Google Ads Brand vs Non-Brand Best Practices

Last updated: 6 August 2026

1. Executive Summary

Google Ads brand and non-brand strategy in 2026 is built on five foundational principles that every senior digital marketer should internalise before touching campaign structure, bidding, or reporting.

• Separate everything. Brand and non-brand campaigns must be isolated in separate campaigns with separate budgets, separate efficiency targets, and separate reporting views. Mixing them makes both budget control and performance measurement unreliable, because brand traffic converts at 8–15% while non-brand converts at 1–4%.^[72]
• Bid on brand defensively, not reflexively. The decision to bid on your own brand terms must be driven by incrementality evidence and competitive pressure, not habit. If competitors are absent and your organic result dominates the page, paid brand spend may produce zero incremental conversions.^[22]
• Enforce brand exclusions in Performance Max and broad match. Without explicit brand exclusions, automated campaigns will absorb branded demand and report inflated ROAS that reflects captured intent rather than new demand creation.^[1][4]
• Scale non-brand incrementally and with clean governance. Increase non-brand budgets by no more than 15–20% at a time, review search terms weekly, and expand horizontally into new keyword themes before pushing more spend into existing audiences.^[3]
• Report brand and non-brand separately for decisions, together for executive visibility. A blended account ROAS of 4.2x can hide a non-brand ROAS of 3.1x and a brand ROAS of 8.2x operating on very different economics.^[76] Both views are necessary; neither alone is sufficient.

2. Benchmarks and Numbers at a Glance

Metric	Typical range or threshold	Applies when	Source
Branded Search CTR	15–30%	Vendor claim; applies to established brands with strong organic presence	[72]
Non-branded Search CTR	2–6%	Vendor claim; applies to standard non-brand Search campaigns	[72]
Branded Search conversion rate	8–15% (general); 15–25% (B2B SaaS); 30–60% (healthcare)	Vendor claim; upper range applies to high-intent verticals such as healthcare and SaaS	[72][79][20]
Non-branded Search conversion rate	1–4% (general); 5–15% (healthcare lead gen)	Vendor claim; varies significantly by vertical and landing-page quality	[72][79]
Branded Search CPC	USD $0.50–$2.00 (general); USD $0.65 (e-commerce benchmark); USD $3.12 (cross-industry study)	Study (e-commerce and cross-industry); brand CPCs are 10–30% of non-brand CPC in most verticals	[72][76][77]
Non-branded Search CPC	USD $1.50–$8.00 (general); USD $10–$20 (e-commerce); USD $13.75 (cross-industry study)	Study (e-commerce and cross-industry); non-brand CPC is 3–10x brand CPC depending on vertical	[72][76][77][78]
Branded Search cost per lead	USD $34 (cross-industry study median)	Study; non-brand CPL is approximately 6x brand CPL	[77]
Non-branded Search cost per lead	USD $207 (cross-industry study median)	Study; reflects incremental acquisition cost versus defended brand demand	[77]
Branded Search incremental ROI	4.14x median (one study); 8.05x (second study)	Study; discrepancy likely reflects different verticals and attribution methods — use the more conservative 4.14x as a planning floor	[71][81]
Non-branded Search incremental ROI	5.21x median	Study; both sources agree on 5.21x for non-brand, making this figure more reliable	[71][81]
Branded Search ROAS vs non-brand ROAS	Brand ROAS 10–20x higher than non-brand; e-commerce example: brand 8.2x vs non-brand 3.1x, blended 4.2x	Study (e-commerce); vendor claim (general); blended ROAS always overstates non-brand efficiency	[76][78]
Brand share of total Google Ads budget	5–7% (B2B SaaS); 15–18% (e-commerce)	Vendor claim (B2B SaaS); study (e-commerce); range reflects different growth stages and competitive intensity	[20][76][78]
Average Search CTR (all campaign types)	6.64% (13,000+ US campaigns, April 2025–March 2026)	Study; blended brand and non-brand; useful as a sanity-check benchmark rather than a target	[73]
Non-brand budget increase per optimisation cycle	Maximum 15–20% per adjustment	Best-practice recommendation; allows Smart Bidding to re-stabilise before the next change	[3]

