AI Prompts for Marketing Professionals

Creative brief builder: from messy kickoff notes to one page

Kickoff happened, the notes are chaos, and creative starts Monday. Get the single-page brief that prevents three rounds of rework.

You are a senior brand strategist writing a creative brief. I will paste my kickoff notes and background material. Produce:

A) A ONE-PAGE BRIEF with labeled fields: business objective (with the number it is supposed to move), audience (described as observed behavior, not demographics alone), the single-minded proposition (ONE sentence — if it needs a comma to hold two ideas, it is two propositions), reasons to believe (drawn only from the material I provided), mandatories and constraints, deliverables and channels, and the KPI with its measurement window.
B) A GAP LIST — every brief field that could not be filled from my notes, each phrased as the exact question to ask the stakeholder, not a vague 'clarify audience'.
C) A 3-line CREATIVE SPRINGBOARD — tensions or insights actually present in my notes worth exploring, each labeled a hypothesis.

My material: [PASTE: kickoff notes, background docs, objectives, audience info, constraints, deadlines]

Rules: Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it. Mark every claim I should verify in my analytics or source systems before it is published or presented. Never include customer personally identifiable information or client-confidential terms.

Objective to KPI tree: make it measurable before it launches

The objective slide says 'drive awareness and sales.' Before the plan locks, force objectives that can actually be measured — and agree the tree in advance.

You are a marketing effectiveness lead making a campaign measurable. I will paste the stated objective, the campaign outline, budget, channels, and the measurement tools we have. Produce:

A) REWRITTEN OBJECTIVES — each vague objective restated as specific and measurable (metric, target, window). Use only targets I provide; where none exists, write "target needed" and name the historical basis I could derive one from.
B) A KPI TREE as a table — north-star metric, then primary KPIs, then leading indicators per channel — each row with the data source I named and that source's known bias (platform-reported vs independently verified).
C) THREE GUARDRAIL METRICS that would catch this campaign succeeding on paper while failing in reality (e.g., blended CAC drift, brand-term cannibalization, unsubscribe spikes) — each phrased as a decision rule: 'if [metric] crosses [level] then [action]'.

My inputs: [PASTE: objective as stated, campaign outline, budget, channels, measurement stack, any targets or historical baselines]

Rules: Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it. Mark every claim I should verify in my analytics or source systems before it is published or presented. Never include customer personally identifiable information or client-confidential terms.

Segment hypotheses from the data you already have

Everyone wants personas; you have a CRM export and campaign history. Build evidence-based segment hypotheses before anyone invents imaginary people.

You are an audience strategist who builds segments from live data, not stock personas. I will describe the fields I actually have and the behavioral differences I have observed. Produce:

A) A SEGMENT HYPOTHESIS TABLE: segment name, defining criteria using only fields I listed, the evidence for it in my data versus what is still assumption (two separate columns), and estimated size — writing "size not provided — pull the count" where I gave none.
B) For the top THREE segments: the message angle each one's evidence supports, and the channel where my data says they are actually reachable.
C) A VALIDATION PLAN: the cheapest test per segment hypothesis, existing-data reanalysis before any live spend, with what a confirming and a killing result each look like.

My data: [DESCRIBE: CRM/ESP fields available, engagement and purchase patterns observed, acquisition sources, anything known about high-value customers]

Rules: Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it. Mark every claim I should verify in my analytics or source systems before it is published or presented. Never include customer personally identifiable information or client-confidential terms.

Channel plan red-team: find the failure before the spend does

The channel plan is drafted and everyone likes it — which is exactly when it should be red-teamed. Run the adversarial pass before the money moves.

You are a skeptical marketing consultant hired to find the flaws in a campaign plan before launch. I will paste the plan. Produce:

A) FAILURE MODES r

Competitor campaign teardown: counter, exploit, or ignore

A competitor just launched loudly and leadership wants a reaction. Decompose what they are doing and whether it deserves one — before the reflexive counter-campaign.

You are a competitive strategist running a campaign teardown. I will paste what is publicly observable about a competitor's campaign. Produce:

A) A T

Post-campaign wash-up that tells the truth

Campaign is done, the readout is due. Write the retro that says what the numbers support — not the one that launders the result into a win.

You are a marketing effectiveness analyst writing an honest post-campaign review. I will paste the objectives, targets, and results. Produce:

A) A VE

Brand-voice-locked rewrite with a change log

The draft is fine but it does not sound like the brand — and 'make it more on-voice' is not feedback anyone can act on. Make the edit auditable.

You are a brand editor enforcing a voice guide. I will paste our voice guidelines and a draft. Produce:

A) The REWRITE — preserving every fact, claim

Message hierarchy: from feature list to claim ladder

Product marketing handed you nine features. Build the benefit ladder and find out which claims have proof — before legal or reality does it for you.

You are a messaging strategist building a claim ladder. I will paste the feature list and whatever evidence we hold. Produce:

A) A LADDER TABLE per f

Copy test matrix: variants that actually test something

You need five ad or subject variants — not five synonyms. Build variants mapped to hypotheses so the winner teaches you something reusable.

You are a conversion copywriter designing a copy test, not just writing options. I will paste the control and context. Produce:

A) A TEST MATRIX: eac

Landing page teardown, ranked by fix value

The page converts worse than it should. Get a section-by-section teardown with fixes ranked by value — not a vague 'improve clarity above the fold'.

You are a conversion copy specialist tearing down a landing page. I will paste the page copy and context. Produce:

A) A SECTION-BY-SECTION TABLE: sec

Subject line lab: psychological drivers, not synonyms

The send is tomorrow and 'Newsletter #47' will not cut it. Generate subject options grouped by driver, with honest over-promise flags.

You are an email copywriter running a subject line lab. I will describe the email and audience. Produce:

A) TWELVE SUBJECT LINES in a table, grouped

Atomize one asset into channel-native pieces

The whitepaper, webinar, or flagship post is done. Turn it into a week of channel-native content — without the copy-paste truncation everyone can smell.

You are a content repurposing editor. I will paste the source asset or its key points, plus my channels. Produce:

A) An ATOMIZATION MAP: 8-12 derivat

Weekly performance read: verdict first, story second

Monday morning, accounts are live, and someone will ask 'how's it going?' by 10am. Turn the exports into a verdict-first read that survives follow-ups.

You are a performance marketing analyst writing the weekly account read. I will paste this period's metrics and context. Produce:

A) A VERDICT — on t

Budget reallocation: the marginal-dollar argument

There is pressure to move budget into the 'winning' channel. Build the reallocation case that respects diminishing returns and attribution bias.

You are a media strategist making a budget reallocation call. I will paste spend and results by channel over time. Produce:

A) A MARGINAL READ per ch

Creative test post-mortem: did the winner really win?

The test 'has a winner' and everyone wants to scale it. Interrogate the result before it becomes the new control.

You are an experimentation-minded media analyst reviewing a creative or copy test. I will paste the setup and results. Produce:

A) A VERDICT — real w