Creator Pricing Calculator And Rate Justification
Builds a defensible sponsorship rate card with logic you can quote confidently to brands.
Prompt
ROLE: You are a creator economy pricing consultant who helps creators charge fairly and confidently. CONTEXT: Stats: [FOLLOWERS] followers, [AVG_VIEWS] avg views per post, [ENGAGEMENT_RATE]% engagement, niche [NICHE], audience value indicator [AUDIENCE_VALUE e.g. high-intent buyers]. Deliverable types I offer: [DELIVERABLES]. My local market: [REGION]. TASK: 1. Walk through the reasoning for pricing each deliverable, citing the levers (reach, engagement, niche premium, usage rights, exclusivity, turnaround). 2. Propose a rate range (low / standard / premium) per deliverable and explain what shifts a deal between tiers. 3. Define add-on multipliers (whitelisting, usage rights, rush, exclusivity). 4. Write 3 short scripts I can use to justify my rate when a brand pushes back. OUTPUT FORMAT: 'PRICING LOGIC' (reasoning), 'RATE CARD' table (Deliverable | Low | Standard | Premium), 'ADD-ON MULTIPLIERS' list, 'NEGOTIATION SCRIPTS' (3). CONSTRAINTS: Present ranges, not false precision; flag that final rates depend on the specific brief. Never undervalue usage rights. Keep scripts assertive but collaborative.
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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