3. Why Separate Brand and Non-Brand

The single most important structural decision in a Google Ads account is whether brand and non-brand traffic are isolated from each other. In 2026, separating them is not merely a tidiness preference — it is a prerequisite for reliable budget control, accurate bidding, and trustworthy measurement.^[2][13][15]

The intent gap is too large to ignore

Brand searches come from users who already know your business exists. They are closer to converting, they click at 15–30% CTR, and they convert at 8–15%.^[72] Non-brand searches come from users exploring a category; they click at 2–6% CTR and convert at 1–4%.^[72] When both traffic types share a campaign, Smart Bidding reads a blended signal and sets bids that are neither optimal for brand defence nor optimal for non-brand prospecting. The result is systematic under-bidding or over-bidding on at least one segment.

Blended metrics lie to you

An e-commerce account with a brand ROAS of 8.2x and a non-brand ROAS of 3.1x reports a blended ROAS of 4.2x when combined.^[76] That blended figure will pass any reasonable target review, masking the fact that non-brand prospecting may be borderline unprofitable. Leadership making budget decisions from a blended view will under-invest in the channel that actually grows the customer base.

Automation amplifies the problem

Performance Max and broad match campaigns learned from conversion signals. If brand queries — which convert cheaply and often — are allowed to flow through an automated campaign, the system learns that certain audience profiles and intent signals produce easy conversions. It then biases future spend toward users already close to converting, including branded users, at the expense of genuine prospecting.^[4][13]

Clean structure enables incrementality testing

A dedicated brand campaign makes it possible to pause brand spend in one geography while leaving it running in another, giving a clean geo holdout test for incrementality. That test is impossible if brand and non-brand traffic are tangled together.^[2][4]

4. Should You Bid on Your Own Brand

The 2026 consensus is clear: brand bidding is a defensive, measurement-driven tactic, not a universal rule.^[22][23] The question is not “should we always bid on brand?” but “does paid brand spend produce conversions we would not otherwise capture, and if so, how much should we pay for them?”

The incrementality test is the only honest answer

The most defensible approach is to run a geo holdout or time-based experiment: pause brand campaigns in one market while leaving them running in a comparable market, then measure whether total conversions (paid plus organic) decline in the paused market.^[3][4] If total conversions are flat, the paid brand clicks were cannibalising organic. If total conversions fall, the brand campaign was adding incremental value.

When bidding on brand is justified

• Competitors are active on your brand terms. If Auction Insights shows a competitor appearing on your brand queries more than 20% of the time, paid brand ads protect message control and top-of-page position.^[22][24]
• Mobile search is primary. On mobile, one paid ad and one organic result may occupy the entire visible screen. A competitor in position 1 can capture the click before a user sees your organic listing.^[22]
• You need message control. A promotional period — for example, a product launch in Q3 2026 — may require specific ad copy that your organic title cannot carry. A brand campaign gives you that control.^[2]
• Brand CPCs are low enough to justify the insurance. At USD $0.50–$2.00 per click,^[72] or approximately AUD $0.78–$3.10 at mid-2026 exchange rates, brand clicks are inexpensive enough that even modest incrementality justifies the spend.

When you may not need to bid on brand

• Your organic result holds position 1 and Auction Insights shows zero competitor presence.
• An incrementality test confirms that pausing brand spend does not reduce total conversions.
• Budget is constrained and non-brand or remarketing campaigns have a demonstrably higher incremental return per dollar.^[22]

Recommended setup if you do bid

Use a dedicated brand Search campaign with exact and phrase match for core brand terms including common misspellings and product-name variations. Set a Target Impression Share bid strategy targeting 90–95% absolute top of page. Monitor Auction Insights weekly and raise bids only when impression share drops below your defensive threshold.^[2][4] Exclude brand from all non-brand campaigns and Performance Max so brand traffic is intentional, not accidental.^[1][3]

5. Brand Defence and Competitor Bidding

Brand defence in 2026 encompasses two distinct challenges: protecting your own brand terms from competitor intrusion, and deciding whether to bid on competitors’ brand terms yourself. Both require a disciplined, data-led approach.^[24]

Defending your own brand terms

The primary tools for brand defence are a dedicated brand Search campaign with tight match types, Auction Insights monitoring, and a Target Impression Share bid strategy set to 90–95% absolute top of page.^[2][4] Brand CPCs are typically 10–30% of non-brand CPCs,^[79] meaning that maintaining dominant brand impression share is almost always cost-efficient relative to the value of the traffic being protected.

