Negative Keywords

Last updated: 19 August 2026

1. Executive Summary

Negative keyword management is one of the highest-leverage activities available to a Google Ads practitioner. The five principles below underpin every recommendation in this article.

• Negatives are a system, not a list. Effective management requires account-level, campaign-level, and ad group-level controls working together, supported by shared lists, rather than a single flat exclusion list applied everywhere.^[1]
• Wasted spend is the primary diagnostic. Accounts with fewer than 1,000 negatives waste 28–42% of spend on irrelevant queries; top-quartile accounts waste only 5–12%.^[57] Closing that gap is the measurable goal of this discipline.
• Broad match makes negatives more important, not optional. As broad match expands query coverage, negatives become the principal guardrail preventing irrelevant themes from consuming budget and corrupting Smart Bidding signals.^[9][12]
• Review cadence determines outcomes. A weekly cost-sorted review of the Search Terms report, with daily checks during campaign launches, is the minimum standard for any active account.^[1][3]
• Over-negation carries its own cost. Blocking too aggressively reduces conversion volume, starves Smart Bidding of learning signals, and can suppress legitimate traffic. Every exclusion decision requires deliberate intent.^[8][12]

2. Benchmarks and Numbers at a Glance

Metric	Typical range or threshold	Applies when	Source
Wasted spend — accounts with under 1,000 negatives	28–42% of spend	B2B SaaS Google Ads accounts; 300+ accounts audited	[57]
Wasted spend — top-quartile accounts	5–12% of spend	B2B SaaS Google Ads accounts; 300+ accounts audited	[57]
Industry-baseline negative keyword list size	300–800 negatives	B2B SaaS accounts; represents median maturity	[57]
Top-quartile negative keyword list size	1,500–8,000+ negatives	B2B SaaS accounts with active ongoing management	[57]
Wasted spend — unmanaged non-brand Search and Shopping	15–30% of budget	Accounts with unmanaged or stale negative lists	[48]
Wasted spend — broad match without active monitoring	30–50% of budget	Vendor claim; applies when broad match runs without a negative keyword review process	[60]
Wasted spend — average Google Ads account	20–40% of budget	Vendor claim; applies across account types and verticals	[5]
Irrelevant impressions — top-performing accounts	<5% of impressions	Vendor claim; represents best-in-class negative management standard	[58]
Wasted spend before a structured negative keyword audit	~35% of budget	Pre-audit state in a documented account review	[64]
Wasted spend after a structured negative keyword audit	~8% of budget	Post-audit state in the same documented account review	[64]
Search Terms report review cadence — new campaign launches	Daily during early learning phase	Vendor claim; applies from launch until traffic pattern stabilises	[61]
Search Terms report review cadence — stable campaigns	At least weekly	Vendor claim; applies once campaign traffic is established	[61]
Negative keyword list audit cadence	Monthly	Vendor claim; applies to reviewing existing negatives for over-blocking	[61]

Note: Where figures are marked as vendor claims, treat them as directional rather than statistically validated. The GrowthSpree figures are drawn from a study of 300+ B2B SaaS accounts and carry the most methodological weight in this table.^[57]

3. Why Negative Keywords Matter More with Broad Match

Broad match in 2026 is the default match type Google recommends pairing with Smart Bidding. Its strength — reaching query variants a human keyword planner would not anticipate — is also its principal risk. Without a disciplined negative keyword framework, broad match will expand into adjacent intent categories, job-seeker queries, competitor product names, and how-to research traffic that has no commercial value for most advertisers.^[9][10]

The relationship is asymmetric. Broad match magnifies the consequences of a poorly maintained negative list far more than exact or phrase match does, because exact match already constrains the query space to close variants of your chosen terms. Accounts running broad match without active monitoring waste 30–50% of budget on irrelevant traffic, according to vendor benchmark data.^[60] By contrast, top-quartile accounts using well-structured negatives hold irrelevant spend to 5–12%.^[57]

