Negative Keyword Strategy That Actually Works

Why negatives matter more than you think

Adding 50 negatives to a healthy account typically saves 15-25% of wasted spend. Adding the same 50 negatives to a neglected account (especially with broad-match keywords) can save 50%+. The reason: broad-match expansion is aggressive in 2026, and a single broad keyword can trigger ads for dozens of off-target queries within a week.

Negatives are the cheapest, fastest performance lever in PPC — they require zero new budget, no copy changes, and no testing. The bottleneck is finding them efficiently.

Campaign vs ad-group: when to use each

Campaign-level (default). Use this for ~95% of negatives. They apply to every ad group in the campaign and are easy to audit.

Ad-group-level. Use only when you have a specific funnel separation:

• Brand vs non-brand split. Negate brand terms from your non-brand campaigns; negate non-brand from your brand campaigns.
• Top-of-funnel vs bottom-of-funnel. "best yoga mat" is bottom-of-funnel; negate from your "yoga information" awareness ad group.
• Match-type isolation (SKAG-style). Negate exact-match terms from broad-match ad groups so they only flow through the exact ad group.

Shared negative lists. Use these for company-wide irrelevant terms (job seekers, competitors’ brand names you don’t want to bid on, “free” modifiers). Apply to all relevant campaigns.

How to find negatives at scale

Three methods, in order of speed:

1. Manual search-term report review. Sort by spend descending. For every term that converted poorly or not at all, ask: “Should this trigger my ad?” If no, negate. 30 minutes weekly catches the obvious wasters.
2. N-gram analysis. Group all your search terms by 1-3 word phrases. Surface n-grams with high spend and zero conversions. The pattern: it’s never one query, it’s 50 variations of the same modifier (“cheap,” “free,” “diy,” “jobs,” “reviews”). Negate the n-gram and you eliminate 50 future queries at once.
3. AI / theme clustering. Tools like MarqOps use Gemini to cluster search terms into intent themes and flag “negate this whole theme” recommendations. Faster than manual; better than naive n-grams because it groups semantically (not just lexically).

The conflict trap

Common painful pattern: you add “yoga” as a campaign-level negative because you want only people searching for “yoga mats.” The problem? Your ad group has the keyword “yoga mats” in broad match, which means Google would have served ads for “yoga” → blocked → no ad shown. You’ve negated traffic you wanted.

This is the negative keyword conflict. Three rules:

• Never add a single-word negative if you have multi-word positive keywords containing that word.
• Always preview the conflict by running “match types” analysis: would this negative block any of my active keywords?
• Use phrase-match negatives (“cheap yoga”) instead of broad-match negatives (yoga) for safer narrowing.

The MarqOps free audit includes a negative-conflict checker; the paid platform alerts on new conflicts as your account changes.

Template lists you can copy

Most accounts benefit from these as a baseline. Adjust to your business — for example, an HR-tech company will want “jobs” queries.

Universal job-seeker negatives

jobs
job
hiring
salary
career
employment
recruitment

Universal information-only negatives

how to
diy
youtube
tutorial
example
pdf

Universal cheap-intent negatives (B2B / SaaS)

free
cheap
discount
torrent
crack
bootleg

Universal student-intent negatives

student
academic
homework
thesis
essay

Apply as phrase-match negatives at the campaign level by default. Build longer category-specific lists from your search-term report; clustered AI analysis (like the MarqOps Themes feature) accelerates this dramatically.