Professor of Omnichannel Marketing
Marketing strategy, analytics and practice, from social media and digital marketing to retail and branding.

About
I am a Full Professor of Omnichannel Marketing at Vrije Universiteit Amsterdam and a Distinguished Visiting Scholar at King’s College London. My research sits at the intersection of marketing strategy and omnichannel analytics. I study how social media, online reviews, retail dynamics and digital advertising shape consumer behavior and firm performance across channels.
I am Associate Editor at the Journal of the Academy of Marketing Science, Journal of Interactive Marketing and Journal of Retailing, and sit on the editorial boards of the Journal of Marketing, International Journal of Research in Marketing, Journal of Business Research and Journal of Advertising Research. I am a Research Fellow at the Tinbergen Institute and ABRI, and a member of AMA, EMAC and INFORMS.
Research
Large-scale data, meta-analytic methods and field experiments, applied to digital and physical environments.
How consumers navigate physical and digital touchpoints. Pricing, channel strategy and retail innovation.
Owned social media effectiveness, influencer marketing and brand ecosystem positioning.
How electronic word of mouth is created, seen and evaluated, and what it does to sales.
Inclusive marketing, front-of-package labeling and sustainability in brand strategy.
Meta-analysis, empirical modeling and field experiments on marketing questions.
Brand positioning, reputational risk online and the financial side of brand safety.
Publications
Bernritter, S., Danatzis, I., Möller-Herm, J., and Sotgiu, F.
International Journal of Research in Marketing, forthcoming
Zhang, Y., Ikonen, I., Eelen, J., and Sotgiu, F.
Journal of the Academy of Marketing Science, 1–30
Liadeli, G., Sotgiu, F., and Verlegh, P.
Journal of Marketing, 87(3), 406–427
ABRI Best Paper Award 2023 · Don Lehmann Award runner-up 2024 · Top 5% Altmetric
Bernritter, S., Verlegh, P., Schartman, N., Gruber, V., and Sotgiu, F.
Journal of Advertising, 50(3), 262–270
Bernritter, S., Sotgiu, F., and Ketelaar, P.
Journal of the Academy of Marketing Science
Babić Rosario, A., De Valck, K., and Sotgiu, F.
Journal of the Academy of Marketing Science, 48(3), 422–448
Ikonen, I., Sotgiu, F., Aydinli, A., and Verlegh, P.W.J.
Journal of the Academy of Marketing Science, 48(3), 360–383
Finalist, AMS Sheth Foundation Best Paper Award 2021 · Winner, AMA Marketing and Public Policy Conference 2019
Babić Rosario, A., Sotgiu, F., De Valck, K., and Bijmolt, T.
Journal of Marketing Research, June, 296–318
Lead article · Top 5% Altmetric · Finalist, Weitz-Winer-O’Dell Award 2021
Sotgiu, F. and Gielens, K.
Journal of Marketing Research, December, 784–800
ABRI Best Paper Award 2016
Krafft, M., Goetz, O., Mantrala, M., Sotgiu, F., and Tillmanns, S.
Journal of Retailing, 91(4), 569–585
William Davidson Honorable Mention 2017
Liadeli, G., Sotgiu, F., Rapezzi, M., and Verlegh, P.W.J.
Revise and resubmit at Journal of Marketing Research · MSI Working Paper No. 24-143
Liadeli, G., Sotgiu, F., Verlegh, P., and Lombardo, S.
Best Paper in Track Award, Winter AMA 2020
Sotgiu, F., Babić Rosario, A., Fossen, B.L., and Ludwig, S.
Electronic word of mouth (eWOM) has long been theorized as a fundamentally peer-driven process, an arena of human-to-human communication in which consumers generate, interpret, and transmit marketplace meaning. That foundation is now shifting. Artificial intelligence (AI) is learning from vast corpora of reviews, algorithmically filtering and summarizing them, and generating evaluative content that can substitute for direct peer exchange. Drawing on text analysis of Reddit discussions and in-depth interviews with 14 academic and industry experts, we reconceptualize eWOM as a hybrid influence infrastructure in which human and algorithmic actors jointly shape marketplace persuasion. We introduce a disruption gradient that captures escalating degrees of AI involvement, from AI as eWOM learner, to curator, to creator, and advance 31 research questions for understanding eWOM in the age of AI.
Babić Rosario, A., Sotgiu, F., and Besharat, A.
Amaral, C., Ikonen, I., Olk, D., and Sotgiu, F.
Do front-of-package nutrition labels change what people buy over the long run? Using a difference-in-differences model on five million purchases from 4,000 consumers across two major retailers, we track the effect of Nutri-Score implementation in online grocery environments from 2019 to 2023. Preliminary results show consumers purchased less healthy products after the label’s introduction (+14 kcal per item, p = .004), raising questions for policymakers and retailers about the real-world impact of nutritional nudges.
Recognition
Teaching
Marketing Science
Presenting in Academia
Course catalogue
Marketing / Marketing Management
Practice: case slides, quizzes and the Marketing Decision StudioStrategic Marketing
Digital Marketing and Metrics
Marketing (Master, LUISS)
Data-Driven Marketing (LUISS 2022–2023)
Marketing Science (PhD, HEC 2008–2012)
Marketing Models for Decision Making (HEC 2008-2015)
PhD level. Companion website for the meta-analysis session of the Marketing Science course.
Executive format, on request.
Companion website to Montecchi and Sotgiu (2026) on video analysis in marketing research, with code, decision trees and a reviewer checklist.
Speaking
Available for conferences, company sessions and academic seminars. Talks are tailored to the audience, from boardrooms to doctoral consortia.
Talks and workshops for Bosch · Carrefour · Danone · GfK · KPN · Patagonia · P&G · Rabobank · Roland Berger · Unilever · VODW
Request a talkContact
For research collaboration, talks, executive training and PhD sponsporing.