Every other tool measures what already happened. Farolane works upstream: enter your product economics and a monthly profit goal — get the channel mix, the price, and the ad budget that actually hits it. Fees, taxes and ad benchmarks are sourced, dated, and shown as honest ranges.
From "what's my true margin on this channel?" to "what will it take to hit my monthly profit goal?"
One product, side-by-side true net margin across every channel in your country — with a visual fee-vs-margin chart and a reverse mode (target margin → required price).
Set a monthly profit goal and get the units, ad budget (as an honest range), and break-even price each channel needs to hit it. Save scenarios locally.
Zone/weight shipping bands from carrier tables, plus duties and import taxes — post–de-minimis US, India BCD + IGST, and UK/EU VAT rules.
Upload a CSV of your SKUs to see per-SKU margin on every channel and flag anything below your threshold. Nothing leaves your browser.
Type your selling price, unit cost (COGS), shipping cost and category. That's all — everything else is supplied for you.
Sourced commission, order and payment fees, plus the right tax model per country — US sales tax, India GST + TCS, UK/EU VAT.
Rank channels by true net margin, reverse-engineer the price for a target margin, or work back from a profit goal to units and ad spend.
Yes. Every tool here is free and never gated — no signup, no email wall, no card. A future Pro tier will add catalog sync, watchdog alerts and live rates, but the planning tools you see stay free.
Nowhere. All calculations run in your browser, and saved scenarios live in your browser's local storage. There are no accounts and no server in the free tier.
The dataset is versioned (2026.07) and re-verified quarterly. Each record shows its source and last-verified date; anything we couldn't fully confirm is flagged as an estimate for you to check in your seller portal.
United States, India, the United Kingdom and Europe today, with country-specific marketplaces and tax rules for each. More markets follow as the dataset grows.