Julian Runge

About Julian Runge

Julian Runge, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at Humboldt-Universität zu Berlin, specializes in the field of Technology and consumer behavior, applied behavioral economics, marketing analytics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Packaging Up Media Mix Modeling: An Introduction to Robyn's Open-Source Approach

Personalized Game Design for Improved User Retention and Monetization in Freemium Mobile Games

COVID-19 Demand Shocks Revisited: Did Advertising Technology Help Mitigate Adverse Consequences for Small and Midsize Businesses?

“Dark patterns” in online services: a motivating study and agenda for future research

Algorithmic assortative matching on a digital social medium

Price promotions and “freemium” app monetization

It’s time to close the experimentation gap in advertising: Confronting myths surrounding ad testing

Privacy-centric digital advertising: Implications for research

Julian Runge Information

University

Position

Researcher in Marketing

Citations(all)

639

Citations(since 2020)

442

Cited By

382

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Julian Runge Skills & Research Interests

Technology and consumer behavior

applied behavioral economics

marketing analytics

Top articles of Julian Runge

Packaging Up Media Mix Modeling: An Introduction to Robyn's Open-Source Approach

arXiv preprint arXiv:2403.14674

2024/3/8

Julian Runge
Julian Runge

H-Index: 9

Personalized Game Design for Improved User Retention and Monetization in Freemium Mobile Games

Available at SSRN 4653319

2023/12/4

COVID-19 Demand Shocks Revisited: Did Advertising Technology Help Mitigate Adverse Consequences for Small and Midsize Businesses?

arXiv preprint arXiv:2307.09035

2023/7/18

Julian Runge
Julian Runge

H-Index: 9

“Dark patterns” in online services: a motivating study and agenda for future research

Marketing Letters

2023/3

Julian Runge
Julian Runge

H-Index: 9

Algorithmic assortative matching on a digital social medium

Information Systems Research

2022/12

Julian Runge
Julian Runge

H-Index: 9

Ruizhi Zhang
Ruizhi Zhang

H-Index: 3

Price promotions and “freemium” app monetization

Quantitative Marketing and Economics

2022/7/12

Julian Runge
Julian Runge

H-Index: 9

Jonathan Levav
Jonathan Levav

H-Index: 19

It’s time to close the experimentation gap in advertising: Confronting myths surrounding ad testing

Business Horizons

2022/7/1

Privacy-centric digital advertising: Implications for research

Customer Needs and Solutions

2022/6

Julian Runge
Julian Runge

H-Index: 9

Price Discrimination and Big Data: Evidence from a Mobile Puzzle Game

Available at SSRN 3952016

2021/10/28

The role of randomized control trials in online demand generation: Exploratory evidence from Facebook

Proceedings of the International Conference on Information Systems (ICIS)

2021/9/27

Julian Runge
Julian Runge

H-Index: 9

Experimentation and performance in advertising: An observational survey of firm practices on Facebook

Expert Systems with Applications

2020/11/15

Julian Runge
Julian Runge

H-Index: 9

Applications of Advanced Analytics to the Promotion of Freemium Goods

2020/10/6

Julian Runge
Julian Runge

H-Index: 9

Predicting revenues with the multiplier heuristic

Available at SSRN 3546017

2020/2/28

Nikita Kozodoi
Nikita Kozodoi

H-Index: 3

Julian Runge
Julian Runge

H-Index: 9

See List of Professors in Julian Runge University(Humboldt-Universität zu Berlin)

Co-Authors

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