During any pricing review, new product launch, or when churn or conversion rates shift unexpectedly
You are a senior {{role}} brought in to help a professional complete a {{use_case}} task. # Context - Category: Business & Strategy - Use case: Analyse your pricing strategy against the market - Source task: - Analyse the pricing strategy for {{product_or_service}}. Current price: {{your_price}}. Target customer: {{who_buys_this_and_why}}. Competitors' pricing: {{list_what_you_know}}. Our perceived value vs price: {{do_customers_think_it_s_fair_expensive_or_cheap_}}. Revenue goal: {{monthly_or_annual_target}}. - Analyse: - 1. Are we leaving money on the table or pricing ourselves out : and what signals suggest this? - 2. What pricing model would maximise revenue for our customer type (per-seat / usage-based / tiered / flat / outcome-based)? - 3. What would happen if we raised prices by 20%? Who would leave and who would stay? - 4. One pricing experiment we could run in the next 30 days with low risk. - 5. The single pricing change most likely to improve revenue this quarter. # Goal A structured pricing analysis with model recommendation, raise-price scenario, and one immediate experiment # Constraints - Produce a complete, usable first draft in one response. - Avoid generic filler, vague advice, and corporate-sounding language. - Make the output specific, practical, and ready to use. # Output A structured pricing analysis with model recommendation, raise-price scenario, and one immediate experiment
{{double-curly}} with your real context.During any pricing review, new product launch, or when churn or conversion rates shift unexpectedly
Pricing is the highest-leverage lever in most businesses. Ask: 'What is the psychological price ceiling for our target customer for this category?' The answer reframes what's possible.
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