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You are a pragmatic go-to-market strategist. Build a decision-ready marketing plan for {{BUSINESS_OR_PRODUCT}}.
Business context
- Target audience: {{TARGET_AUDIENCE}}
- Primary goal: {{PRIMARY_GOAL}}
- Budget and resources: {{BUDGET_AND_RESOURCES}}
- Market context: {{MARKET_CONTEXT}}
Your task
1. Diagnose the strongest market opportunity and the most important obstacle to the goal.
2. Define a crisp positioning statement, value proposition, and three-message hierarchy grounded in the audience's real buying situation.
3. Prioritize no more than four acquisition or retention channels. For each, explain why it fits, what not to do, and the first test to run.
4. Create a 90-day plan split into three 30-day phases with owners, dependencies, estimated effort, and a measurable exit criterion for each phase.
5. Recommend how to allocate the stated budget and resources. Make trade-offs explicit rather than assuming extra capacity.
6. Define one north-star metric, five supporting KPIs, leading indicators, and stop/continue/scale decision rules.
7. List the five assumptions most likely to invalidate the plan and the fastest way to test each one.
Output format
- Start with a five-bullet executive brief.
- Then use these sections: Diagnosis, Positioning, Channel Bets, 90-Day Roadmap, Budget, Measurement, Risks.
- Use tables for the roadmap, budget, and KPI framework.
- Label missing information as an assumption. Do not invent market statistics or customer evidence.
- End with the three decisions the team must make this week.Want to tailor this template?Add only the details that materially change the result.
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A copy-ready ai marketing plan prompt structure you can use as-is or tailor with your own context.
Keep going only when you need help
The prompt is ready. Use these guides to improve the result.
What this is for
Use it when the output needs to hold up after the chat ends.
A useful marketing plan makes trade-offs. This template gives the model enough commercial context to choose a market position, prioritize channels, sequence experiments, and define what success looks like—without returning a generic list of tactics.
Best for
- Founders preparing a go-to-market plan
- Marketing leads planning a new quarter
- Consultants creating a client strategy
- Teams launching a product or entering a market
You will get
The opportunity, strategic choice, audience, leading channel bet, and primary risk in five bullets.
A phased table with owners, dependencies, effort, and evidence-based exit criteria.
A north-star metric, supporting KPIs, and rules for when to stop, continue, or scale.
Worked example
Example: a lean SaaS launch
See how specific inputs change the shape and usefulness of the response.
Example inputs
- Business or product
- Ledgerly, an AI bookkeeping assistant for independent consultants
- Target audience
- US consultants earning $80k–$250k who manage their own books
- Primary goal
- Reach 500 paid accounts within 90 days
- Budget and resources
- $20k, one growth marketer, and four founder hours per week
- Market context
- Independent consultants rely on spreadsheets; no verified competitor or search-demand data is included
- Lead with ‘close your books without becoming a bookkeeper’ rather than generic automation language.
- Prioritize partner distribution and high-intent search before broad paid social.
- Gate the second 30-day phase on activation and first-week retention—not raw lead volume.
This is useful because it makes a position, names channel trade-offs, and connects spend to evidence. It still needs verified search demand, customer interviews, and baseline conversion data before execution.
Practical guidance
Start a marketing plan with the constraint that changes the choice
A useful first pass begins with one concrete offer, but a decision-ready plan needs the limits that change the answer. Add the audience, desired outcome, available people and budget, and the few market facts you already trust before asking for a 90-day roadmap.
Treat the initial result as a hypothesis map, not evidence. If the model identifies a positioning or channel choice, check the customer signal behind it before allocating spend or changing a public claim.
Practical guidance
Turn a marketing plan into a small set of tests
Do not launch every suggested channel at once. Choose the single bet whose failure would teach you the most, define what evidence would support it, and set a cost or effort cap before execution.
After the first result, return with real conversion data, customer language, and operational limits. Replace the assumptions the plan got wrong instead of asking the assistant to make the original answer sound more certain.
Step-by-step workflow
How to use this prompt well.
- 01
Add the constraints that change the answer
Fill in the audience, outcome, resources, and market facts. Specific constraints produce better prioritization.
- 02
Generate, then challenge the assumptions
Run the prompt once. Review the assumptions and correct anything the model misunderstood before asking for more detail.
- 03
Turn the plan into working assets
Use follow-up prompts to convert approved channel bets into briefs, campaigns, landing pages, and measurement plans.
Prompt anatomy
Why this structure works.
It forces strategic choices
Channel caps and explicit trade-offs prevent the model from producing an indiscriminate tactic list.
It separates facts from assumptions
The prompt asks the model to label uncertainty instead of manufacturing research or customer proof.
It ends in decisions
Owners, exit criteria, and decision rules convert advice into an operating plan a team can execute.
Before you use the result
Run a quick quality check.
A fluent answer is not automatically a correct or responsible one.
Ready-to-use checklist
- The positioning is specific enough that a competitor could disagree with it.
- Channel priorities fit the actual budget, team, audience, and sales motion.
- Every roadmap phase has evidence-based exit criteria—not just a calendar date.
- Facts, assumptions, and recommendations are clearly distinguished.
- The plan identifies what to stop doing as well as what to start.
Better inputs, better judgment
Small choices that improve the result.
Make it stronger
- Replace broad audiences such as ‘small businesses’ with a specific buyer and buying moment.
- Include what has already been tried so the model does not recycle failed tactics.
- Ask for a revised plan after correcting assumptions; do not accept the first draft as market truth.
- Paste only non-sensitive context. Remove customer names, private financials, and unreleased strategy.
Common mistakes
Leaving resources vague
The model will assume a larger team and budget, making the plan look polished but impossible to execute.
Treating the response as research
A model can synthesize your inputs; it cannot replace verified customer interviews or current market data.
Optimizing every channel at once
Focus creates faster evidence. Keep the channel cap unless you genuinely have parallel teams.
Questions, answered
Frequently asked questions.
Can I use this marketing plan prompt for a startup?
Yes. State your current traction, runway, team capacity, and the single milestone that matters most. The resource constraint is especially important for an early-stage company.
Can I use this with different AI assistants?
The instructions are model-agnostic, so you can try the template with a general-purpose AI assistant. Different models and versions may interpret it differently, so test the output and review assumptions and factual claims.
Should I include competitor information?
Include verified competitors, alternatives, and meaningful differences. Avoid asking the model to invent a current competitor analysis if you have not supplied reliable data.
How do I make the plan more specific?
Add evidence: conversion rates, customer objections, past channel results, average contract value, sales cycle, and operational constraints. Include only information you are comfortable sharing with the AI provider.
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