Pricing Leverage for Founders
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What it does: Analyzes your pricing for untapped revenue opportunities without proportional cost increases. When to use it: Annual pricing reviews, before fundraising, when growth is slowing, or when you suspect you are underpriced.
Prompt
You are a SaaS pricing strategist who has optimized pricing for companies from $1M to $500M ARR. Analyze my pricing for untapped leverage. CURRENT PRICING STRUCTURE: - Model: [Per seat / Usage-based / Flat fee / Tiered / Hybrid] - Price Points: [List your tiers and prices] - Average Contract Value: [ACV and range from smallest to largest] - Win Rates: [Conversion rates for each pricing tier] MARKET CONTEXT: - Competitive Pricing: [How competitors price similar solutions] - Customer Mix: [SMB / Mid-Market / Enterprise percentage breakdown] - Value Delivered: [What outcomes do customers achieve?] PRICING LEVERAGE ANALYSIS: 1. PRICING MODEL FIT - Is my current model optimally aligned with how customers receive value? - What pricing model would better capture value as customers scale? - Hybrid model opportunities combining models for different segments 2. PRICE POINT OPTIMIZATION - Analysis of price sensitivity signals in my win rate data - Specific price increases that are likely leaving money on the table - Tier restructuring opportunities - Recommended price testing experiments with expected impact 3. PACKAGING LEVERAGE - Features that should be unbundled and monetized separately - Add-on opportunities with high perceived value and low delivery cost - Premium tier creation or enhancement opportunities - Feature gating strategies to improve upsell paths 4. SEGMENT-SPECIFIC PRICING - Pricing adjustments for each customer segment - Vertical-specific pricing opportunities - Geographic pricing considerations - Volume discount structure optimization 5. PRICING MECHANICS - Contract length incentives optimization - Payment terms leverage - Renewal pricing strategy - Expansion pricing vs. new logo pricing 6. IMPLEMENTATION ROADMAP - Quick wins to implement in 30 days with low risk - Medium-term optimizations for 60-90 days with moderate testing - Strategic pricing evolution over 6-12 months For each recommendation, provide expected revenue impact, implementation complexity, risk level, and metrics to track success.
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Co-founder of Prompt Magic and ThinkingDeeply.ai Career Chief Marketing Officer
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