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Free Pricing & Bundling Simulator — Model Revenue Impact for Your Ecommerce
Growthegy’s free pricing and bundling simulator (also useful as a price elasticity calculator and bundle margin calculator) models price changes, discounts, and bundles so you can compare revenue, margin, and a simple LTV proxy before you go live—no signup, runs in your browser.
Who is this for? Operators modeling list-price tests, promos, or bundles who want revenue, margin, and LTV-proxy deltas before changing live storefront prices.
Citable benchmarks
Average ecommerce cart abandonment rate is 70.19%.
Source: Baymard Institute — Cart Abandonment Rate Statistics (2024)
Average ecommerce conversion rate is often ~2–3% (varies widely by industry and traffic mix).
Source: IRP Commerce — Ecommerce Market Data (Jan 2026)
Bundles can increase AOV by 20–30% on average when merchandising and margin are managed intentionally.
Source: Growthegy — Core Growth Strategies (2025)
Many ecommerce brands model discretionary SKU demand with price elasticities roughly between −0.5 and −3.0, depending on category and substitutes.
Source: Growthegy — operator modeling guideposts (2026)
A healthy LTV:CAC benchmark is often cited as 3:1 or higher—each customer worth at least three times acquisition cost before scaling paid spend aggressively.
Source: Common ecommerce unit-economics practice (see also Growthegy LTV content) (2026)
Key takeaways
- Elasticity ties percent price moves to modeled unit volume—sanity-check the coefficient with past promos or category benchmarks before trusting a single run.
- Discount mode trades margin per order for volume; bundle mode trades per-item revenue for AOV—watch total margin dollars, not just top-line revenue.
- Sharable URLs and CSV export let you align finance and merchandising on the same assumptions before you change live prices.
What is a pricing and bundling simulator?
Q: What is a pricing and bundling simulator? A: A pricing and bundling simulator is a tool that models how price changes, discounts, and product bundles affect revenue, margin, and customer lifetime value. Why it matters: Testing scenarios before you change prices reduces risk and helps you choose strategies that support sustainable growth. Use the simulator above to compare options.
Growthegy publishes this free tool for ecommerce operators who want a fast, transparent alternative to opaque spreadsheets—whether you call it a discount ROI simulator, a bundle margin calculator, or a price elasticity calculator, the goal is the same: see base vs new revenue and margin side-by-side before you commit.
How price elasticity works (short explainer)
Price elasticity of demand measures how sensitive unit volume is to price. In this tool we use a simple linear rule: percent change in quantity ≈ elasticity × percent change in price. When elasticity is −1.5, a +10% price move implies about −15% volume. That is a modeling shortcut—real demand curves bend—but it is enough to compare directional risk on a SKU or category before you run an A/B price test.
Worked example (price increase)
Start at $100 and 1,000 units with elasticity −1.5. Raise price to $120 (+20%). Expected volume change is about −30%, so modeled units fall toward ~700. Revenue may rise or fall depending on how deep the drop is; the simulator shows both revenue and margin dollars so you can see whether the trade is worth it at your COGS.
Price change vs discount vs bundle (at a glance)
| Approach | What moves | Typical risk |
|---|---|---|
| Price change | List price and modeled units (elasticity) | Elastic demand can erase revenue gains; inelastic demand lifts margin dollars. |
| Discount campaign | Promo price and expected volume lift | Margin per order falls; only works if incremental volume pays for the discount. |
| Product bundle | Bundle price, adoption, and bundle COGS | AOV can rise while per-item margin compresses—watch total margin dollars. |
How to use the simulator
- Choose Price change, Discount, or Bundle.
- Enter base metrics: current price, units per period, COGS, repeat purchase rate, and average customer lifespan (months).
- Fill scenario fields (new price + elasticity, or discount + volume lift, or bundle price + adoption + bundle COGS).
- Read Base scenario vs New scenario for revenue, margin %, AOV, and LTV proxy.
- Use the Impact block for revenue, margin, and LTV deltas—plus charts for quick visual comparison.
- Copy link, Copy results, or Export CSV to share assumptions; optional Get AI insight for a short narrative on your numbers.
Cost of growth and related tools
Pricing and margin directly affect your cost of growth: the more you earn per customer and per product, the more you can invest in acquisition. For customer-level value and payback, use our LTV Calculator. To see which products are winners, try the Product Profitability Analyzer. For the full set of free tools, see our tools hub. For store-level simulation (not the same as this pricing calculator), see the ecommerce simulator—it targets different learning goals than this pricing simulator.