The practical implication is that broad match and negative keywords are not independent decisions. Choosing broad match without simultaneously investing in negative keyword infrastructure is a structural error. Negatives are the guardrails that allow broad match to discover genuinely useful query variants while preventing it from drifting into irrelevant intent.^[12][14]

There is also a Smart Bidding dimension. Google’s automated bidding learns from the conversion signals it observes on the traffic you allow into the auction. If broad match surfaces high volumes of zero-converting, irrelevant queries before your negatives catch them, Smart Bidding accumulates misleading signals — effectively learning that certain query patterns are acceptable. Cleaning up the traffic pool with negatives is a prerequisite for reliable Smart Bidding performance, not an optional refinement.^[6][12]

4. Negative Match Types Explained

Google Ads supports three negative match types — broad, phrase, and exact — and each behaves differently from its positive counterpart. Understanding the documented behaviour of each is essential for predicting what a negative will and will not block.^[15]

Negative Broad Match

A negative broad match keyword blocks your ad from showing when the search query contains all the terms in that negative keyword, regardless of word order.^[7] It does not require the terms to appear together or in sequence. This makes it the most aggressive of the three types and the most likely to cause over-blocking if applied carelessly. Use it for themes that are universally irrelevant — for example, jobs, free, salary, tutorial — where any query containing these terms is almost certainly outside your target intent.^[6][12]

Negative Phrase Match

A negative phrase match keyword blocks your ad when the search query contains the exact phrase, in the same word order, as the negative keyword. This gives you structural control over recurring unwanted query patterns. For most exclusions beyond universal junk categories, phrase match is the recommended default because it balances precision with coverage.^[12]

Negative Exact Match

A negative exact match keyword blocks your ad only when the search query matches that specific term exactly (or is a very close variant). It carries the lowest risk of over-blocking but is also the easiest to under-apply, since query variants outside that exact form will not be blocked. Use it for one-off problem queries where you need surgical precision without disturbing adjacent traffic.^[12]

One Behaviour Worth Noting

For search queries longer than 16 words, a negative keyword can still block the query if the negative term appears after the 16th word.^[4] This matters when auditing long-tail queries and expecting that a negative should not have matched — it may have.

Match Type Comparison

Negative match type	Blocking rule	Best use	Primary risk	Recommended default?
Broad	Blocks if all negative terms appear in the query, any order	Universal junk categories: jobs, free, DIY, salary	Over-blocking; can suppress valid queries containing the same words in a different context	No — use selectively
Phrase	Blocks if exact phrase appears in query, in order	Recurring unwanted query structures	Moderate; variants with different word order pass through	Yes — best general default
Exact	Blocks only the specific query (or very close variant)	One-off problem queries requiring surgical exclusion	Under-blocking; misses variants outside the exact form	Yes — for specific queries

5. Account, Campaign and Ad Group Level Negatives

Structuring negatives across three levels is the architecture that separates a managed system from an ad hoc list. Each level serves a distinct purpose, and conflating them creates both over-blocking and maintenance complexity.^[1][2][3]

Account-Level Negatives

Account-level negatives (applied via shared lists attached to all campaigns) are the foundation layer. They contain terms that are never relevant to any campaign in the account — universal junk traffic such as job, career, salary, free, DIY, tutorial, how-to, and unrelated industry terms. Centralising these exclusions here prevents repeated work at the campaign level and ensures that new campaigns are immediately protected.^[1][2][7]

Campaign-Level Negatives

Campaign-level negatives handle intent shaping. These are terms that may be valid somewhere in the account but are wrong for a specific campaign’s objective. The most common use case is keeping brand traffic out of non-brand campaigns and generic terms out of brand campaigns. Campaign-level negatives are also used to prevent product-line cannibalism when two campaigns target adjacent audiences.^[1][3][16]

Ad Group-Level Negatives

Ad group-level negatives should be used sparingly and only for surgical overlap control within tightly themed structures. Over-relying on this level creates maintenance burden and obscures the logic of the account over time. Reserve it for cases where two ad groups within the same campaign would otherwise compete for the same query.^[3][9][13]

