arbiter
JournalsPricingAccount

Advertiser Learning in Direct Advertising Markets

Carl F. Mela et al.

Marketing Science2026https://doi.org/10.1287/mksc.2024.0847article
FT50UTD24AJG 4*ABDC A*
Weight
0.50

What the paper says

By pooling information across many advertisers, direct buy ad networks can alleviate advertiser uncertainty about where to place ads, increasing publisher revenue and advertiser welfare.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1287/mksc.2024.0847

Or copy a formatted citation

@article{carl2026,
  title        = {{Advertiser Learning in Direct Advertising Markets}},
  author       = {Carl F. Mela et al.},
  journal      = {Marketing Science},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1287/mksc.2024.0847},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Advertiser Learning in Direct Advertising Markets

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.