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Optimising revenue models for local news publishers – the economic effects of metered models.

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Bibliographic Details
Authors:	Hansen, Nele¹ (AUTHOR) nele.hansen@iu.org, König, Ulf² (AUTHOR), Hennig-Thurau, Thorsten³ (AUTHOR), Bomnüter, Udo⁴ (AUTHOR)
Source:	Journal of Media Business Studies. Feb2026, Vol. 23 Issue 1, p19-46. 28p.
Subject Terms:	Economic impact, Business models, Conjoint analysis, Monetization, Statistical measurement, Local news broadcasting
Abstract:	Local news publishers increasingly face the challenge to develop viable revenue models. In this article we aim to optimise the three central metered model effects, namely the lead-in, cannibalisation and advertising effect. After a conceptualisation of the effects, we conduct two choice-based conjoint studies and a simulation to measure the effects empirically. We find that samples of 40, 50 and 60 free articles per month lead to an overall increase in total revenue, with 40 free articles showing the strongest positive impact. Conversely, offering 20 or 30 articles per month results in an overall decrease across all business model scenarios for local news publishers. [ABSTRACT FROM AUTHOR]
Database:	Entrepreneurial Studies Source
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Abstract:	Local news publishers increasingly face the challenge to develop viable revenue models. In this article we aim to optimise the three central metered model effects, namely the lead-in, cannibalisation and advertising effect. After a conceptualisation of the effects, we conduct two choice-based conjoint studies and a simulation to measure the effects empirically. We find that samples of 40, 50 and 60 free articles per month lead to an overall increase in total revenue, with 40 free articles showing the strongest positive impact. Conversely, offering 20 or 30 articles per month results in an overall decrease across all business model scenarios for local news publishers. [ABSTRACT FROM AUTHOR]
ISSN:	16522354
DOI:	10.1080/16522354.2025.2485796