Pricing Strategy Analyzer

You are a pricing strategist. Analyze and optimize pricing for maximum profitability.

**Product:** {product_name}
**Current Price:** ${current_price}
**Cost:** ${unit_cost}
**Market:** {market_description}

Develop optimal pricing strategy:

**1. Cost-Based Pricing:**

**Cost Structure:**
- Variable cost per unit: ${variable_cost}
- Fixed costs (annual): ${fixed_costs}
- Breakeven volume: {breakeven_units} units

**Markup Analysis:**
- Cost: ${unit_cost}
- Current markup: {current_markup}%
- Target margin: {target_margin}%
- **Recommended price: ${cost_based_price}**

**2. Value-Based Pricing:**

**Customer Value Analysis:**
- Customer willingness to pay: ${wtp}
- Value delivered: {value_description}
- Competitive alternatives: ${competitor_price}
- Value premium: {premium}%

**Value Drivers:**
1. {driver_1}: Worth ${value_1} to customer
2. {driver_2}: Worth ${value_2} to customer
3. {driver_3}: Worth ${value_3} to customer

**Total Value:** ${total_value}
**Recommended Price:** ${value_based_price} ({capture}% value capture)

**3. Competitive Pricing:**

**Competitive Analysis:**
| Competitor | Price | Features | Market Share | Positioning |
|------------|-------|----------|--------------|-------------|
| {comp_1} | ${price_1} | {features_1} | {share_1}% | {pos_1} |
| {comp_2} | ${price_2} | {features_2} | {share_2}% | {pos_2} |
| {comp_3} | ${price_3} | {features_3} | {share_3}% | {pos_3} |
| **You** | ${current_price} | {your_features} | {your_share}% | {your_position} |

**Positioning Recommendation:**
- **Strategy:** {premium/parity/discount}
- **Recommended Price:** ${competitive_price}
- **Rationale:** {competitive_rationale}

**4. Price Elasticity Analysis:**

**Price Sensitivity:**
- Price elasticity: {elasticity}
- Interpretation: {elastic/inelastic}

**Demand Forecast:**
| Price | Estimated Demand | Revenue | Profit | Profit Margin |
|-------|------------------|---------|--------|---------------|
| ${price_m20} | {demand_m20} | ${rev_m20} | ${profit_m20} | {margin_m20}% |
| ${price_m10} | {demand_m10} | ${rev_m10} | ${profit_m10} | {margin_m10}% |
| ${current_price} | {demand_base} | ${rev_base} | ${profit_base} | {margin_base}% |
| ${price_p10} | {demand_p10} | ${rev_p10} | ${profit_p10} | {margin_p10}% |
| ${price_p20} | {demand_p20} | ${rev_p20} | ${profit_p20} | {margin_p20}% |

**Optimal Price:** ${optimal_price} (maximizes profit)

**5. Pricing Models:**

**Tiered Pricing:**
| Tier | Features | Target Customer | Price | Expected Adoption |
|------|----------|-----------------|-------|-------------------|
| Basic | {basic_features} | {basic_customer} | ${basic_price} | {basic_pct}% |
| Pro | {pro_features} | {pro_customer} | ${pro_price} | {pro_pct}% |
| Enterprise | {ent_features} | {ent_customer} | ${ent_price} | {ent_pct}% |

**Freemium:**
- Free tier: {free_features}
- Conversion target: {conversion_rate}%
- Paid price: ${paid_price}
- LTV/CAC target: {ltv_cac_ratio}

**Usage-Based:**
- Base price: ${base_price}
- Per-unit price: ${per_unit_price}
- Typical usage: {typical_usage} units
- Average revenue: ${average_revenue}

**6. Price Testing Plan:**

**A/B Test Design:**
- **Control:** ${current_price} ({control_pct}% of traffic)
- **Test A:** ${test_price_a} ({test_a_pct}% of traffic)
- **Test B:** ${test_price_b} ({test_b_pct}% of traffic)

**Success Metrics:**
- Primary: Total revenue
- Secondary: Conversion rate, AOV, customer acquisition
- Duration: {test_duration} weeks
- Sample size: {sample_size} visitors per variant

**7. Psychological Pricing:**

**Tactics to Consider:**
- **Charm Pricing:** $99 instead of $100 (saves ${savings}, feels much cheaper)
- **Anchor Pricing:** Show ${anchor_price} then ${discounted_price}
- **Decoy Pricing:** Add ${decoy_price} option to make ${target_price} look better
- **Bundle Pricing:** Sell ${bundle_price} vs ${individual_total} (save {bundle_discount}%)

**8. Dynamic Pricing:**

**Triggers for Price Adjustments:**
- **Demand-based:** Increase {increase_pct}% when demand > {threshold}%
- **Time-based:** {time_discount}% off during {off_peak_period}
- **Customer-based:** {customer_discount}% for {customer_segment}
- **Competitive:** Match competitor if they drop below ${match_threshold}

**9. Revenue Impact Analysis:**

**Current State:**
- Price: ${current_price}
- Volume: {current_volume} units/month
- Revenue: ${current_revenue}/month
- Profit: ${current_profit}/month

**Proposed State:**
- Price: ${proposed_price}
- Estimated volume: {proposed_volume} units/month
- Estimated revenue: ${proposed_revenue}/month
- Estimated profit: ${proposed_profit}/month

**Impact:**
- Revenue change: {revenue_change}%
- Profit change: {profit_change}%
- Margin change: {margin_change}bps

**10. Implementation Roadmap:**

**Phase 1: Research (Weeks 1-2)**
- [ ] Customer surveys on WTP
- [ ] Competitor price monitoring
- [ ] Cost analysis refresh
- [ ] Elasticity estimation

**Phase 2: Testing (Weeks 3-6)**
- [ ] A/B test pricing
- [ ] Test messaging
- [ ] Monitor metrics daily
- [ ] Gather qualitative feedback

**Phase 3: Rollout (Weeks 7-8)**
- [ ] Communicate to customers
- [ ] Update website/app
- [ ] Train sales team
- [ ] Monitor adoption

**Phase 4: Optimize (Ongoing)**
- [ ] Monitor metrics weekly
- [ ] Adjust based on data
- [ ] Test new tactics quarterly

**Recommendation: {final_recommendation}**
**Rationale:** {final_rationale}
**Expected Impact:** {expected_impact}

Provide: Pricing analysis + strategy + test plan + implementation roadmap.