Price Elasticity
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Understanding Price Elasticity in Dynamic Pricing
Price elasticity is a key concept in dynamic pricing, determining how price changes impact demand. The fundamental theory suggests that when prices rise, sales drop, and vice versa. However, real-world pricing is influenced by multiple factors, making elasticity analysis more complex than it seems.

How to Calculate Price Elasticity
The formula for Price Elasticity of Demand (PED): PED = (% Change in Sales) / (% Change in Price)
Example Calculation:
Price increase: $10 → $12
Sales decrease: 100 → 90 units
% Change in Sales = (-10%)
% Change in Price = (+20%)
PED = -0.5 (indicating inelastic demand)
In pricing strategies, understanding PED helps maximize :
profitability: Profit = (Price - Costs) × Quantity Sold

Factors Affecting Price Elasticity
Sales are influenced by more than just price:
Promotions (discounts, bundles, ads)
Product Information (descriptions, branding)
Market Trends (seasonality, economic shifts)
Competitor Prices (market positioning)
Customer Perception (brand loyalty, trust)
Challenges in Measuring Price Elasticity
Limited Historical Data – Infrequent price changes reduce data accuracy.
Market Variability – Seasonal trends can impact elasticity.
External Factors – Promotions and competitor actions distort demand shifts.
Practical Applications of Price Elasticity
For Inelastic Products (PED ≥ 0):
Test price increases to boost revenue.
For Elastic Products (PED < 0):
If sales are stable, consider raising prices to increase margins.
If highly elastic, lowering prices may drive higher demand.
Competitive Analysis & Cross-Price Elasticity
Monitor competitor pricing and how their price changes affect your sales.
Adjust pricing strategies based on customer price sensitivity.
Key Takeaways
Test, don’t assume – Market dynamics shift quickly.
Use data-driven decisions – Combine price elasticity with competitor insights.
Adapt to trends – Regular analysis ensures pricing strategies remain effective.
Dynamic pricing success lies in continuously monitoring price sensitivity, competition, and external factors to refine pricing strategies and maximize profitability.
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