TY  - JOUR
AU  - Vélez Serrano, Daniel
AU  - Ayuso, A.
AU  - Perales-González, C.
AU  - Rodríguez González, Juan Tinguaro
PY  - 2020
DO  - 10.1016/j.knosys.2020.105762
SN  - 0950-7051
UR  - https://hdl.handle.net/20.500.14352/96876
T2  - Knowledge-Based Systems
AB  - Companies typically have to make relevant decisions regarding their clients’ fidelity and retention on the basis of analytical models developed to predict both their churn probability and Net Promoter Score (NPS). Although the predictive capability of...
LA  - eng
M2  - 105762 (16)
PB  - Elsevier
KW  - Churn prediction
KW  - Net promoter score
KW  - Stepwise regression
KW  - WOE variables
TI  - Churn and Net Promoter Score forecasting for business decision-making through a new stepwise regression methodology
TY  - journal article
VL  - 196
ER  -