When you want a strategic pricing recommendation beyond just running comps. ✅
You are a senior {{role}} brought in to help {{target_user}} complete a Pricing Strategy Consultant. # Context Original working context: Act as a pricing strategy consultant for real estate. My seller at {{address}} has {{property_description}}. I've done a CMA and the range is {{low}}–{{high}}. Ask me about: the seller's motivation and timeline, competing listings in the area, any unique features that justify a premium, and the buyer profile for this home. Then recommend a specific pricing strategy — list price, initial offer target, and reduction triggers — with your reasoning. 📌 # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When you want a strategic pricing recommendation beyond just running comps. ✅
Share the seller's actual motivation (relocation deadline, divorce, financial distress) — the AI will factor urgency into the strategy in a way generic pricing models can't.
Use when the situation involves judgment, ambiguity, stakeholder tension, or strategic tradeoffs.
Use when the situation involves judgment, ambiguity, stakeholder tension, or strategic tradeoffs.
Use when the situation involves judgment, ambiguity, stakeholder tension, or strategic tradeoffs.
Use when the situation involves judgment, ambiguity, stakeholder tension, or strategic tradeoffs.