economics letters
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1
A cross-cohort changepoint model for customer-base analysis
Gopalakrishnan, Arun
;
Bradlow, Eric T.
;
Fader, Peter
- In:
Marketing science : the marketing journal of the …
36
(
2017
)
2
,
pp. 195-213
Persistent link: https://www.econbiz.de/10011672435
Saved in:
2
Essays on digital marketing strategies : an analytical investigation
Gecer, Gökhan
-
2021
Persistent link: https://www.econbiz.de/10012799160
Saved in:
3
The role of lifetime activity cues in customer base analysis
Hoppe, Daniel
;
Wagner, Udo
- In:
Journal of business research : JBR
67
(
2014
)
5
,
pp. 983-989
Persistent link: https://www.econbiz.de/10010364062
Saved in:
4
When is the best time to reactivate your inactive customers?
Ma, Shaohui
;
Tan, Hui
;
Fang, Shu
- In:
Marketing letters : a journal of research in marketing
26
(
2015
)
1
,
pp. 81-98
Persistent link: https://www.econbiz.de/10010490144
Saved in:
5
Predicting customer churn from valuable B2B customers in the logistics industry : a case study
Chen, Kuanchin
;
Hu, Ya-Han
;
Hsieh, Yi-Cheng
- In:
Information systems and e-business management : ISeB
13
(
2015
)
3
,
pp. 475-494
Persistent link: https://www.econbiz.de/10011373599
Saved in:
6
Improving customer profit predictions with customer mindset metrics through multiple overimputation
Venkatesan, Rajkumar
;
Bleier, Alexander
;
Reinartz, Werner J.
- In:
Journal of the Academy of Marketing Science
47
(
2019
)
5
,
pp. 771-794
Persistent link: https://www.econbiz.de/10012107317
Saved in:
7
Predictive performance of customer lifetime value models in e-commerce and the use of non-financial data
Jasek, Pavel
;
Vrana, Lenka
;
Sperkova, Lucie
;
Smutny, Zdenek
- In:
Prague economic papers : a bimonthly journal of …
28
(
2019
)
6
,
pp. 648-669
Persistent link: https://www.econbiz.de/10012158799
Saved in:
8
Understanding consumer behavior during and after a Pandemic : implications for customer lifetime value prediction models
Tudoran, Ana Alina
;
Thomsen, Charlotte Hjerrild
; …
- In:
Journal of business research : JBR
174
(
2024
),
pp. 1-19
Persistent link: https://www.econbiz.de/10014548015
Saved in:
9
The role of time-varying contextual factors in latent Attrition models for customer base analysis
Bachmann, Patrick
;
Meierer, Markus
;
Näf, Jeffrey
- In:
Marketing science : the marketing journal of the …
40
(
2021
)
4
,
pp. 783-809
Persistent link: https://www.econbiz.de/10012623449
Saved in:
10
Leveraging purchase regularity for predicting customer behavior the easy way
Reutterer, Thomas
;
Platzer, Michael
;
Schröder, Nadine
- In:
International journal of research in marketing : IJRM ; …
38
(
2021
)
1
,
pp. 194-215
Persistent link: https://www.econbiz.de/10012506525
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