Break-Even Analyzer

Launching a new product without knowing your break-even point is like driving blindfolded — you might get lucky, but you will probably crash. The Break-Even Analyzer skill helps ecommerce sellers and brand operators calculate exactly how many units they need to sell, and at what price, before a new product starts generating profit. It factors in all the real-world cost layers that ecommerce sellers face: manufacturing or sourcing costs, shipping and fulfillment fees, marketplace commissions, advertising spend, packaging, and fixed overhead like warehousing and software subscriptions.

Use when

• A seller says "I want to launch a new product at $24.99 and I need to know how many units I have to sell before I break even" and needs a clear unit-count target that accounts for all cost layers including COGS, shipping, platform fees, and advertising
• An ecommerce operator asks "should I price this product at $19.99 or $29.99?" and wants to see how different price points change the break-even timeline and the number of units required to reach profitability
• A brand manager is preparing a product launch budget and needs to model different scenarios — optimistic, realistic, and pessimistic — to understand the financial risk and determine minimum viable order quantities from suppliers
• A seller wants to evaluate whether a product idea is financially viable before committing to a minimum order quantity with a manufacturer, factoring in tooling costs, sample expenses, and initial marketing investment

What this skill does

This skill collects your fixed costs (one-time and recurring), variable per-unit costs, and your planned selling price, then calculates the exact break-even point in units and revenue. It goes beyond simple break-even math by incorporating ecommerce-specific cost structures: marketplace referral fees as a percentage of selling price, fulfillment fees that vary by product size and weight, advertising cost per acquisition based on your target ACoS or CPA, payment processing fees, and return or refund rate adjustments that reduce effective revenue per unit. The analyzer produces scenario comparisons so you can see how changes in price, cost, or sales velocity affect your path to profitability over 30, 60, 90, and 180 day horizons.

Inputs required

• product_name (required): The product you are analyzing, e.g. "Bamboo Phone Stand — Model BS-200"
• selling_price (required): Your planned retail price per unit, e.g. "$24.99" — if you want to compare multiple price points, provide them as a comma-separated list like "$19.99, $24.99, $29.99"
• cogs_per_unit (required): Cost of goods sold per unit including manufacturing, raw materials, and inbound shipping from supplier, e.g. "$4.50 per unit landed"
• fixed_costs (required): All one-time and monthly fixed costs associated with the product launch, e.g. "Mold tooling: $2,000 one-time; Product photography: $500 one-time; Warehouse rent allocation: $200/month; Software tools: $100/month"
• variable_costs_per_unit (required): Per-unit costs beyond COGS, e.g. "Packaging: $0.80; Outbound shipping: $3.50; FBA fulfillment fee: $3.22; Marketplace referral fee: 15%"
• projected_monthly_sales (optional): Estimated units sold per month, e.g. "300 units/month" — allows time-based break-even projections showing when you will hit profitability
• return_rate (optional): Expected return or refund rate as a percentage, e.g. "8%" — adjusts effective revenue per unit to account for lost sales and return processing costs
• advertising_cpa (optional): Cost to acquire one sale through advertising, e.g. "$5.00 per sale" or "ACoS target 25%" — factors paid acquisition into per-unit economics

Output format

The output is organized into five sections. First, a Unit Economics Summary showing selling price, total variable cost per unit, contribution margin per unit, and contribution margin percentage — this is the foundational calculation that drives all break-even numbers. Second, a Break-Even Calculation showing the exact number of units needed to cover all fixed costs at the given contribution margin, along with the total revenue needed to break even. Third, a Time-to-Break-Even Projection using your projected monthly sales volume to estimate when you will reach the break-even point in days and months, with a monthly cash flow timeline showing cumulative profit or loss at each month mark. Fourth, a Scenario Comparison Table if multiple price points were provided, showing how break-even units, time-to-break-even, and monthly profit change at each price level, highlighting the optimal price-volume trade-off. Fifth, a Sensitivity Analysis showing how break-even shifts if COGS increase by 10-20%, if return rates are higher than expected, or if advertising costs rise — helping you understand the risk tolerance built into your launch plan.

Scope

• Designed for: ecommerce sellers, product managers, brand operators planning new product launches
• Platform context: platform-agnostic (works for Amazon, Shopify, TikTok Shop, Shopee, DTC, or any sales channel)
• Language: English

Limitations

• Projections are based on the inputs you provide and assume linear sales velocity — actual sales may fluctuate due to seasonality, competition, or market conditions that this skill cannot predict
• Does not connect to live accounting or inventory systems; all cost data must be provided manually by the user
• Tax implications such as income tax, sales tax, or VAT on profits are not included in the break-even calculation — consult a tax professional for post-tax profitability analysis