A/B Price Test Sample Size Calculator
Calculate the minimum sample size needed for a statistically significant A/B price test. Set confidence level, power, and minimum detectable effect.
Calculate optimal bundle pricing with discount analysis. Enter individual product prices, set a bundle discount, and see revenue impact, perceived savings, and break-even volume increases.
Bundle Items
Item Breakdown
| Product | Individual | In Bundle | Savings | Cost | Bundle Margin |
|---|---|---|---|---|---|
| Product A | $29.99 | $23.99 | โ$6.00 | $10.00 | 58.3% |
| Product B | $19.99 | $15.99 | โ$4.00 | $7.00 | 56.2% |
| Product C | $14.99 | $11.99 | โ$3.00 | $5.00 | 58.3% |
| Total | $64.97 | $51.98 | โ$12.99 | $22.00 | 57.7% |
Bundle vs Individual Pricing
Bundle pricing sells multiple products or services together at a discount compared to buying each item separately. It's one of the most effective strategies for increasing average order value, moving slow sellers alongside popular items, and creating perceived value that drives conversion. Fast food combos, software suites, and telecom packages all use bundle pricing.
This calculator helps you design profitable bundles. Enter up to 8 individual product prices, set a bundle discount, and see the bundle price, customer savings, your revenue per bundle, and how many extra bundles you need to sell to compensate for the discount. It keeps the bundle strategy tied to total revenue, not just unit volume.
Bundling increases average order value and can move slow-selling inventory alongside popular items. But a poorly designed bundle erodes margin. This calculator shows how much extra volume you need to justify the discount, so you can test bundle ideas against revenue rather than intuition.
Individual Total = ฮฃ(Product Prices). Bundle Price = Individual Total ร (1 โ Discount%). Customer Savings = Individual Total โ Bundle Price. Break-Even Volume Increase = Discount% / (1 โ Discount%). Example: 20% bundle discount requires 25% more unit sales to break even on revenue.Result: $51.98 bundle price (save $13.00)
Individual total: $29.99 + $19.99 + $14.99 = $64.97. With a 20% bundle discount: $64.97 ร 0.80 = $51.98. The customer saves $12.99 (20%). To break even, you need 25% more bundle sales than the combined individual sales you'd otherwise make.
Bundles work because of perceived value asymmetry. Customers weigh the savings against the total price, not against each individual item. A $40 bundle saving $10 feels like a good deal even if the buyer only truly wanted two of three items. This โfree bonusโ perception drives higher conversion rates and larger average orders.
The optimal bundle price maximizes total contribution margin (price minus variable cost) across all products. Start with a 15-20% discount, test conversion rates, and adjust. If conversion increases more than the break-even volume, you're profiting. If not, reduce the discount or reconfigure the bundle's product mix.
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Most successful bundles offer 15-25% off the individual total. Below 10% feels insignificant to customers. Above 30% raises quality concerns and erodes margins. The right percentage depends on your margins, competition, and how price-sensitive your customers are.
Pure bundling means products are ONLY available as a bundle (e.g., cable TV packages). Mixed bundling offers both bundle and individual purchase options (e.g., software suites). Mixed bundling captures more total revenue because it serves both price-sensitive (bundle) and selective (individual) buyers.
Track the ratio of bundle to individual sales before and after launching the bundle. If individual sales of the bundled products drop significantly, some cannibalization is occurring. The key metric is total revenue (bundle + individual) compared to pre-bundle total revenue.
Yes, this is a classic strategy. The popular item drives bundle adoption while the slow-seller gets exposure it wouldn't otherwise receive. However, don't pair products too different in perceived quality, or the bundle will feel forced and reduce conversion.
Two to four items works best for most businesses. Too many items make the bundle confusing and the per-item perceived savings feel smaller. The ideal bundle tells a clear story: โthese items go together and solve a complete need.โ
Divide the discount percentage by (1 minus the discount percentage). A 20% discount requires 20/80 = 25% more sales to break even on revenue. A 30% discount requires 30/70 = 42.9% more sales. This formula assumes the extra sales are purely incremental.
Calculate the minimum sample size needed for a statistically significant A/B price test. Set confidence level, power, and minimum detectable effect.
Calculate the minimum price needed to cover all costs. Enter fixed costs, variable costs, and expected sales volume to find your break-even price per unit and profitability at different price points.
Calculate net price after a series of successive (chain) discounts. Find the single equivalent discount rate, compare chains, and verify supplier invoices.