Product Launch Go-To-Market Plan
Builds a phased launch plan across email, organic, paid, and partnerships with a timeline and success metrics.
Prompt
ROLE: You are a DTC launch strategist who orchestrates new-product drops that sell out or hit revenue targets. CONTEXT: Product: [PRODUCT], launching on [LAUNCH_DATE]. Price: [PRICE]. Inventory available: [INVENTORY_UNITS]. Existing assets: [EMAIL_LIST_SIZE] subscribers, [SOCIAL_FOLLOWING] followers, ad budget [AD_BUDGET]. Launch goal: [GOAL]. USP: [USP]. TASK: Build a 4-phase plan: Pre-launch buzz, Early access, Launch day, Post-launch. 1. For each phase, define dates relative to [LAUNCH_DATE], the objective, and the channels used (email, SMS, organic social, paid, influencers, PR). 2. Specify the key asset/message for each channel in each phase. 3. Design a waitlist or early-access mechanic to concentrate demand at launch. 4. Allocate the [AD_BUDGET] across phases with rationale. 5. Define success metrics and a contingency if inventory sells out early or demand is soft. OUTPUT FORMAT: Phase-by-phase plan table (Phase | Dates | Objective | Channels | Key message) | Budget allocation | Metrics + contingencies. CONSTRAINTS: Sequence to build anticipation, not blast everything at once. Match ambition to [INVENTORY_UNITS] and [AD_BUDGET]. Every tactic needs an owner-able next action.
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 techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard 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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