#!/usr/bin/env python3
"""Financial simulation for ClipSense pricing tiers"""
# ACTUAL COSTS from end-to-end testing
test_costs = [0.0208, 0.0281, 0.0242]
avg_cost_per_analysis = sum(test_costs) / len(test_costs)
print("="*80)
print("CLIPSENSE FINANCIAL SIMULATION")
print("="*80)
print(f"\nActual cost per analysis (from testing): ${avg_cost_per_analysis:.4f}")
print()
# Pricing tiers
tiers = {
"FREE": {"price": 0, "limit": 3},
"PRO": {"price": 29, "limit": 50},
"TEAM": {"price": 99, "limit": 999999} # Current backend setting
}
print("CURRENT PRICING STRUCTURE:")
print("-" * 80)
for tier_name, tier_data in tiers.items():
limit_display = "UNLIMITED" if tier_data["limit"] >= 999999 else tier_data["limit"]
print(f"{tier_name:10} | ${tier_data['price']:6.2f}/mo | {limit_display} analyses")
print()
# Profit/loss analysis
print("PROFIT/LOSS ANALYSIS:")
print("="*80)
for tier_name, tier_data in tiers.items():
price = tier_data["price"]
limit = tier_data["limit"]
print(f"\n{tier_name} TIER (${price}/mo):")
print("-" * 80)
if tier_name == "FREE":
scenarios = [3]
elif tier_name == "PRO":
scenarios = [10, 25, 50] # Low, medium, full usage
else: # TEAM
scenarios = [500, 1000, 2000, 4000, 5000, 10000] # Various usage levels
for usage in scenarios:
if usage > limit and limit < 999999:
continue
cost = usage * avg_cost_per_analysis
profit = price - cost
margin = (profit / price * 100) if price > 0 else 0
status = "✅" if profit > 0 else "❌ LOSS"
print(f" {usage:5} analyses/mo: Cost=${cost:6.2f} | Profit=${profit:7.2f} | Margin={margin:6.1f}% {status}")
# Break-even analysis for TEAM tier
print("\n" + "="*80)
print("TEAM TIER BREAK-EVEN ANALYSIS:")
print("="*80)
team_price = tiers["TEAM"]["price"]
breakeven_analyses = team_price / avg_cost_per_analysis
print(f"Break-even point: {breakeven_analyses:,.0f} analyses/month")
print(f"Above {breakeven_analyses:,.0f} analyses = YOU LOSE MONEY")
print()
# Worst-case scenarios
print("WORST-CASE SCENARIOS (TEAM tier at $99/mo):")
print("-" * 80)
worst_cases = [
("Heavy QA team", 15000),
("Enterprise power user", 20000),
("Automated testing", 30000),
]
for scenario_name, usage in worst_cases:
cost = usage * avg_cost_per_analysis
loss = cost - team_price
print(f"{scenario_name:25} | {usage:6,} analyses | Cost=${cost:7.2f} | LOSS=${loss:7.2f}")
print("\n" + "="*80)
print("RECOMMENDATION:")
print("="*80)
print("""
⚠️ UNLIMITED is financially dangerous with current costs!
OPTIONS:
1. CAP the "TEAM" tier (RECOMMENDED)
- Team: $99/mo for 500 analyses (cost=$12, profit=$87, 88% margin)
- Enterprise: $299/mo for 2,000 analyses (cost=$48.40, profit=$250.60, 84% margin)
- Custom pricing for 2,000+ analyses
2. RAISE Team tier price significantly
- Team: $199/mo "unlimited" (safe up to 8,000 analyses)
- Still risky if power users abuse
3. USAGE-BASED PRICING above threshold
- Team: $99/mo for first 500, then $0.05/additional analysis
- Protects margins while scaling revenue with usage
CURRENT STATUS: Backend has UNLIMITED (999999), README says UNLIMITED
Some docs say 500 - INCONSISTENT & RISKY
""")
print("="*80)
