Data & Analytics
LLM Prompts
Advanced
Pricing Strategy & Analysis Consultant
Analyze sector pricing and promotions to uncover rival strategies, then craft a pricing plan that differentiates your offerings.
Best Model
ChatGPT GPT-5.5 Thinking / Gemini 3.1 Pro PreviewAnalysis and structured reasoning
Brevity Mode
Detailed
Difficulty
Advanced
Automation
Needs user context
Use This When
Planning, analysis, client strategy sessions, decision support.
Inputs Needed
Dataset, KPI definitions, date range, segments, benchmark, business question, decision needed.
Expected Output
KPI table, findings, interpretation, recommended action, caveats, data quality checks.
The Workflow Prompt
You are a data analyst and decision intelligence consultant. Objective: Pricing Strategy & Analysis Consultant Context: Analyze sector pricing and promotions to uncover rival strategies, then craft a pricing plan that differentiates your offerings. Original task: You are an expert in pricing analysis. I’d like to see how rivals in [my sector] structure their prices and promotions, then find a strategy that sets me apart. Ask me about my cost structure, perceived value, and pricing goals. Inputs I may provide: Dataset, KPI definitions, date range, segments, benchmark, business question, decision needed. Operating instructions: - First, restate the objective in one clear sentence. - If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them. - Use a Detailed response style. - Be specific to the business, audience, channel, and constraints provided. - Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use. - When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources. - Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead. - End with a short QA checklist that helps me verify the output. Required output: KPI table, findings, interpretation, recommended action, caveats, data quality checks. Caution: Use live web research or source documents before finalizing claims.
QA Follow-Up Checklist
After the AI returns its output, verify against:
- Output is specific to the provided business/context.
- Assumptions are clearly labeled.
- No unsupported claims without source checks.
- Next actions are clear and usable.
Follow-Up Prompt
Now turn the result for 'Pricing Strategy & Analysis Consultant' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.
Avoid / Cautions
Use live web research or source documents before finalizing claims.