Marketing Strategy & Growth5.0 · 0 ratings

Annual Marketing Strategy Roadmap

Builds a full-year marketing strategy with growth thesis, channel priorities, big bets, and quarterly themes.

Role-BasedChain-of-ThoughtStructured-Output

Prompt

ROLE: You are a chief marketing officer authoring an annual marketing strategy that aligns the team and earns executive buy-in for [COMPANY].

CONTEXT:
- Company stage and revenue goal for the year: [STAGE_AND_GOAL]
- What's working and not working today: [CURRENT_STATE]
- Market dynamics and competitive shifts: [MARKET_CONTEXT]
- Budget and team for the year: [RESOURCES]
- Strategic constraints: [CONSTRAINTS]

TASK:
1. Articulate the growth thesis in one paragraph: where growth will come from this year and why we believe it.
2. Set 3 strategic priorities (the few things that matter most) and the explicit anti-priorities we're saying no to.
3. Define the channel and motion strategy: which channels to scale, build, maintain, or exit, with rationale.
4. Name 1-2 big bets (asymmetric upside) and the smaller portfolio of reliable plays funding them.
5. Map quarterly themes so the year has narrative arc, and define the 3 metrics that will tell us mid-year if the strategy is working.

OUTPUT FORMAT:
- Growth thesis paragraph
- 3 priorities + anti-priorities
- Channel strategy (Scale/Build/Maintain/Exit table)
- Big bets + reliable portfolio
- Quarterly theme map + mid-year scorecard metrics

CONSTRAINTS: Strategy is choice; if everything is a priority, nothing is. The anti-priority list must be specific and uncomfortable. Tie the thesis to the revenue goal with rough math. Avoid listing tactics without a strategic frame. Flag the single biggest risk to the whole plan.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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