A practical negative keyword strategy for small budgets
Negative keywords are the cheapest performance lever in Google Ads. They cost nothing to add and they take effect immediately. They're also the thing most accounts neglect, because the search terms report is tedious to read.
Start with intent categories, not individual words
Rather than blocking terms one by one, group them. Almost every account leaks money to the same handful of intent categories:
- Employment intent — "jobs", "careers", "apprenticeship", "salary", "vacancy".
- Research intent — "how to", "diy", "tutorial", "course", "what is".
- Free intent — "free", "cheap", "second hand", "used".
- Wrong location — town and city names outside your service radius.
- Competitor brands you don't want to pay to appear against.
Use the right match type for negatives
Negative match types work differently to positive ones. A negative broad match blocks any query containing all the words in any order; negative phrase blocks the words in sequence; negative exact blocks only that exact query.
As a rule: use negative phrase for intent categories ("jobs" as a phrase catches "plumbing jobs near me"), and negative exact when you're blocking one specific high-spend query you still want close variants of.
Structure: one shared list, applied everywhere
Campaign-level negatives get out of sync fast. A single shared negative keyword list applied to every search campaign means one place to look and one place to edit. Add a second list only when a campaign genuinely needs different rules — for example a brand campaign that should keep competitor terms.
The weekly routine
Sort the search terms report by cost, descending, over the last 30 days. Filter to conversions = 0. Anything above roughly three times your target cost-per-acquisition with no conversions is a candidate. Read them, block the ones that are clearly wrong-intent, and leave the ones that are simply unlucky — a term with 4 clicks and no conversion hasn't proven anything yet.
That statistical threshold is the part automation does well: it knows how many clicks a term needs before "zero conversions" is meaningful for your account's conversion rate.
See this running on your own account
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