Peter Fader

Q: What Schools Are Affiliated With Peter Fader

Peter Fader is affiliated with the following schools: Stanford University, Massachusetts Institute of Technology, University of Pennsylvania

Peter Fader's AcademicInfluence.com Rankings

Peter Fader

Business

#234

World Rank

#256

Historical Rank

#110

USA Rank

Marketing

#36

World Rank

#36

Historical Rank

#17

USA Rank

business Degrees

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Business

Peter Fader's Degrees

Masters Operations Research Stanford University
Bachelors Electrical Engineering Stanford University

Why Is Peter Fader Influential?

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According to Wikipedia, Peter S. Fader is the Frances and Pei-Yuan Chia Professor of Marketing at The Wharton School of the University of Pennsylvania. His research is about the analysis of behavioral data to forecast customer shopping/purchasing activities.

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Peter Fader's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Modeling Loss Aversion and Reference Dependence Effects on Brand Choice (1993) (867)
On the Depth and Dynamics of Online Search Behavior (2004) (592)
Dynamic Conversion Behavior at E-Commerce Sites (2004) (541)
RFM and CLV: Using Iso-Value Curves for Customer Base Analysis (2005) (523)
Counting Your Customers the Easy Way: An Alternative to the Pareto/NBD Model (2005) (444)
An Exploratory Look at Supermarket Shopping Paths (2005) (390)
Excess Behavioral Loyalty for High-Share Brands: Deviations from the Dirichlet Model for Repeat Purchasing (1993) (294)
Modeling Consumer Choice among SKUs (1996) (293)
Capturing evolving visit behavior in clickstream data (2004) (279)
Testing Behavioral Hypotheses Using an Integrated Model of Grocery Store Shopping Path and Purchase Behavior (2009) (259)
Modeling Browsing Behavior at Multiple Websites (2004) (241)
Customer Acquisition via Display Advertising Using Multi-Armed Bandit Experiments (2016) (207)
Path Data in Marketing: An Integrative Framework and Prospectus for Model Building (2009) (191)
Probability Models for Customer-Base Analysis (2009) (180)
Choice Models and Customer Relationship Management (2005) (178)
Power and Goal Setting in Channel Negotiations (1986) (177)
Fast-Track: Article Using Advance Purchase Orders to Forecast New Product Sales (2002) (165)
A Cross-Category Analysis of Category Structure and Promotional Activity for Grocery Products (1990) (148)
Customer-Base Analysis in a Discrete-Time Noncontractual Setting (2009) (139)
How to project customer retention (2007) (128)
An Elimination by Aspects Model of Consumer Response to Promotion Calibrated on UPC Scanner Data (1990) (110)
Accounting for Heterogeneity and Nonstationarity in a Cross-Sectional Model of Consumer Purchase Behavior (1993) (103)
Understanding Service Retention within and across Cohorts using Limited Information (2008) (98)
Research Note - The Traveling Salesman Goes Shopping: The Systematic Deviations of Grocery Paths from TSP Optimality (2009) (96)
Modeling Hedonic Portfolio Products: A Joint Segmentation Analysis of Music Compact Disc Sales (2001) (93)
Portfolio Dynamics for Customers of a Multiservice Provider (2011) (92)
A Bayesian Lifetime Model for the “Hot 100” Billboard Songs (2001) (91)
In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (2017) (91)
Estimating Nonlinear Parameters in the Multinomial Logit Model (1992) (88)
Media Exposure through the Funnel: A Model of Multi-Stage Attribution (2012) (86)
A Dynamic Changepoint Model for New Product Sales Forecasting (2004) (84)
New Perspectives on Customer "Death" Using a Generalization of the Pareto/NBD Model (2011) (84)
Customer-Base Valuation in a Contractual Setting: The Perils of Ignoring Heterogeneity (2010) (83)
The Traveling Salesman Goes Shopping: The Systematic Deviations of Grocery Paths from TSP-Optimality (2008) (82)
An Empirical Comparison of New Product Trial Forecasting Models (1998) (81)
Forecasting Repeat Sales at CDNOW: A Case Study (2001) (79)
