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Negative keywords are a maintenance habit, not a setup task

Negative keywords tend to be treated as configuration: build the list at launch, tick the box, move on. Then six months later a search terms report shows a third of spend going to phrases nobody would have approved.

The list decays because the thing it filters — how people phrase searches, and how Google interprets them — does not hold still.

The three tiers worth keeping

Account-level negatives. Things you never want, anywhere: "free", "jobs", "salary", "how to", competitor brand names if that is your policy, and locations you do not serve. Small, stable, rarely changed.

Campaign-level negatives. Intent that belongs elsewhere. If you run separate campaigns for repair and installation, each is a negative for the other. This is the tier that prevents campaigns cannibalising each other.

Ad group-level negatives. Sculpting within a theme. Use sparingly — over-sculpting fragments data and modern matching makes it less effective than it used to be.

The weekly routine

Fifteen minutes, sorted by cost:

  1. Open search terms for the last 7–14 days.
  2. Sort by cost descending.
  3. Read the top fifty. For each: would I pay for this again?
  4. Negatives for the ones you would not, at the right level.
  5. New keywords for the ones converting that are not already in the account.

Step five is the one people skip, and it is where the value is. Negatives stop waste; promoting proven search terms into their own keywords is what grows the account.

Match types on negatives

Negatives use their own matching rules and they are stricter than positive matching. A broad match negative does not expand to synonyms — it blocks queries containing all the words, in any order. It does not block plurals or misspellings automatically.

That last point causes most negative keyword surprises: blocking "job" does not block "jobs".

The list that is too aggressive

It is possible to over-negative. Signs: impression share falling while position holds, or a campaign that stops finding new converting terms entirely.

A negative list should remove waste, not narrow the account to only what you already thought of. If it has been years since a genuinely new converting search term appeared, the filter is doing too much.

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