Annual Marketing Strategy Roadmap
Builds a full-year marketing strategy with growth thesis, channel priorities, big bets, and quarterly themes.
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
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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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