Optimising revenue models for local news publishers – the economic effects of metered models.
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| Authors: | Hansen, Nele1 (AUTHOR) nele.hansen@iu.org, König, Ulf2 (AUTHOR), Hennig-Thurau, Thorsten3 (AUTHOR), Bomnüter, Udo4 (AUTHOR) |
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| 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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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: ent DbLabel: Entrepreneurial Studies Source An: 191331996 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hansen%2C+Nele%22">Hansen, Nele</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> nele.hansen@iu.org</i><br /><searchLink fieldCode="AR" term="%22König%2C+Ulf%22">König, Ulf</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hennig-Thurau%2C+Thorsten%22">Hennig-Thurau, Thorsten</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bomnüter%2C+Udo%22">Bomnüter, Udo</searchLink><relatesTo>4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Media+Business+Studies%22">Journal of Media Business Studies</searchLink>. Feb2026, Vol. 23 Issue 1, p19-46. 28p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Economic+impact%22">Economic impact</searchLink><br />*<searchLink fieldCode="DE" term="%22Business+models%22">Business models</searchLink><br />*<searchLink fieldCode="DE" term="%22Conjoint+analysis%22">Conjoint analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Monetization%22">Monetization</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+measurement%22">Statistical measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Local+news+broadcasting%22">Local news broadcasting</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ent&AN=191331996 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/16522354.2025.2485796 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 19 Subjects: – SubjectFull: Economic impact Type: general – SubjectFull: Business models Type: general – SubjectFull: Conjoint analysis Type: general – SubjectFull: Monetization Type: general – SubjectFull: Statistical measurement Type: general – SubjectFull: Local news broadcasting Type: general Titles: – TitleFull: Optimising revenue models for local news publishers – the economic effects of metered models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hansen, Nele – PersonEntity: Name: NameFull: König, Ulf – PersonEntity: Name: NameFull: Hennig-Thurau, Thorsten – PersonEntity: Name: NameFull: Bomnüter, Udo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 16522354 Numbering: – Type: volume Value: 23 – Type: issue Value: 1 Titles: – TitleFull: Journal of Media Business Studies Type: main |
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