What is he best known for?
The fields of study he is best known for:
- Statistics
- Marketing
- Advertising
His primary scientific interests are in Marketing, Purchasing, Advertising, Econometrics and Consumer behaviour.
His Marketing research is multidisciplinary, incorporating elements of Specification and Duration.
His Purchasing research incorporates themes from E-commerce, Variation, Key and Shopper marketing.
The Key study combines topics in areas such as Purchasing process, Sample and Microeconomics.
His study in Econometrics is interdisciplinary in nature, drawing from both Probabilistic logic and Online search.
His work carried out in the field of Consumer behaviour brings together such families of science as Customer relationship management, Direct marketing, Revenue and Process management.
His most cited work include:
- Modeling Loss Aversion and Reference Dependence Effects on Brand Choice (643 citations)
- On the Depth and Dynamics of Online Search Behavior (416 citations)
- Dynamic Conversion Behavior at E-Commerce Sites (384 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Econometrics, Marketing, Purchasing, Customer lifetime value and Customer base.
His Econometrics research is multidisciplinary, incorporating perspectives in New product development, Statistics, Process and Consumer behaviour.
His studies in Marketing integrate themes in fields like Advertising and Portfolio.
His biological study spans a wide range of topics, including Variety, Pareto principle and Variation.
He has included themes like Customer equity and Customer intelligence in his Customer lifetime value study.
His Customer base research is multidisciplinary, relying on both Discrete time and continuous time and Operations research.
He most often published in these fields:
- Econometrics (26.88%)
- Marketing (26.25%)
- Purchasing (20.00%)
What were the highlights of his more recent work (between 2015-2019)?
- Marketing (26.25%)
- Customer lifetime value (18.13%)
- Variety (7.50%)
In recent papers he was focusing on the following fields of study:
Peter S. Fader mainly focuses on Marketing, Customer lifetime value, Variety, Customer base and Microeconomics.
Many of his research projects under Marketing are closely connected to Devaluation and Geographical distance with Devaluation and Geographical distance, tying the diverse disciplines of science together.
His Purchasing research is multidisciplinary, incorporating elements of Pareto principle, Data mining and Information retrieval.
Customer lifetime value overlaps with fields such as Econometrics and Point estimation in his research.
He studied Econometrics and Aggregate that intersect with Customer relationship management.
His work in the fields of Microeconomics, such as Dynamic pricing and Consumer choice, intersects with other areas such as Ticket.
Between 2015 and 2019, his most popular works were:
- Customer Acquisition via Display Advertising Using Multi-Armed Bandit Experiments (84 citations)
- In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (26 citations)
- Multiattribute Loss Aversion and Reference Dependence: Evidence from the Performing Arts Industry (20 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Marketing
- Finance
His primary areas of investigation include Marketing, Customer lifetime value, Customer equity, Customer relationship management and Customer base.
His works in Marketing management, Business marketing, Marketing research, Marketing mix and Return on marketing investment are all subjects of inquiry into Marketing.
His Customer lifetime value research integrates issues from Customer to customer, Customer reference program and Customer profitability.
His Customer equity study spans across into subjects like Industrial organization, Shareholder value, Value and Data type.
His Customer relationship management study incorporates themes from Variety and Service.
The study incorporates disciplines such as Pareto principle, Purchasing and Information retrieval in addition to Customer base.
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