Level	Scope	What belongs here	Management frequency
Account (shared list)	All campaigns	Jobs, salary, free, DIY, tutorial, unrelated industries, unserved locations	Monthly review; add immediately on discovery
Campaign	One campaign	Brand terms in non-brand campaigns; product lines in wrong campaigns; competitor terms where no conquest campaign exists	Weekly review during Search Terms audit
Ad group	One ad group	Overlap prevention between adjacent ad groups within the same campaign	As needed; audit quarterly to check continued necessity

6. Shared Negative Keyword Lists

Shared negative keyword lists are the most efficient mechanism for applying consistent exclusions across multiple campaigns without duplicating maintenance effort. In 2026, using shared lists for universal exclusions is standard practice among well-managed accounts.^[1][4][17]

Google Ads allows you to create named shared lists in the Tools section and apply them to as many campaigns as needed. When you update a shared list, the change propagates to every campaign it is attached to simultaneously — a significant operational advantage over campaign-by-campaign management.^[15]

Recommended Shared List Architecture

Rather than maintaining one monolithic shared list, organise exclusions into thematic lists. This makes auditing easier and allows you to attach specific lists only to the campaigns where they are relevant, rather than applying every exclusion globally.^[1][4][19]

• Universal Junk List: Jobs, careers, salary, free, cheap, DIY, how-to, tutorial, YouTube, Reddit, Wikipedia. Attach to all campaigns.
• Brand Exclusions List: Your own brand terms in phrase and exact match. Attach to all non-brand campaigns.
• Competitor Exclusions List: Named competitor brands. Attach selectively — only to campaigns where you are not running a conquest strategy.
• Industry Irrelevants List: Terms specific to adjacent industries that are similar to your keywords but signal different intent. Attach to campaigns where that confusion risk exists.
• Geographic Exclusions List: Locations you do not service, if they appear in search queries. Attach to all campaigns or only to those affected.

One important limitation: if you manage a large account with many campaigns, verify current list caps and keyword limits within the Google Ads UI before building your architecture around any published number, since published third-party figures on platform limits can be outdated.^[3]

Display and Video Campaigns

In Display and Video campaigns, Google treats all negative keywords as broad match regardless of how they are entered.^[15] This makes shared list design especially consequential outside Search — a term added as phrase match on a shared list will function as broad match when that list is applied to a Display or Video campaign. Design Display-specific lists separately or document the match-type behaviour clearly for anyone managing those campaigns.

7. Working the Search Terms Report

The Search Terms report is the primary data source for identifying both negative keyword opportunities and new keyword additions. Working it effectively requires a defined process, not ad hoc browsing.^[2][3][5]

Opening Protocol

Every review session should begin with the same sequence. Set the date range to the last 7 days for the working view — a 7-day lens catches new waste quickly without diluting the signal with stale data.^[1][3] Sort by cost descending immediately. Sorting by impressions is a common mistake that draws attention to high-volume queries that may cost little, while expensive irrelevant queries with lower impression counts remain invisible.^[1][6]

What to Look For

• Zero-conversion spend above target CPA: Any query that has spent more than your target CPA with zero conversions is a strong negative candidate. Flag it immediately.^[1][6][15]
• Off-topic intent: Queries that contain your keywords but signal research, job-seeking, competitor comparison, or unrelated-category intent. These require manual judgement — the report cannot determine relevance automatically.^[1][3][14]
• Recurring waste patterns: The same theme appearing across many different queries — for example, multiple variants of “how to”, “tutorial”, or a competitor name — is a signal that a shared list needs updating rather than individual negatives being added one by one.^[3][8]
• Converting queries not yet targeted: Search terms generating conversions that do not match any existing keyword exactly should be evaluated for promotion to exact match keywords with dedicated ad copy.^[1][3][15]

