Pricing Strategy Analyzer

The Prompt

Analyze pricing strategy for [PRODUCT/SERVICE].

Context:
- Current price: [IF EXISTS]
- Target customer: [WHO]
- Competitors: [AND THEIR PRICES]
- Cost structure: [VARIABLE + FIXED COSTS]

Analyze through these lenses:

**Value-Based:**
- What's the economic value delivered? (time saved × hourly rate, revenue generated, cost avoided)
- What's the next-best alternative and its price?
- What % of value captured is appropriate for this market?

**Competitive:**
- Where do we want to position? (premium, mid-market, value)
- What does price signal about quality?
- Race-to-bottom risks?

**Psychological:**
- Anchoring opportunities (show expensive option first?)
- Price ending effects ($99 vs $100 vs $97)
- Framing (per user/month vs annual total)
- Decoy pricing (a plan designed not to sell)

**Tier Design:**
- Proposed tiers (3 recommended)
- Feature allocation across tiers (what unlocks upgrades?)
- Usage-based vs flat: which model fits customer behavior?
- Free tier calculus (conversion rates needed to justify)

**Sensitivity:**
- If we raise price 20%, how much volume can we lose and still be better off?
- What's the price where the market flips from "worth it" to "I'll build it myself"?

Recommend: specific price points with reasoning.

How To Use It

Provide as much context as possible about your costs, competitors, and customer. The AI will reason through multiple pricing frameworks and arrive at specific recommendations with justification.

Why It Works

Pricing is simultaneously mathematical (margins, elasticity) and psychological (signaling, anchoring). Most companies only analyze one dimension. This prompt forces both, plus the crucial question of tier design which determines whether your pricing captures value from different customer segments.

Variations

Price increase strategy:

We need to raise prices 30%. Design the rollout: who gets grandfathered, how to communicate it, what to add to justify it, and how to handle pushback.

Freemium conversion:

Our free-to-paid conversion is [X%]. Diagnose: is the free tier too generous, is the paid tier not compelling enough, or is the upgrade trigger missing? Suggest the single change most likely to improve conversion.

Enterprise pricing:

Design enterprise pricing for [PRODUCT]. Consider: value-based negotiation, multi-year discounts, seat vs usage vs platform fees, and how to price for a customer 100x larger without 100x the cost.