Count Models Based on Weibull Interarrival Times (2008) (79)
Uncovering Patterns in Cybershopping (2001) (76)
Introduction to the Special Issue on the Emergence and Impact of User-Generated Content (2012) (75)
A Bivariate Timing Model of Customer Acquisition and Retention (2008) (71)
The relationship between the marketing mix and share of category requirements (1996) (66)
From Business Intelligence to Competitive Intelligence: Inferring Competitive Measures Using Augmented Site-Centric Data (2011) (64)
Valuing Subscription-Based Businesses Using Publicly Disclosed Customer Data (2016) (60)
Bayesian Inference for the Negative Binomial Distribution via Polynomial Expansions (2002) (53)
Stockpiling Points in Linear Loyalty Programs (2015) (53)
Model Selection Using Database Characteristics: Developing a Classification Tree for Longitudinal Incidence Data (2013) (48)
Implicit Coalitions in a Generalized Prisoner's Dilemma (1988) (47)
Multiattribute Loss Aversion and Reference Dependence: Evidence from the Performing Arts Industry (2017) (45)
Fusing Aggregate and Disaggregate Data with an Application to Multiplatform Media Consumption (2013) (45)
Forecasting new product trial in a controlled test market environment (2003) (44)
A Note on Deriving the Pareto/NBD Model and Related Expressions (2005) (42)
The value of simple models in new product forecasting and customer-base analysis (2005) (38)
Which Visits Lead to Purchases? Dynamic Conversion Behavior at e-Commerce Sites (2000) (37)
A note on modelling underreported Poisson counts (2000) (36)
Stochastic Models of Buyer Behavior (2014) (34)
Customer-Based Corporate Valuation for Publicly Traded Noncontractual Firms (2018) (32)
Modeling the 'Pseudodeductible' in Insurance Claims Decisions (2006) (32)
The Role of Price Tiers in Advance Purchasing of Event Tickets (2008) (32)
Estimating CLV using aggregated data: The Tuscan Lifestyles case revisited (2007) (31)
Aggregation Bias in Sponsored Search Data: The Curse and the Cure (2011) (27)
Integrating the Dirichlet-multinomial and multinomial logit models of brand choice (1993) (27)
Customer-Base Analysis with Discrete-Time Transaction Data (2004) (26)
Designing and Evaluating Dynamic Pricing Policies for Major League Baseball Tickets (2018) (23)
Incorporating Time-Invariant Covariates into the Pareto/NBD and BG/NBD Models (2007) (23)
An Integrated Model of Grocery Store Shopping Path and Purchase Behavior (2007) (22)
A Parsimonious Model of SKU Choice: Familiarity-based Reinforcement and Response Sensitivity (1999) (22)
Marketing Models for the Customer-Centric Firm (2017) (21)
A note on an integrated model of customer buying behavior (2002) (19)
Dynamic Changepoints Revisited: An Evolving Process Model of New Product Sales (2008) (19)
Objective vs. Online Ratings: Are Low Correlations Unexpected and Does It Matter? A Commentary on de Langhe, Fernbach, and Lichtenstein (2016) (15)
Pricing Theater Seats: The Value of Price Commitment and Monotone Discounting (2017) (14)
Forecasting Trial Sales of New Consumer Packaged Goods (2001) (14)
Investigating the Properties of the Eskin/Kalwani & Silk Model of Repeat Buying for New Products (2000) (14)
A Cross-Cohort Changepoint Model for Customer-Base Analysis (2016) (13)
On aggregation bias in sponsored search data: existence andimplications (2012) (13)
When worlds collide: The implications of panel data-based choice models for consumer behavior (1994) (12)
Customer-base analysis using repeated cross-sectional summary (RCSS) data (2016) (9)
Applied Probability Models in Marketing Research: Introduction (2001) (9)
Filling Seats at a Theater : Estimating the Impact of Posted Prices and Dynamic Discounts (2012) (9)
Market Positioning Using Cross-Reward Effects in a Coalition Loyalty Program (2017) (8)
“How to Project Customer Retention” Revisited: The Role of Duration Dependence (2018) (8)
V(CLV): Examining Variance in Models of Customer Lifetime Value (2016) (8)
‘Children of the HMM’: Modeling Longitudinal Customer Behavior at Hulu.Com (2011) (8)
Computing P(alive) Using the BG/NBD Model (2008) (7)
