Dynamic Pricing Strategies

Elasticity is the Gateway to Profitability

By combining advertising and pricing elasticity while analyzing campaign data, you can develop unique forecasting models that not only accounts for historical performance but also integrates competitive dynamics and market changes.

New Ad Spend ($) (Auto-calculated if Monte Carlo selected): 0

Sales Forecast Simulator

📊 Sales Forecast Simulator

âž• Add New Data Row

🔹 Step 1: Enter Historical Data

🔹 Step 2: Adjust Inputs

🔹 Scenario Settings

Sales & Advertising Dashboard (beta example)

Sales & Advertising Dashboard

Step 1: Fetch Data

Step 6: Report Overall Effect

Scenario 1: Combined Strategy (Elasticity Pricing + Ad Spend Increase) Competitor IS: 55% CPC: $2.50 CTR: 5% CVR: 2.3% (+15%) Revenue per Conversion: $45 Ad Spend: $12,500 🔹 Projected Impact: Optimized balance between price sensitivity and ad performance.

Scenario 2: Price Elasticity Strategy (Lower Price to Stimulate Demand) Competitor IS: 55% CPC: $2.50 CTR: 4.5% CVR: 2.2% (+10%) Revenue per Conversion: $45 (-10%) Ad Spend: $10,000 🔹 Projected Impact: Higher conversion rate offsets lower revenue per conversion.

Scenario 3: Increased Advertising Spend (Market Share Defense) Competitor IS: 55% CPC: $2.50 CTR: 5% (maintained through stronger ad strategy) CVR: 2% Revenue per Conversion: $50 Ad Spend: $12,500 (+25%) 🔹 Projected Impact: More conversions, potential stabilization of market share.

Scenario 4: Increased Competition (Higher CPC, Lower CTR) Competitor IS: 55% CPC: $2.50 (+25%) CTR: 4.5% (-10%) CVR: 1.8% (-10%) Revenue per Conversion: $50 Ad Spend: $10,000 🔹 Projected Impact: Lower efficiency, fewer conversions, higher cost per acquisition (CPA).

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Sales Forecasting

Incremental Sales

Advanced Elasticity