When to kill, fix, test, or scale a product

Every product you score lands in one of four states: Kill, Fix, Test, or Scale. The verdict is a function of the economics, not the excitement. A product can pull a million views and still belong in the Kill pile if the net profit after ad cost is negative. This playbook is how to read the signals and act on them.

Skimmr scores margin strength against a 45 percent ceiling, so a 45 percent net margin is treated as full strength. It also calls a margin healthy once it clears 30 percent, because at that level there is room for creator commissions and the mistakes you make while testing. Below that, pricing or cost has to move before anything else matters. Keep those two reference points in mind as you read each verdict.

Kill

Kill is for products that cannot be made to pay, or that carry risk you cannot price around. Killing fast is a skill. Every day you spend defending a dead product is a day you are not testing a live one.

• Net profit after ad cost is negative or near zero. Skimmr flags this directly when estimated economics are negative after ad cost.
• Net margin sits well under 30 percent and there is no realistic cost or price lever to lift it. Thin margin with nowhere to go is a Kill, not a Fix.
• Refund risk is high and the category is known for it. A heavy refund reserve eats the margin before ads even start.
• Saturation, supplier, shipping, and refund risk scores are elevated together. When Skimmr reports risk elevated across those four, the product is fragile even if a single test looks fine.

1. 1Confirm the loss is in the real economics, not a single bad input. Re-check product cost, shipping, and the ad cost per purchase estimate.
2. 2Check whether the only path to profit is a price you cannot actually sell at. If yes, kill it.
3. 3Archive the score so the reasoning is on record, then move budget to the next candidate.

Fix

Fix is for products with a real audience and a broken economic line. The demand signal is there, the net margin is not, and there is a specific lever you can pull. Fix means you change one thing and re-score, rather than testing the same losing math with more ad spend.

• Net margin is under 30 percent but the gap is closable through price, product cost, or shipping.
• Profit is positive but thin, and acquisition cost is the thing eating it. Skimmr will say positive profit, but acquisition costs need watching.
• Refund reserve is the single largest drag, which usually points at a product quality or expectations problem you can address.
• One risk score is high while the rest are clean. A single fixable weakness, not a fragile product across the board.

1. 1Find the largest line eating the margin: product cost, shipping, refund reserve, platform fee, or ad cost.
2. 2Pull one lever. Raise the price within the band the product can support, source a cheaper unit, cut packaging, or reduce refunds with clearer listings.
3. 3Re-score in Skimmr and confirm the net margin now clears 30 percent before you spend another dollar on it.
4. 4If two or three rounds of fixes still leave it under water, it was a Kill wearing a Fix costume. Let it go.

Test

Test is the default for a product whose economics already work on paper. The math says it can be profitable, the content angle looks usable, and the only open question is whether the market actually responds. You are spending a small, fixed amount to convert an estimate into real order data.

• Net profit after ad cost is positive, ideally with real headroom rather than a few cents.
• Net margin clears 30 percent, so creator commissions and early mistakes do not immediately push it negative.
• Content or visual demo potential is high enough to give short-form a fair shot. Skimmr flags this when content or visual demo potential reaches 7 out of 10.
• Operational risk is manageable. Saturation, supplier, shipping, and refund scores are not stacked against you.

1. 1Set a fixed test budget you are willing to lose entirely, and decide it before you launch.
2. 2Watch the break-even ad cost figure Skimmr gives you. If your real cost per purchase runs above it, the test is failing regardless of views.
3. 3Judge the test on net profit per order from real data, then calibrate your estimate against those actuals.
4. 4Passing tests graduate to Scale. Failing tests drop to Fix if there is a clear lever, or Kill if there is not.

Scale

Scale is earned, not assumed. A product reaches Scale when real orders confirm the estimate and the net margin holds while you push more volume and more ad spend through it. The trap at this stage is letting rising ad cost quietly erase the margin that justified scaling in the first place.

• Real order data confirms the demand estimate rather than contradicting it. Skimmr calibrates the estimate against your actuals as samples grow.
• Net margin stays comfortably above 30 percent at the higher ad spend, not just at the small test budget.
• Refund rate from real orders matches or beats the reserve you assumed. A reserve that was too optimistic shows up here first.
• Supplier and shipping can absorb the volume without the per-unit cost creeping up.

1. 1Increase budget in steps, and re-check net margin after each step rather than all at once.
2. 2Track real cost per purchase against the break-even ad cost. Pull back the moment you cross it.
3. 3Recalibrate the demand estimate against actuals regularly so your forecast tracks reality.
4. 4If margin compresses under volume, it is a Fix problem at scale. Address the cost or price before adding more spend.