EXPRESS: Ad Intensity Policies and Content Provision on Revenue-Sharing Content Platforms

Online content platforms monetize user engagement through advertising and share ad revenue with content creators to incentivize content provision. A central design decision for these platforms is the choice of ad intensity policy, which governs how advertising load is determined and shapes creator incentives, content quality, consumer consumption behaviors, and platform profitability. We analyze a model with one platform and two competing content creators to study three ad intensity policies: differentiated advertising (DA), uniform advertising (UA), and creator-set advertising (CA). With symmetric creators and quality-independent marginal ad revenue, UA intensifies quality-based competition among creators and leads to higher revenue-sharing rate, content quality, advertising intensity, and platform profit than DA. Creators benefit more from UA than DA when creator substitutability is low, but may prefer DA when substitutability is high. Compared to DA, CA weakens incentives for content investment, resulting in lower content quality, lower ad intensity, and reduced platform profit; its effects on creators and consumers depend on the degree of creator substitutability. Extensions show that relaxing the benchmark assumptions—such as allowing for creator asymmetry or quality-dependent marginal ad revenue—can overturn UA’s advantage and make DA more profitable, highlighting that no single ad intensity policy is universally optimal.

Authors

Publication Details

Journal
Journal of Marketing Research
Published
2026-05-11
DOI
https://doi.org/10.1177/00222437261452611
Primary Topic
Digital Platforms and Economics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EXPRESS: Ad Intensity Policies and Content Provision on Revenue-Sharing Content Platforms

Yuansheng Wei, Lin Tian, Baojun Jiang
Journal of Marketing Research
Digital Platforms and Economics
article

EXPRESS: Ad Intensity Policies and Content Provision on Revenue-Sharing Content Platforms

Yuansheng Wei, Lin Tian, Baojun Jiang
article en

Abstract

Online content platforms monetize user engagement through advertising and share ad revenue with content creators to incentivize content provision. A central design decision for these platforms is the choice of ad intensity policy, which governs how advertising load is determined and shapes creator incentives, content quality, consumer consumption behaviors, and platform profitability. We analyze a model with one platform and two competing content creators to study three ad intensity policies: differentiated advertising (DA), uniform advertising (UA), and creator-set advertising (CA). With symmetric creators and quality-independent marginal ad revenue, UA intensifies quality-based competition among creators and leads to higher revenue-sharing rate, content quality, advertising intensity, and platform profit than DA. Creators benefit more from UA than DA when creator substitutability is low, but may prefer DA when substitutability is high. Compared to DA, CA weakens incentives for content investment, resulting in lower content quality, lower ad intensity, and reduced platform profit; its effects on creators and consumers depend on the degree of creator substitutability. Extensions show that relaxing the benchmark assumptions—such as allowing for creator asymmetry or quality-dependent marginal ad revenue—can overturn UA’s advantage and make DA more profitable, highlighting that no single ad intensity policy is universally optimal.

Journal of Marketing Research
National Natural Science Foundation of China
Openalex Percentile: Top 5%
Digital Platforms and Economics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

EXPRESS: Ad Intensity Policies and Content Provision on Revenue-Sharing Content Platforms — Yuansheng Wei, Lin Tian, et al. · Journal of Marketing Research (2026) | TGRS Research Map | TGRS