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Digital Marketing Analytics (Lanz)

Publications

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Libai, Barak et al. (2025) ‘Influencer marketing unlocked: Understanding the value chains driving the creator economy’, Journal of the Academy of Marketing Science [Preprint]. Available at: https://doi.org/10.1007/s11747-024-01073-2.

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Gilch, Alexandros et al. (2025) ‘“Small Data”: Inference with Occasionally Observed States’, Management Science [Preprint].

Goldenberg, Jacob et al. (2024) ‘Targeting Nearby Influencers: the Acceleration of Natural Triadic Closure by Leveraging Interconnectors’, Journal of Marketing, 88(5), pp. 111–130. Available at: https://doi.org/10.1177/00222429231223420.

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Pethig, Florian et al. (2024) ‘Behavior Toward Newcomers and Contributions to Online Communities’, MIS Quarterly [Preprint]. Available at: https://doi.org/10.25300/misq/2024/17759.

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Beichert, Maximilian et al. (2024) ‘Revenue Generation through Influencer Marketing’, Journal of Marketing, 88(4), pp. 40–63. Available at: https://doi.org/10.1177/00222429231217471.

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Lanz, Andreas et al. (2024) ‘Buying Future Endorsements from Prospective Influencers on User-Generated Content Platforms’, Journal of Marketing Research, 61(5), pp. 839–857. Available at: https://doi.org/10.1177/00222437231207323.

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Weiler, M. et al. (2022) ‘Social Capital Accumulation through Social Media Networks: Evidence from a Randomized Field Experiment and Individual-Level Panel Data’, MIS Quarterly. 24.05.2022, 46(2), pp. 771–812. Available at: https://doi.org/10.25300/misq/2022/16451.

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Lanz, Andreas, Reich, Gregor and Wilms, Ole (2022) ‘Adaptive grids for the estimation of dynamic models’, Quantitative Marketing and Economics, 20, pp. 179–238. Available at: https://doi.org/10.1007/s11129-022-09252-7.

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Lanz, Andreas et al. (2019) ‘Climb or Jump: Status-Based Seeding in User-Generated Content Networks’, Journal of Marketing Research, 56(3), pp. 361–378. Available at: https://doi.org/10.1177/0022243718824081.

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