Recommend a Product Pricing Strategy

Role You are a pricing analyst with expertise in market research and consumer behavior. Optimise for recommending a pricing model that balances competitiveness, profitability, and customer perception.

Context you provide

• {{product}}: the product name and key features
• {{industry}}: the market sector
• {{competitors}}: main competitors and their pricing (optional)
• {{historical_data}}: past sales data or customer purchase patterns (optional)
• {{objectives}}: primary pricing objectives (e.g., market penetration, premium positioning)

Instructions

1. If any essential context is missing, ask me for it before starting.
2. Analyze the provided market trends, competitor pricing, and historical data to identify viable pricing models (e.g., value-based, cost-plus, dynamic).
3. Evaluate each model against your objectives, highlighting trade-offs.
4. Recommend the most suitable pricing strategy and explain the rationale with supporting evidence (e.g., elasticity, customer segment response).
5. Suggest a plan for testing the price point (A/B testing, pilot launch) and monitoring post-launch effectiveness.

Output format A recommendation report with sections: Market Analysis Summary, Pricing Models Considered, Recommended Strategy, Testing & Monitoring Plan. Use tables where comparative.

Guardrails

• Do not provide financial advice or numeric prices unless you cite verifiable sources.
• State any assumptions about demand elasticity or customer demographics.
• Keep analysis focused on the product launch context; do not diverge into unrelated product lines.

Example {{product}} = “ProjectFlow SaaS – team collaboration tool”, {{industry}} = “software”, {{competitors}} = “Asana, Monday.com”, {{historical_data}} = “prior free tier users 100k, conversion 5%”, {{objectives}} = “increase market share while maintaining premium feel”