N-Gram Analysis for Scale

For accounts with high query volume, manual row-by-row review is insufficient. N-gram analysis — examining which individual words or two-word combinations appear most frequently across costly, non-converting queries — allows pattern-based negative identification at scale. A query might individually be borderline, but if the word “training” appears in 40 zero-converting queries across the last 30 days, that is a systemic waste pattern, not a one-off.^[4]

Promoting Converting Queries to Keywords

When a search term generates conversions and is not already captured by an exact match keyword, evaluate whether it deserves dedicated control. Promote it to exact match if it has sufficient volume and commercial intent to justify its own keyword, ad copy, and landing page alignment.^[1][15] Do not promote every converting query automatically — assess whether dedicated control is worth the structural complexity.

8. Brand, Competitor and Cross-Campaign Negatives

Brand and competitor negative keyword decisions are strategic, not mechanical. Unlike universal junk exclusions, these require deliberate choices about campaign intent, budget allocation, and commercial objectives before any negative is applied.^[1][3][18]

Brand vs Non-Brand Separation

The most common and most important application of campaign-level negatives is preventing brand traffic from entering non-brand campaigns. When a user searches your brand name and your broad match non-brand campaign captures that query, you pay non-brand CPCs for a query you should be winning cheaply on brand terms, and you corrupt your non-brand performance data with high-converting brand traffic. The fix is to add your brand terms (and common misspellings) as phrase match negatives in all non-brand campaigns.^[3][16][18]

The reverse also applies: generic category terms should typically be excluded from brand campaigns to keep brand campaigns focused on navigational and brand-aware queries, and to prevent them from cannibalising non-brand campaign data.^[1][18]

Competitor Negatives

Competitor term management is a strategic decision, not a default setting. The two scenarios are mutually exclusive:

• No conquest strategy: Add competitor brand names to a Competitor Exclusions shared list and apply it to all campaigns. This prevents spend on traffic with no plausible conversion pathway and keeps your impression share data clean.^[1][4][6]
• Active conquest strategy: Do not apply competitor names as account-wide negatives. Instead, isolate them in a dedicated conquest campaign where you can manage bids, messaging, and budget separately. Apply the competitor exclusion list only to your non-conquest campaigns to prevent leakage.^[4][18]

Do not make competitor terms account-wide negatives if you run dedicated conquest campaigns — doing so would block your own conquest strategy.^[4][18]

Cross-Campaign Cannibalism

In multi-campaign accounts, broad match can cause one campaign to capture traffic intended for another. The diagnostic is straightforward: if the same search query appears in the Search Terms report for two different campaigns in the same week, one of them is being served incorrectly. Use campaign-level negatives to route each query to its intended campaign — typically by adding the overlapping term as a phrase match negative in the lower-priority campaign.^[1][3][9]

9. Negatives and Smart Bidding

Smart Bidding and negative keyword management have a reciprocal relationship that is frequently misunderstood. The common misconception is that Smart Bidding reduces the need for negatives because the algorithm will “learn” to avoid irrelevant queries. This is incorrect. Smart Bidding optimises bid decisions for queries that enter the auction — it does not prevent irrelevant queries from entering the auction in the first place. That function belongs entirely to negative keywords.^[9][12][14]

How Dirty Traffic Harms Smart Bidding

When irrelevant queries enter the auction and receive clicks, Smart Bidding records those interactions as part of its learning data. If irrelevant queries generate zero conversions, the algorithm eventually learns to bid lower on those patterns — but this takes time and wastes budget during the learning period. More problematically, if irrelevant queries occasionally generate an accidental conversion (for example, a job-seeker who also happens to purchase), the algorithm may incorrectly reinforce those query patterns as valuable. Clean traffic pools are a prerequisite for reliable Smart Bidding, not a refinement applied after the bidding is working well.^[6][8][12]

The Over-Negation Risk

The counterbalancing risk is real: adding too many negatives reduces the total conversion volume available for Smart Bidding to learn from. Most Smart Bidding strategies require a minimum of 30–50 conversions per month per campaign to move out of the learning phase and into stable optimisation. If aggressive negating reduces your conversion volume below that threshold, Smart Bidding will remain perpetually in learning mode, producing volatile CPAs and unreliable delivery.^[8][12]

