Marketing Science Submission Guide

Source: Clarivate JCR 2024, INFORMS editorial disclosures (accessed April 2026).

Source: Marketing Science author guidelines.

Use this page when deciding:

• whether the modeling contribution is substantive
• whether modeling rigor is appropriate
• whether quantitative framing is articulated

• a clear modeling contribution
• rigorous identification or structural modeling
• quantitative framing
• empirical-theory integration
• a cover letter establishing the contribution

• Weak modeling contribution.
• Methodological gaps.
• Missing quantitative framing.
• Qualitative-only research without quantitative anchor.

Marketing Science is a flagship quantitative-marketing journal.

Quantitative-marketing standard: the journal differentiates from broader marketing venues by demanding modeling contributions.

Modeling-rigor expectation: editors expect identification strategy or structural modeling.

The 60-70% desk rejection rate: decisive editorial screen.

The strongest Marketing Science cover letters establish:

• the modeling contribution
• the methodological approach
• the quantitative framing
• the central finding

• Is Marketing Science a good journal?

Before upload, run your manuscript through a Marketing Science modeling check.

In our pre-submission review work with quantitative-marketing manuscripts targeting Marketing Science, three patterns generate the most consistent desk rejections.

In our experience, roughly 35% of Marketing Science desk rejections trace to weak modeling contribution. In our experience, roughly 25% involve methodological gaps. In our experience, roughly 20% arise from missing quantitative framing.

• Weak modeling contribution. Editors look for substantive modeling advances. We observe submissions framed as marginal extensions routinely desk-rejected.

• Methodological gaps. Editors expect rigorous identification or structural modeling. We see manuscripts with thin identification routinely returned.

• Missing quantitative framing. Marketing Science specifically expects quantitative-marketing focus. We find papers framed as qualitative-only routinely declined. A Marketing Science modeling check can identify whether the package supports a submission.

Clarivate JCR 2024 bibliometric data places Marketing Science among top quantitative-marketing journals.

In pre-submission diagnostic work for top quantitative-marketing journals, we consistently see four signals that distinguish strong submissions from weak ones. First, the contribution must be modeling-oriented. Second, modeling rigor should be appropriate. Third, quantitative framing should be primary. Fourth, empirical-theory integration should be strong.

The single most consistent feedback class we deliver in pre-submission diagnostics for Marketing Science is the qualitative-versus-modeling distinction. Editors expect modeling contributions. Submissions framed as qualitative-only routinely receive "where is the modeling contribution?" feedback. We coach authors to lead with the modeling question.

Beyond the rubric checks, three pre-submission diagnostic patterns recur most often in the manuscripts we review for Marketing Science. First, manuscripts where the abstract reports findings without modeling framing are flagged. Second, manuscripts where modeling lacks identification or structure are flagged. Third, manuscripts that lack engagement with Marketing Science's recent issues are flagged.

The strongest manuscripts we coach distinguish themselves on three operational behaviors. First, they confine the cover letter to one page. Second, they include a one-sentence elevator pitch. Third, they identify the specific recent Marketing Science articles that this manuscript builds on.

Editorial triage at Marketing Science operates on limited time per manuscript. Editors typically scan abstract, introduction, methodology, and conclusions before deciding whether to invite reviewer engagement. We coach researchers to design abstract, introduction, and conclusions for fast assessment.

Beyond methodology and contribution, Marketing Science weights author-team authority within the quantitative-marketing subfield. Strong submissions reference Marketing Science's recent papers explicitly.

Beyond methodology and contribution, journals at this tier increasingly reward submissions that explicitly position the work within a specific subfield conversation rather than treating the literature as undifferentiated.

The single most consistent feedback class we deliver is the synthesis-versus-survey distinction. A comprehensive survey catalogs recent papers. A synthesis offers an organizing framework. We coach researchers to articulate their organizing argument in one sentence before drafting.

Beyond the rubric checks, three pre-submission diagnostic patterns recur most often. First, manuscripts where the abstract leads with context lose force. Second, manuscripts where the methods lack quantitative rigor are flagged. Third, manuscripts that lack engagement with the journal's recent issues are at risk.