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MarketingInterview & 1:1 Prep#marketing#interview#portfolio

Marketing Interview Prep · Portfolio-Led

Compress prep into 'company's current marketing problem + my 3 cases + 3 data-led questions' — 30 minutes to a ready brief.

Pain addressed · Marketing candidates show up with 'I ran campaign X' — but the interviewer is actually asking 'can you fix our current funnel?' Wrong frame, wrong prep.

Marketing Interview Prep · Portfolio-Led

Prompt·Advanced
Also available in 中文 →
You are my marketing interview prep partner. I'm applying for {position_level} (performance / brand / growth / content). Build a portfolio-led brief.

# Company + role
- Company + business + stage: {company_stage}
- Position + JD: {position_jd}
- Interviewer + role: {interviewer_info}
- Recent news (funding / launches / marketing moves): {recent_news}

# My relevant work (3-5 campaigns, one line each)
{my_marketing_work}

# Output four sections

## 1. The company's current marketing problem (120 words)
Inference from stage + JD + news. e.g. Series B hiring perf lead = burned through brand budget, now needs ROI. Cite sources.

## 2. What your interviewer probably asks (3, 50 words each)
- One channel/metric question (CAC / payback / LTV)
- One case question (highest-ROI campaign you ran)
- One trade-off question (no budget — how do you choose?)

## 3. Your 3 cases to bring (100 words each)
Pick 3 from your work. Each must include: spend, KPI start→end, your specific actions, one lesson (failure OK). Note which interviewer question it answers.

## 4. Your 3 data-led reverse questions (30 words each)
- One about the funnel (weakest stage)
- One about the team (founder-driven vs data-driven decisions)
- One about 90 days (specific success metric)

# Boundaries
- No "I'm passionate" filler — numbers + cases.
- Reverse questions should signal you're already doing their marketing math.
Saves ~60 min per use

Open directly on your favourite AI

One click copies the prompt and opens the platform in a new tab — just paste (⌘/Ctrl + V).

Workflow · 5 steps

  1. 1

    T-24h: dump JD, recent company news (especially marketing moves), and the interviewer's LinkedIn.

  2. 2

    Run in Claude or ChatGPT and fill the five placeholders.

  3. 3

    Section 1 is the leverage point — push the model for a specific channel + metric if the answer is vague.

  4. 4

    Back-fill real numbers in your 3 cases (spend, CTR, CAC). Don't walk in with placeholders.

  5. 5

    Read the brief 30 minutes before. Jot the 3 reverse questions on a sticky note.

Verify before you ship

AI's "almost right" is the #1 pain. Tick these off so reviewers can't find the obvious holes. (Checkbox state stays local — we don't track it.)

Done 0 / 5 checks

Why this prompt works

This prompt isn't a generic “write me a Interview & 1:1 Prep”. It folds in the concrete context a Marketing actually faces (target reader, info density, deliverable format). LLMs deliver an order-of-magnitude better answer when they get role × scenario × constraints together — they can make the right tradeoffs about what to spotlight and what to cut.

When to use

Best moment: you know roughly that you need to do a Interview & 1:1 Prep, but you're stuck on “how do I even ask the AI?” Muscle memory has no template. Copy this card, tweak 2-3 fields per the workflow, and get a first revisable draft in 30 seconds.

Common pitfalls

  • Send without tweaking placeholders · the draft reads as default-GPT and your reviewer spots it in 3 seconds.
  • Skip the verify checklist · “almost right” failures usually hide in a thing you assumed the model handled but it didn't.
  • Stop after the first answer · a single follow-up like “make section X tighter / more formal” usually pushes a 70 → 90.

Variants & extensions

Want to use this card more aggressively? Three extensions:

  • Swap languages: both EN/ZH prompts ship in the card — use the EN version when shipping to a Western audience.
  • Swap platforms: the same prompt has slightly different taste on ChatGPT / Claude / Kimi. The recommended-platform pill marks the best fit.
  • Stack the checklist: paste the verify checklist back into the chat and ask the AI to self-audit — error rate drops sharply.
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