A Joint Segmentation Model of Consumers and Products Applied to the Sales of Music Albums (1999) (6)
The Pareto/NBD is Not a Lost-for-Good Model (2014) (6)
What Matters in Managerial Judgments of Customer Value (2004) (5)
Modeling the Evolution of Repeat Buying (2004) (5)
Implementing the BG/NBD Model for Customer Base Analysis in Excel (2005) (5)
Simple probability models for computing CLV and CE (2015) (5)
What’s Wrong With This CLV Formula? (5)
Deriving an Expression for P (X(t )= x) Under the Pareto/NBD Model (2006) (5)
The value of simple models in new product forecasting and customer-base analysis: Research Articles (2005) (4)
Customer-Base Analysis on a 'Data Diet': Model Inference Using Repeated Cross-Sectional Summary (RCSS) Data (2013) (4)
Modeling the Evolution of Customers' Service Portfolios (2008) (4)
A Spreadsheet-Literate Non-Statistician's Guide to the Beta-Geometric Model (2014) (4)
Clv: More than Meets the Eye (2006) (4)
Deriving the Likelihood Expression for Holdout Data for the Pareto/NBD Model (2007) (3)
In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (2017) (3)
Customer Centricity (2020) (3)
Evaluating the Effectiveness of Dynamic Pricing Strategies on MLB Single-Game Ticket Revenue (2015) (3)
Forecasting New Product Sales in a Controlled Test Market Environment (2003) (3)
New Perspectives on Customer 'Death' Using a Generalization of the Pareto/NBD Model (2011) (2)
How to Project Patient Persistency (2007) (2)
Path Data in Marketing: An Integrative Framework and Prospectus for Model-Building (2007) (2)
A Note on Implementing the Fader and Hardie "CDNOW Model" (2001) (2)
Exploring the Equivalence of Two Common Mixture Models for Duration Data (2019) (1)
When Giving Your Customers Less Is More: Not All Are Worthy (2013) (1)
Effective strategies for oligopolistic games (1987) (1)
A Correlated Pareto/NBD Model (2015) (1)
Editorial - Report of the Marketing Science Editorial Review Committee (2014) (1)
Probability Models for Customer-Base (2015) (1)
Limited Dynamic Forecasting of Hidden Markov Models (2018) (1)
The Customer Centricity Playbook (2018) (1)
A self-instructional package: neck conformer. (1985) (1)
Valuing Non-Contractual Firms Using Common Customer Metrics (2017) (1)
The Gamma-Gamma Model of Monetary Value (2013) (1)
The Customer-Base Audit (2022) (0)
An Introduction to Applied Probability Models (2006) (0)
Non-Financial Metrics, DAU, MAU, and DAU/MAU: An Integrative Framework and Analysis (2022) (0)
Deriving the Conditional PMF of the Pareto/NBD Model (2014) (0)
Estimating Models of Promotion-induced Non-compensatory Choice Behavior Using UPC Scanner Panel Data (2015) (0)
Modeling User Click Behavior in Sponsored Search (2009) (0)
Additional Results for the Pareto/NBD Model (2014) (0)
Erratum to ‘“How to Project Customer Retention” Revisited: The Role of Duration Dependence’ [Journal of Interactive Marketing 43 (2018) 1–16] (2019) (0)
Investigating Recency and Frequency Effects in Customer Base Analysis (2002) (0)
Buy-’Til-You-Die Models for Large Data Sets via Variable Selection (2018) (0)
Do Stakeholder Orientation and Environmental Proactivity Impact Firm Profitability (2017) (0)
A Validation of and Extension to a Non-Parametric Approach to Buy-’Til-You-Die Models (2019) (0)
Comment on “On Estimating Current-customer Equity Using Company Summary Data” (2011) (0)
Engaging Students Through Technology Symposium 2015 Presentation by Peter Fader (2015) (0)
Call for Papers - Special Issue of Marketing Science on User-Generated Content (UGC): Deadline: January 15, 2010 (2009) (0)
Inferring Individual Preferences and Intra-Household Dynamics with Aggregate Data: An Application to Targeted TV Advertising (2021) (0)
A Note on the Relationship Between Promotion Sensitivity and Consumer Specific Variables (2014) (0)
Computing P(X(t, t + s) = x) Under the BG/NBD Model (2014) (0)

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What Schools Are Affiliated With Peter Fader?

Peter Fader is affiliated with the following schools:

Peter Fader's Academic­Influence.com Rankings