The practical implication is to prioritise negatives that address clear intent mismatches (zero-converting queries above target CPA) rather than blocking borderline queries that occasionally convert. When in doubt, monitor before blocking.^[6][12]

Negatives in Performance Max

Performance Max campaigns in 2026 support account-level negative keyword lists. Applying your Universal Exclusions shared list to PMax is a minimum baseline — PMax’s broader inventory reach across Search, Display, YouTube, Gmail, and Maps makes exclusion management even more consequential than in standard Search campaigns.^[19] Campaign-level negative keywords within PMax are available through Google Ads support request for established accounts; verify current UI availability within your account before relying on published information about PMax negative access.

10. Review Cadence and Workflow

A defined review cadence transforms negative keyword management from a reactive task into a systematic discipline. The right cadence depends on account spend level, campaign age, and match type mix.^[1][3][5]

Recommended Cadence by Account Stage

Account stage	Search Terms report cadence	Negative list audit cadence	Date range to use
New campaign launch (first 2 weeks)	Daily	Daily review of new additions	Last 24–48 hours
Active campaign, broad or phrase match	Weekly	Monthly	Last 7 days for working view
High-spend or high-velocity (>$20,000/month)	Twice-weekly	Monthly	Last 7 days
Stable, lower-spend account (<$3,000/month)	Weekly minimum; bi-weekly acceptable	Quarterly	Last 14–30 days
New campaign launch (weeks 3–8)	Weekly	Monthly	Last 7 days

Workflow for Each Review Session

• Step 1 — Open Search Terms report, set to last 7 days, sort by cost descending. This immediately surfaces where budget went, not where impressions went.^[1][6]
• Step 2 — Flag zero-conversion queries above target CPA. These are your highest-priority negatives. Action them before anything else.^[1][6][15]
• Step 3 — Scan for intent mismatches. Read the top 50 queries by cost for obvious off-topic intent that the algorithm cannot detect automatically.^[1][3]
• Step 4 — Identify recurring patterns. If the same root word or phrase appears in 5 or more non-converting queries, consider a shared list addition rather than individual negatives.^[3][8]
• Step 5 — Review converting queries for keyword promotion. Flag search terms generating conversions that are not matched by an existing exact match keyword for potential promotion.^[1][3][15]
• Step 6 — Log every change. Record the date, the term added, the match type, the level (account/campaign/ad group/shared list), and the reason. This log is essential for later audits and for avoiding the removal of strategically placed negatives.^[1][3]

Monthly Negative List Audit

Monthly audits of existing negative lists serve a different purpose from weekly Search Terms reviews. The monthly audit checks for over-blocking: terms that were added as negatives months ago and may now be suppressing valid traffic as your product range, target audience, or market conditions change. What was irrelevant last quarter may be a legitimate query today.^[6][8][61] Use Change History to correlate performance dips with negative keyword additions and investigate any case where a significant impression or conversion drop followed a bulk negative addition.^[4][5]

11. Common Mistakes to Avoid

The following errors appear consistently across account audits in 2026. Each one is avoidable with a defined process and deliberate decision-making.^{[1][3][9][12]}

Adding Negatives Without Logging the Reason

In multi-manager accounts, negatives added without documentation create compounding problems. A term blocked for a specific strategic reason six months ago may be removed by a new team member who sees it as incorrect. The log does not need to be complex — date, term, match type, level, and a one-sentence reason is sufficient, but it must be maintained consistently.^[1][3]

Using Broad Match Negatives Indiscriminately

Broad match negatives applied to common words can suppress large volumes of legitimate traffic without any visible alert in the UI. A single broad match negative for a word like “system”, “service”, or “solution” in a B2B account can block hundreds of relevant queries silently. Reserve broad match negatives for terms that are irrelevant in every possible context.^[7][12]

