Pricing Elasticity Analysis Prompt
Analyze how price changes affect demand for your product using elasticity calculations, sensitivity modeling, and revenue optimization recommendations.
Prompt Template
You are a pricing analytics expert. Help me analyze the price elasticity of demand for my product and find the revenue-maximizing price point. Product details: - Product: [product name and type] - Current price: $[price] - Current monthly units sold: [volume] - Current monthly revenue: $[revenue] - Market: [B2B/B2C/DTC], [industry] - Pricing model: [one-time / subscription / usage-based] Historical pricing data (if available): | Date | Price | Units Sold | Revenue | Notes | |------|-------|-----------|---------|-------| | [date] | $[price] | [units] | $[rev] | [any context] | | [date] | $[price] | [units] | $[rev] | [any context] | | [date] | $[price] | [units] | $[rev] | [any context] | Competitor pricing: - [Competitor 1]: $[price] for [what's included] - [Competitor 2]: $[price] for [what's included] - [Competitor 3]: $[price] for [what's included] Please provide: 1. **Elasticity Calculation** — Calculate the price elasticity of demand from my historical data. Classify as elastic (>1), inelastic (<1), or unit elastic (=1). 2. **Revenue Sensitivity Model** — Create a table showing projected revenue at 5 different price points (2 below current, current, 2 above current) with estimated volume impact. 3. **Optimal Price Range** — Based on the elasticity analysis, identify the revenue-maximizing price range and the profit-maximizing price range (accounting for estimated margins). 4. **Competitive Position Map** — Where I sit relative to competitors on a price-value matrix and what that implies for pricing power. 5. **Price Change Recommendations** — Specific recommendation with confidence level, expected revenue impact, and risk factors. 6. **Testing Strategy** — How to validate the recommendation with an A/B pricing test (cohort design, duration, sample size, success metrics). 7. **Implementation Playbook** — If raising prices: grandfather existing customers? Phase in gradually? Change packaging to justify the increase?
Example Output
# Pricing Elasticity Analysis: TaskFlow Pro (Project Management SaaS)
1. Elasticity Calculation
Using your historical data:
| Period | Price | Units | % Price Change | % Quantity Change |
|--------|-------|-------|----------------|-------------------|
| Q1 2025 | $29/mo | 2,400 | — | — |
| Q2 2025 | $34/mo | 2,180 | +17.2% | -9.2% |
| Q3 2025 | $34/mo | 2,250 | 0% | +3.2% (organic growth) |
| Q4 2025 | $39/mo | 1,980 | +14.7% | -12.0% |
Price Elasticity of Demand:
- Q1→Q2: PED = -9.2% ÷ 17.2% = **-0.53** (inelastic)
- Q3→Q4: PED = -12.0% ÷ 14.7% = **-0.82** (inelastic, but approaching unit elastic)
Interpretation: Your product is inelastic — a 10% price increase results in only a 5-8% volume decrease. This is typical for B2B SaaS with high switching costs. You likely have room to raise prices.
2. Revenue Sensitivity Model
| Price Point | Est. Monthly Units | Monthly Revenue | vs. Current | Confidence |
|-------------|-------------------|----------------|-------------|------------|
| $29 (historical) | 2,500 | $72,500 | -5.8% | High |
| $34 (below current) | 2,250 | $76,500 | -0.7% | High |
| **$39 (current)** | **1,980** | **$77,220** | **Baseline** | **Actual** |
| $44 (test) | 1,780 | $78,320 | **+1.4%** | Medium |
| $49 (stretch) | 1,550 | $75,950 | -1.6% | Low |
**Revenue-maximizing price point: ~$44/mo** (+$1,100/mo revenue)
3. Optimal Price Range
- **Revenue-maximizing:** $42-$46/mo
- **Profit-maximizing:** $44-$49/mo (higher price = fewer support tickets per dollar of revenue)
- **Risk-adjusted sweet spot:** **$44/mo** — captures upside with manageable churn risk
5. Recommendation
**Raise price from $39 to $44/mo** (13% increase)
- **Confidence:** Medium-High (7/10)
- **Expected revenue impact:** +$1,100/mo (+$13,200/year)
- **Expected churn:** 8-12% of price-sensitive customers over 60 days
- **Net impact after churn:** Still positive (+$800-1,100/mo net)
Risk factors:
1. Competitor X just launched at $35/mo — price-sensitive segment has an exit ramp
2. Annual contract customers locked in won't feel increase until renewal
3. If economy softens, elasticity could increase (become more price-sensitive)
6. Testing Strategy
A/B Price Test Design:
- **Cohort A (control):** New signups see $39/mo (50%)
- **Cohort B (test):** New signups see $44/mo (50%)
- **Duration:** 8 weeks minimum
- **Sample size needed:** ~400 per cohort (for 95% confidence, 80% power)
- **Primary metric:** Revenue per visitor (not just conversion rate)
- **Secondary metrics:** Trial-to-paid conversion, 30-day retention, support ticket volume
Tips for Best Results
- 💡Never calculate elasticity from a single price change — you need at least 3 data points to identify a pattern vs. a coincidence.
- 💡B2B SaaS is almost always inelastic (PED 0.3-0.8) because switching costs are high. If yours is elastic, you have a positioning problem, not a pricing problem.
- 💡Always A/B test price changes on new customers first — never surprise existing customers with a sudden increase.
- 💡When raising prices, add something (even small: priority support, a new feature) so it feels like an upgrade, not a tax.
Frequently Asked Questions
What is the Pricing Elasticity Analysis Prompt prompt?
Analyze how price changes affect demand for your product using elasticity calculations, sensitivity modeling, and revenue optimization recommendations. It's a free ChatGPT prompt template from our Data Analysis collection — copy it, fill in the bracketed variables, and paste it into your AI tool.
Which AI tools work with this prompt?
It's written and tested for ChatGPT, Claude and Gemini. Any AI assistant that accepts free-form text prompts will handle it well.
How do I customize this ChatGPT prompt?
Replace the bracketed variables — such as [product name and type], [price], [volume] — with your own details before running it. Never calculate elasticity from a single price change — you need at least 3 data points to identify a pattern vs. a coincidence.
Is this prompt free to use?
Yes. Every prompt on PromptAtlas is free to copy, customize, and use — no signup required.
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