# Jm Topic Selection

> Use when choosing or sharpening a research question for the Journal of Marketing (JM) — testing whether it is substantive, managerially/societally relevant, and JM-fit (vs. JMR, Marketing Science, or JCR). Locks the question; it does not build the conceptual logic (jm-theory-development) or frame the contribution (jm-contribution-framing).

- Skill: `thedixitjain/jm-topic-selection` (Agent Skill)
- Install (CLI): `npx skillmds add thedixitjain/jm-topic-selection`
- Raw SKILL.md: https://api.skillmd.com/api/skills/thedixitjain/jm-topic-selection/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: thedixitjain (https://skillmd.com/u/thedixitjain)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/thedixitjain/jm-topic-selection

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# Substantive Topic Selection (jm-topic-selection)

## When to trigger

- You have a dataset, a phenomenon, or a managerial puzzle but no sharp JM-fit question
- You are unsure whether the idea belongs in JM versus JMR, Marketing Science, or JCR
- A coauthor says "this is interesting" but no one can name who outside academia should care
- Your question feels like "X also matters in setting Y" (a new-context risk)

## The JM fit test

JM exists to publish **the most impactful, thought-leading substantive research in the marketing discipline** — knowledge about **real-world marketing questions** useful to scholars, educators, managers, policy makers, consumers, and other societal stakeholders. A JM-fit question must clear three bars at once:

1. **Substantive importance** — it is about a real, consequential marketing phenomenon (a market, a customer, a brand, a channel, a policy, a societal outcome), not a methodological curiosity.
2. **New insight** — it offers a *compelling new understanding*, not a replication of existing theory or an application of known findings to a fresh context. JM explicitly rejects "merely applies an existing set of findings to a new context."
3. **Dual relevance** — it bridges the scholarly and the practical: a manager, policy maker, or society can act differently because of the answer. This is required, not optional.

JM is a **"big tent"** on data and champions an **empirics-first** stance: a question can start from a striking real-world phenomenon and let the empirics lead, rather than forcing a theory-first template. This is a legitimate, even encouraged, route into JM.

## Sharpen the question

- Name the **decision maker** and the **decision** your answer changes (brand manager, CMO, regulator, platform, consumer).
- State the **phenomenon** in one sentence a practitioner would recognize.
- Identify the **outcome that matters** (sales, CLV, welfare, equity, trust, well-being) — not just a psychological process.
- Pressure-test novelty: "If a reviewer says 'we already know this, you just changed the setting,' what is my answer?"

## Is it JM — or a sibling?

| Signal                                                        | Likely venue        |
|---------------------------------------------------------------|---------------------|
| Substantive marketing insight a manager/policy maker can use  | **JM**              |
| Core contribution is a new method, measure, or model property | JMR                 |
| Core contribution is an analytical/structural model           | Marketing Science   |
| Core contribution is interdisciplinary consumer-behavior theory | JCR               |
| General-management question, not marketing-specific           | Out of scope (management journals) |

## Worked example: sharpening a dataset into a JM question

*Starting point (data-first, unsharpened):* "We have loyalty-program transaction data from a grocery chain — does personalization increase spending?"

*JM-sharp version:* "When does personalized promotion depth build profitable purchase habits versus teach customers to wait for deals — and which segments should a retail CMO exempt from targeting altogether?"

The sharpened question names a genuine tension in customer management, an outcome managers actually track (margin-adjusted customer lifetime value, not clicks), and a concrete decision (whom to target, whom to leave alone). The vague version invites the new-context verdict; the sharp one promises marketing knowledge that ends in a prescription.

## Early screening questions

Answer these honestly before investing in design — they mirror how JM's first readers triage:

- Could you brief a CMO or a regulator on this question in ninety seconds and hold their interest without mentioning your data?
- Would the answer genuinely surprise a well-read marketing scholar, or only re-confirm intuition in fresh clothing?
- Does the phenomenon exist at market scale — across categories, customer bases, or platforms — so the evidence can travel beyond one setting?
- Can the big-tent toolkit (experiment, field, survey, secondary, qualitative) plausibly deliver credible evidence within your time and access constraints?

## Checklist

- [ ] One-sentence substantive question a practitioner recognizes
- [ ] Named decision maker + decision the answer changes
- [ ] Outcome that matters to managers/policy/society identified
- [ ] Novelty defended against the "new-context replication" challenge
- [ ] Fit confirmed as JM (not JMR / Marketing Science / JCR / a management journal)
- [ ] Data feasibility sketched (big-tent: experiment / field / survey / secondary / qualitative)

## Anti-patterns

- **New-context replication**: "Effect X, already shown, now in industry/country Y."
- **Method-first framing**: leading with an estimator or model rather than a phenomenon.
- **Process-only**: a psychological mechanism with no consequential marketing outcome.
- **No actionable audience**: nobody outside academia changes a decision.

## Output format

```
【Substantive question】[one sentence]
【Decision maker / decision changed】[...]
【Outcome that matters】sales / CLV / welfare / well-being / ...
【Novelty vs. new-context replication】[defense]
【JM fit vs. JMR / Mktg Sci / JCR】fit: [...]
【Empirics-first viable?】yes/no — phenomenon: [...]
【Next step】jm-theory-development
```

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**Source:** [`brycewang-stanford/Awesome-Journal-Skills`](https://github.com/brycewang-stanford/Awesome-Journal-Skills) → `Journal-of-Marketing-Skills/skills/jm-topic-selection/SKILL.md`