When to Negate

Is this search term worth more clicks?

Use clicks, orders, spend and contribution per order to compare a term with its break-even conversion rate. Review the evidence before deciding to add a negative, collect more data or keep it running.

See how it decides Try a practice round
The search term

From your Sponsored Products Search Term Report: Clicks, 7 Day Total Orders and Spend for this term.

The product it’s advertising
How sure before you add a negative?

Higher thresholds reduce false positives for a single fixed test under the model, but cannot eliminate mistakes. Repeated checking and screening many terms increase the risk.

Cheat sheet

Clicks with no sale before you add a negative.

Find the row for your product’s break-even conversion rate. Rule of thumb: at 95%, it’s about 3 ÷ that rate.

Break-even conversion rate 80% sure 90% sure 95% sure Spend to know

Break-even conversion rate = cost per click ÷ profit per sale before ads. The spend column uses your cost per click at the certainty you picked.

How it’s calculated

A fair test for every search term.

Clicks cost money whether or not they convert. So the question isn’t “has it sold yet?” but “does it sell often enough to pay for its clicks?”

Want break-even numbers for every product first? Run the Catalog Profit Check, then pick a product here. Setting top-of-search premiums? Try the Placement Bid Calculator. Search term selling well? Review the uncertainty with Harvest Readiness before you move it to exact match.

Also a free JSON API for your own reports or an AI agent, no key needed: GET https://profitfirstppc.com/api/when-to-negate?clicks=24&orders=0&spend=28.80&profit_per_order=19.29. Details in the API spec.

  • Break-even conversion rate

    Cost per click ÷ profit per sale before ads. A search term converting below this loses money even when it makes sales.

  • The test

    If the term really converted at exactly break-even, how likely is it to get this few orders from this many clicks? A value below 5% flags evidence against break-even for a single test at the 95% setting. It is not a 95% probability that the term is unprofitable.

  • Clicks to decide

    How many more clicks with no new order it takes to get there, and what they cost at your current cost per click.

  • What it leaves out

    Sales from other search terms that this one helps, orders credited after the report was pulled, and multi-unit orders. Treat a close call as “watch it”, not “cut it”.

For your website

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Free to use. Provided as-is; results are estimates.

Radu Bobirnac

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Learn the decision behind the numbers.

Work through the example, then apply this tool to your own reports.