Free Tool · Digital & Commerce

E-commerce Pricing War Simulator

Competitor drops 15%. Match, hold or bundle? Simulate before you react.

Competitor drops 15%. Match, hold or bundle? Simulate all three against your real margin and volume sensitivity before you react — including the response that quietly costs the most: matching without a reversion date.

For: E-commerce / Pricing Lead·Free — no sign-up for results·Related service: E-commerce & Marketplace Growth
Competitor price drop15%
Volume loss sensitivity0.8
% of units lost per 1% price disadvantage if you hold. 0.8 = typical for comparable products.
Weekly contribution today₹40,000
Hold price — 88 units₹35,200 (-₹4,800)
Match the cut — 100 units₹25,000 (-₹15,000)
Hold + bundle value — 94 units₹32,900 (-₹7,100)
Best responseHold price
The reversion risk: prices drop in a day and recover in a year. If you match, set the review date and the reversion trigger ('when rival returns to X, we return to Y') in the same meeting.
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How it works

Hold: units fall by (sensitivity × drop)%; contribution falls with volume. Match: volume holds, margin resets. Bundle: volume falls less (retention factor), margin falls by the bundle cost only.

All three scenarios show weekly contribution versus today; the best is flagged.

Matching below variable cost is hard-flagged. The reversion rule is mandatory: 'when the rival returns to X, we return to Y' — agreed before you move.

Worked example

₹1,000 price, ₹600 cost, 100 units/week, rival drops 15%. Hold: 88 units, ₹35,200 (−₹4,800). Match: ₹25,000 (−₹15,000). Bundle at ₹50/unit cost: ₹32,900 (−₹7,100). Holding wins this week — and the bundle wins the season. Matching wins nothing but fear.

Illustrative figures, not a client outcome.

Questions, answered

What if the rival's price is below our cost?

Then it isn't a price, it's a subsidy — and subsidies end. Hold, differentiate, and watch their unit economics do the work. Never match below contribution zero.

How do we estimate volume sensitivity?

From your own price-change history if you have it; otherwise start at 0.8 for comparable products, 0.3 for differentiated ones, and refine with the next real event.

Version 1.0 · Reviewed 2026-10 · Methodology is fixed and version-controlled; results depend on your inputs.

Price wars won by the spreadsheet, not the siren. Model yours first.

BLEZZINGS runs this analysis inside a focused engagement — with your data, your market and a plan to act on it.