Bruce Hardie

2022

Stochastic Models of Buyer Behavior

Hardie B G S; Sen S; Fader P

In: The History of Marketing Science. 2nd Ed. Winer R & Neslin S (Eds.), pp. 199-251.

2021

Why You Aren’t Getting More from Your Marketing AI

Ascarza E; Ross M; Hardie B G S

Harvard Business Review 2021 Jul/Aug Vol 99:4 p 48-54

2019

Exploring the equivalence of two common mixture models for duration data

Fader P S; Hardie B G S; McCarthy D; Vaidyanathan R

American Statistician 2019 Vol 73:3 p 288-295

2018

In pursuit of enhanced customer retention management: review, key issues, and future directions

Ascarza E; Neslin SA; Netzer O; Anderson Z; Fader PS; Gupta S; Hardie BGS; Lemmens A; Libai A; Neal D; Provost F; Schrift R

Customer Needs and Solutions 2018 Vol 5:1-2 p 65-81

Some customers would rather leave without saying goodbye

Ascarza E; Netzer O; Hardie B G S

Marketing Science 2018 Vol 37:1 p 54-77

2017

Marketing models for the customer-centric firm

Ascarza E; Fader P S; Hardie B G S

in Wierenga B & Van der Lans, R (eds.), Handbook of marketing decision models, 2nd ed Springer, 2017

Valuing subscription-based businesses using publicly disclosed customer data

McCarthy D M; Fader P S; Hardie B G S

Journal of Marketing 2017 Vol 81:1 p 17-35

2016

Customer-base analysis using repeated cross-sectional summary (RCSS) data

Jerath K; Fader P S; Hardie B G S

European Journal of Operational Research 2016 Vol 249:1 p 340-350

2015

Simple probability models for computing CLV and CE

Fader P S; Hardie B G S

in Kumar V, Denish S (eds), Handbook of research on customer equity in marketing, Edward Elgar Publishers, p 77-100

2014

Stochastic models of buyer behaviour

Fader P S; Hardie B G S; Subrata S

in Winer R A & Neslin S A (eds), The History of Marketing Science, World Scientific Publishing, p 165-205, 2014

2013

A joint model of usage and churn in contractual settings

Ascarza E; Hardie B G S

Marketing Science 2013 Vol 32:4 p 570-590

2012

Consumer learning of new binary attribute importance accounting for priors, bias, and order effects

Chylinski M B; Roberts J H; Hardie B G S

Marketing Science 2012 Vol 31:4 p 549-566

2011

New perspectives on customer ‘death’ using a generalization of the pareto/NBD model

Kinshuk J; Fader P S; Hardie B G S

Marketing Science 2011 February Vol 30:5 p 866-880

2010

Analytics for customer engagement

Bijmolt T H A; Leeflang P S H; Block F; Eisenbeiss M; Hardie B G S; Lemmens A; Saffert P

Journal of Service Research 2010 August Vol 13:3 p 341-356

Customer-base analysis in a discrete-time noncontractual setting

Fader P S; Hardie B G S; Shang J

Marketing Science 2010 November-December Vol 29:6 p 1086-1108

Customer-base valuation in a contractual setting: The perils of ignoring heterogeneity

Fader P S; Hardie B G S

Marketing Science 2010 Vol 29:1 p 85-93

2009

Probability models for customer-base analysis

Fader P S; Hardie B G S

Journal of Interactive Marketing 2009 January Vol 23:1 p 61-69

2007

Estimating CLV using aggregated data: The Tuscan Lifestyles case revisited

Fader P S; Hardie B G S; Jerath K

Journal of Interactive Marketing 2007 Summer Vol 21 p 55-71

How to project customer retention

Fader P S; Hardie B G S

Journal of Interactive Marketing 2007 Winter Vol 21 p 76-90

2006

Modeling customer lifetime value

Gupta S; Hanssens D; Hardie B G S; Kahn W; Kumar V; Lin N; Ravishankar N; Sriram S

Journal of Service Research 2006 November Vol 9 p 139-155

2005

Bacon with your eggs?: applications of a new bivariate beta-binomial distribution

Danaher P J; Hardie B G S

American Statistician 2005 Nov Vol 59:4 p 282-286

'Counting your customers' the easy way: an alternative to the Pareto/NBD model

Fader P S; Hardie B G S; Lee K L

Marketing Science 2005 Spring Vol 24:2 p 275-286

RFM and CLV: using iso-value curves for customer-base analysis

Fader P S; Hardie B G S; Lee K L

Journal of Marketing Research 2005 Nov Vol 42:4 p 415-430

The value of simple models in new product forecasting and customer-base analysis

Fader P S; Hardie B G S

Applied Stochastic Models in Business and Industry 2005 Jul-Oct Vol 21:4/5 p 461-473

2004

A dynamic changepoint model for new product sales forecasting

Fader P S; Hardie B G S; Huang C-Y

Marketing Science 2004 Winter Vol 23 p 50-65

2003

Forecasting new product trial in a controlled test market environment

Fader P S; Hardie B G S; Zeithammer R

Journal of Forecasting 2003 Aug Vol 22:5 p 391-410

2002

A note on an integrated model of customer buying behaviour

Fader P S; Hardie B G S

European Journal of Operational Research 2002 Vol 139:3 p 682-687

Bayesian inference for the negative binomial distribution via polynomial expansions

Bradlow E T; Hardie B G S; Fader P S

Journal of Computational and Graphical Statistics 2002 Vol 11:1 p 189-201

2001

Forecasting repeat sales at CDNOW: a case study

Hardie B G S; Fader P S

Interfaces 2001 May/Jun Vol 31:3 Pt 2 p S94-S107

Marketing-mix variables and the diffusion of successive generations of a technological innovation

Danaher P J; Hardie B G S; Putsis W P

Journal of Marketing Research 2001 Nov Vol 38:4 p 501-514

2000

A note on modeling underreported Poisson counts

Fader P S; Hardie B G S

Journal of Applied Statistics 2000 Vol 27:8 p 953-964

1998

An empirical comparison of new product trial forecasting models

Hardie B G S; Fader P S; Wisniewski M

Journal of Forecasting 1998 Jun-Jul Vol 17 p 209-229

1996

Modeling consumer choice among SKUs

Fader P S; Hardie B G S

Journal of Marketing Research 1996 Nov Vol 33:4 p 442-452

Technology adoption: amplifying vs simplifying innovations

Hardie B G S ; Robertson T S; Ross W T

Marketing Letters 1996 Oct Vol 7:4 p 355-369

1993

Modeling loss aversion and reference dependence effects on brand choice

Hardie B G S; Johnson E J; Fader P S

Marketing Science 1993 Fall Vol 12:4 p 378-394

2016

V(CLV): examining variance in models of customer lifetime value

McCarthy D M; Fader P S; Hardie B G S

Social Sciences Research Network