Reviewing by Impressions Instead of Cost

Sorting the Search Terms report by impressions directs attention to high-frequency queries that may be cheap and relatively harmless, while expensive irrelevant queries with lower impression counts remain unaddressed. Always sort by cost first.^[1][6][15]

Neglecting New Campaigns in the First 72 Hours

New campaigns on broad or phrase match can generate significant irrelevant traffic within 48–72 hours of launch. Waiting a week to conduct the first Search Terms review means budget has already been wasted on queries that a prompt audit would have caught. New campaigns require daily review during the first two weeks.^[5][61]

Applying Competitor Negatives Account-Wide When Running Conquest Campaigns

Adding a competitor’s brand name to an account-level negative list blocks every campaign, including any dedicated conquest campaign targeting that competitor’s audience. Competitor negatives must be applied at the campaign level with deliberate attention to which campaigns they are and are not attached to.^[4][18]

Never Revisiting Old Negatives

A negative keyword added in January may be suppressing a query pattern that became commercially relevant by July as your product range, pricing, or target market evolved. Treating the negative list as permanent once established is one of the most common causes of unexplained impression decline in mature accounts.^[6][8][61]

Over-Negating to the Point of Starving Smart Bidding

Aggressive bulk negation that pushes monthly conversion volume below 30–50 conversions per campaign will trigger Smart Bidding learning instability, producing volatile CPAs and erratic delivery. Every negative added during an active Smart Bidding campaign should be evaluated for its likely impact on total conversion volume, not just its impact on individual query relevance.^[8][12]

12. What Changed Recently (Last 30 Days)

As of August 2026, there is no single documented Google Ads product launch or formal policy change specifically targeting negative keywords or the Search Terms report in the last 30 days. What the available sources confirm is a set of reinforced operational practices and clarified platform behaviours that practitioners should be aware of.^[4][5]

Reinforced Platform Behaviours

• Search Terms report remains the primary source for negative keyword discovery. Google’s help documentation continues to recommend using the report to identify irrelevant queries and adding them as negatives directly from the report interface.^[14][15]
• Change History is the built-in audit mechanism. When investigating a performance shift, use Change History to correlate the shift with newly added negative keywords within the same date range. This remains the only native tool within Google Ads for this purpose — there is no dedicated “negative keywords added” report available through the standard UI or API in the materials reviewed.^[4][5]
• Negative broad match behaviour is unchanged. For negative broad match, your ad will not show if the search contains all negative keyword terms, even if they appear in a different order. This documented behaviour has not changed but remains the most commonly misunderstood aspect of negative match type mechanics.^[7]
• Negative match types remain editable in the UI. You can edit the match type of an existing negative keyword within the Google Ads interface without deleting and re-adding the term.^[6][15]
• The 16-word query rule applies. For search queries longer than 16 words, a negative keyword can still match and block the query if the negative term appears after the 16th word. This behaviour is documented but easy to overlook when auditing unexpected blocks on long-tail queries.^[4]

Operational Emphasis Shifts in the Last 30 Days

The most recent practitioner guidance (published in July–August 2026) emphasises three operational adjustments over previous recommendations:^[57][61][64]

• Review the last 30 days of search terms, not just the last 7 days, when conducting monthly audits. A 7-day lens is appropriate for weekly working reviews, but the monthly audit should use a 30-day window to catch slower-developing waste patterns and seasonal shifts.^[4]
• Prioritise over-blocking audits, especially for accounts that were aggressively negated in Q1–Q2 2026. Several accounts that underwent bulk negative audits earlier in 2026 are now showing signs of suppressed impression share in categories that have since become commercially relevant. Monthly audits using Change History are the diagnostic tool.^[7][9]
• Maintain a running log outside the Google Ads UI. Google Ads does not provide a simple exportable report of “all negative keywords added in a date range” from Change History. External documentation — a shared spreadsheet or project management log — remains the only reliable way to maintain institutional knowledge about why specific negatives were added.^[1][4]

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