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Statistical Methods in Customer Relationship Management
book

Statistical Methods in Customer Relationship Management

by V. Kumar, J. Andrew Petersen
September 2012
Intermediate to advanced
286 pages
8h 7m
English
Wiley
Content preview from Statistical Methods in Customer Relationship Management

Index

accelerated failure time (AFT) model

acquisition discount

acquisition model

actual acquisition probability

AdaCost boosting

AMOS software

analytical methods

ARPRO (Acquisition, Retention, and PROfitability) model

artificial intelligence

average order size

defined

multivariate regression (OLS)

three-stage least squares estimation in

balancing acquisition. See also retention modeling

modeling framework

SAS code

SAS output

B2B firm

contractual basis

improving acquisition rate

B2C firm

CRM implementation at

improve repurchase rate

bias

binary dependent variable

binary variable

Blogs

CDF. See cumulative distribution function (CDF)

ceiling rate

censoring issues

CLV. See customer lifetime value (CLV)

content communities

contractual business

CRM implementation

at B2C firm

challenges

CLV management framework

fashion retailer

focal firm background

implementation

at IBM

background

implementing CLV management framework

cross-buying

determine odds ratio

effect of acquisition channels on

identifying drivers

implementation

logistic regression

cutoff value

probability function

results from

predicted vs. actual cross-buy

transaction behavior

variables for model

cross-sectional data

cumulative distribution function (CDF)

customer acquisition

drivers of

joint distribution of acquisition time and duration

mixing distribution for univariate function

models

issues addressed in

review

questionniire

Sarmanov family of multivariate distributions

defining density functions and bounded mixing functions ...

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Publisher Resources

ISBN: 9781118349199Purchase book