📊
Margin vs Markup
Cost + margin% or markup% → sell price, and back-solve either way.
📈
YoY / MoM Growth
Feed in a monthly series, get month-on-month and year-on-year change.
🧾
Tax / VAT
Add or remove VAT, plus a progressive income tax band split.
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A/B Test Significance
Control plus any number of variants → uplift, z-score and p-value for each.
🎚️
Weighted Average
Values and weights → the weighted average, with each row's contribution.
🤖
AI Cost
Token prices, caching and batch discounts → what an LLM API really costs.
🏷️
Marketplace Fees
eBay, Etsy and Amazon fees itemised → what you keep, and what to list at.

Which one do I need?

“Cost £40, want a 30% margin — sell at?” → Margin vs Markup
“Is my A/B test result significant?” → A/B Test Significance
“Revenue up 12% MoM — how's that YoY?” → YoY / MoM Growth
“What will this batch of API calls cost?” → AI Cost
“What do Etsy's fees really take off?” → Marketplace Fees
“Combine three suppliers' prices by volume?” → Weighted Average

Common questions

What's the difference between margin and markup?

Margin is profit as a percentage of the selling price; markup is profit as a percentage of the cost price. The same £10 profit on a £40 cost is a 20% margin but a 25% markup — the margin vs markup calculator converts between them so you're never quoting the wrong one.

How is statistical significance worked out for an A/B test?

The calculator runs a two-proportion z-test between your control and each variant, converting the conversion-rate difference into a z-score and p-value, so you can see whether an uplift is likely real or within normal noise.

Does the AI cost calculator account for prompt caching?

Yes — it separates cached and uncached input tokens plus output tokens at each price, and includes the batch-API discount where a provider offers one, since caching materially changes the real cost of repeated prompts.