AnalyticsPricing

Price Sensitivity: 10% Price Increase = 20% Volume Drop (Elastic Demand)

23 March 2026·Updated Apr 2026·6 min read·GuideIntermediate
Share:PostShare

Key Takeaways

Product A: base price SGD 50, volume 100 units. Raise to SGD 55 (10% increase): volume drops to 80 units (20% drop). Elasticity = 2.0 (elastic = price sensitive). Revenue impact: old SGD 5K, new SGD 4.4K = -12% revenue. Bad move. Product B: base SGD 50, raise to SGD 55: volume drops to 95 units (5% drop). Elasticity = 0.5 (inelastic = price insensitive). Revenue impact: old SGD 5K, new SGD 5.225K = +4.5% revenue. Good move. Which to raise? Product B (inelastic).

    What Is Price Elasticity?#

    Elasticity = % volume change ÷ % price change. Elastic (>1): volume changes more than price. Inelastic (<1): volume changes less than price. At elasticity = 1 (unit elastic): volume % and price % change equally = revenue neutral. Example: SGD 50 price, 100 units = SGD 5K revenue. Raise 10% to SGD 55, lose 10% volume to 90 units = new revenue SGD 4.95K (nearly same).

    Why Elasticity Varies by Product#

    Luxury goods (watches, jewelry): inelastic (customer willing to pay, price = status). Commodity goods (milk, rice): elastic (many alternatives, customer price-sensitive). Branded goods: more inelastic (brand loyalty = price forgiveness). Unbranded: more elastic (no differentiation = price driven).

    💡 Key Insight

    Profit = (Price - COGS) × Volume.

    The Pricing Optimization Math#

    Profit = (Price - COGS) × Volume. If you raise price but lose volume, profit might drop. Example: Product with COGS SGD 30. Current: SGD 50 price, 100 volume = (SGD 50 - SGD 30) × 100 = SGD 2K profit. Raise to SGD 55 (inelastic, only 5% volume loss): (SGD 55 - SGD 30) × 95 = SGD 2.375K profit (+18.75% increase). But elastic product (20% volume loss): (SGD 55 - SGD 30) × 80 = SGD 2K profit (no change). Conclusion: raise price on inelastic products only.

    Get weekly BI insights

    Data-backed guides on AI, eCommerce, and SME strategy — straight to your inbox.

    Get started free →

    AskBiz Elasticity Modeling#

    Models elasticity by testing price changes (A/B test: 10% of customers see SGD 55, rest see SGD 50, measure volume change). "Product A: elasticity 2.0 (elastic). Price increase would reduce profit. Recommendation: don't raise, focus on cost reduction instead. Product B: elasticity 0.5 (inelastic). 10% price increase = 4.5% profit increase = SGD 200/month additional profit. Recommended: implement price increase."

    More in Analytics
    📊 By The Numbers
    10%5%18.75%20%4.5%
    Key Takeaways
    • Product A: base price SGD 50, volume 100 units.
    • Raise to SGD 55 (10% increase): volume drops to 80 units (20% drop).
    • Elasticity = 2.0 (elastic = price sensitive).

    People also ask

    How do I estimate elasticity without testing?

    Benchmark: luxury goods 0.3-0.7 (inelastic), staples 0.8-1.2 (unit elastic), commodity 1.5-2.0 (elastic). Start conservative (assume less elastic than you think), test with small segment first.

    Should I always raise prices on inelastic products?

    Not always. Consider: competitor response (they match price = no margin gain), customer goodwill (too many hikes = brand damage), elasticity changes over time (inelastic now, elastic later if customers find alternatives).

    AskBiz Editorial Team
    Business Intelligence Experts

    Our team combines expertise in data analytics, SME strategy, and AI tools to produce practical guides that help founders and operators make better business decisions.

    14-day free trial · No credit card needed

    Model Price Elasticity (Optimize Price for Profit)

    AskBiz estimates elasticity per product via A/B testing. Recommends optimal pricing to maximize profit. Tracks margin impact. Try free.

    Start free trial →See pricing

    Connects to Shopify, Xero, Amazon, QuickBooks, Stripe & more in minutes

    Share:PostShare
    ← Previous
    Customer LTV: Premium Segment (SGD 5K/Customer) vs Budget Segment (SGD 500/Customer)
    7 min read
    Next →
    Transaction Unit Economics: 30% of Sales Lose Money (Identify & Eliminate)
    7 min read

    Related articles

    Analytics
    Revenue Breakdown: 40% Online, 35% Retail, 25% B2B = Wildly Different Margins
    7 min read
    Financial Management
    Why Your P&L Is Wrong Every Month (And How to Fix It in 10 Minutes)
    9 min read

    Learn the concepts

    Business Intelligence Basics
    What Is Business Intelligence?
    4 min · Beginner
    Business Intelligence Basics
    Metrics vs Data: What's the Difference?
    3 min · Beginner
    Business Intelligence Basics
    What Is a Business Pulse Score?
    3 min · Beginner
    Business Intelligence Basics
    What Is Data-Driven Decision Making?
    4 min · Beginner