Frontiers of Marketing Data Science Journal

At the Forefront of the Marketing Data Revolution


The Frontiers of Marketing Data Science Journal is a biannual digital publication creating a bridge between the ideas of leading researchers and practitionersand key marketing and advertising industry decision makers.    

Unlike similar journals, The Frontiers of Marketing Data Science Journal is focused on new, practically oriented approaches to optimising marketing and advertising decisions in a data-driven way. A key objective of the Journal is to facilitate a real-world impact of new ideas by targeting decision makers in the wider industry.


Frequency of Publication

The Frontiers of Marketing Data Science Journal is published biannually (twice a year). 

Target Audience

The Journal is aimed towards industry professionals, researchers and academics who are engaged, interested, and active in marketing, advertising and related technology fields.

Scope of Contributions

Contributions should have a clear focus on data, measurement, optimisation and analytics in the marketing and advertising context, and should be relevant for both practitioners and decision makers.

Accepted Formats

The Journal will publish articles and papers, covering a wide range of marketing and advertising data applications with original methodologies, innovative research and applications, and critical assessments of current technology.

The Journal will accept original, unpublished works of significance and translated works of original nature.

Submit Your Paper


The submission deadline for the 1st issue of the publication is closed. However, authors can submit articles continuously.
Deadline to submit a paper for the 2nd issue is April 15th.

Submission Length

The length of the main manuscript is limited to 4000 words and 8 pages (whatever limit is reached).


Submissions are accepted only in English language.

Editorial Process

Article Selection and Review Process

To be selected for publication, each article must go through a formal review process. The process relies on the Committee of Associate Editors to recommend articles to the Executive Editorial Board.

Executive Editorial Board

The Executive Editorial Board consists from well-known Data Science influencers in the marketing and advertising world:

◆ Kajal Mukhopadhyay, PhD - Data Science Lead, Marketing Effectiveness, Verizon, USA
◆ Joshua Koran - Managing Director, DMP, Sizmek, USA
◆ Dr. Ralph Wirth - Director, Digital Innovation Hub, Schaeffler, Germany
◆ Ruben Cuevas, PhD - Assistant Professor, Telematic Engineering Department, Universidad Carlos III Madrid (UC3M), Spain

If you would like to get in contact, please email us at