Monitor Auction Insights at least fortnightly. If a competitor’s impression share on your brand terms rises above 25%, consider increasing your brand campaign budget by 20–30% and reviewing ad copy to ensure your ads clearly signal official origin — for example, “Official [Brand] Store” or “Direct from [Brand]”.^[2][6]

Bidding on competitors’ brand terms

Bidding on a competitor’s brand name is legal in Australia under Google’s trademark policy, provided the ad copy does not use the trademarked term in a misleading way.^[11] The strategic value depends on the competitive gap: if your product is a credible alternative and the competitor’s brand is well-known in your target market, a small competitor brand campaign can intercept high-intent users at the consideration stage.

The economics are less favourable than defending your own brand. Competitor brand CPCs are typically higher than your own brand CPCs because Quality Scores are lower — your landing page is not about their brand. Expect CPCs 2–4x higher than your own brand CPC and conversion rates well below your brand CVR. Budget competitor brand campaigns modestly and measure them against your non-brand efficiency targets, not your brand targets.

Structuring competitor campaigns

• Create a separate competitor campaign — never mix competitor terms with your own brand or non-brand campaigns.^[24]
• Use phrase match rather than exact match to capture variations without overspending on irrelevant queries.
• Write ad copy focused on your differentiation rather than naming the competitor directly.
• Add your own brand terms as negatives so competitor traffic does not inflate brand reporting.
• Review search terms weekly, as competitor brand queries often attract irrelevant traffic.

6. Structuring Brand and Non-Brand Campaigns

A clean account structure in 2026 is the foundation on which bidding, budgeting, and reporting all depend. The recommended architecture separates brand, non-brand, and Performance Max into distinct campaigns with explicit budget and exclusion boundaries.^[1][2][7]

Recommended campaign architecture

• Brand Search campaign: Exact and phrase match only for your brand name, product names, common misspellings, and branded URL terms. This campaign gets a fixed budget independent of non-brand spend. Bid strategy: Target Impression Share at 90–95% absolute top of page, or Target CPA set well below your non-brand CPA target.
• Non-brand Search campaigns: One or more campaigns organised by intent theme, product category, or margin tier. All brand terms added as negative keywords at the campaign level. Bid strategy: Target CPA or Target ROAS aligned to non-brand economics.
• Performance Max — non-brand: Brand exclusions applied so the campaign cannot absorb branded queries. Asset groups organised by product category. Brand exclusion list updated whenever new brand terms are identified.^[1][3]
• Competitor campaign (optional): Separate campaign for competitor brand terms if the economics justify it (see Section 5). Never mix with brand or non-brand campaigns.

Naming conventions

Use a consistent naming convention that makes campaign type immediately visible in reporting. A workable format is: [BRAND] — Search — [Geo] and [NON-BRAND] — Search — [Theme] — [Geo]. This allows filtering in Google Ads, Looker Studio, and any BI tool without custom segmentation logic.^[4]

Negative keyword architecture

Add brand terms as negatives in every non-brand Search campaign and at the account level where the Google Ads interface permits. Maintain a shared negative keyword list for brand terms and apply it to all non-brand and PMax campaigns. Review the list quarterly and whenever a new product or brand variant is launched.^[1][2]

Match type guidance by campaign type

Campaign type	Recommended match types	Rationale
Brand Search	Exact and phrase match	Controls spend precisely on branded queries; avoids brand budget leaking into generic terms
Non-brand Search (core)	Exact and phrase match initially; broad match once 50+ conversions per month achieved	Builds a clean conversion signal before broadening; reduces waste during learning phase
Non-brand Search (scaling)	Broad match with Smart Bidding and negative keywords	Enables horizontal expansion once bidding system has sufficient data
Performance Max	N/A — asset-based; apply brand exclusions instead of match types	PMax does not use traditional match types; brand exclusions are the control mechanism
Competitor brand	Phrase match	Captures variations without over-reaching; exact match is too narrow for competitor terms

7. Non-Brand Prospecting and Growth

Non-brand prospecting is the primary engine of new customer acquisition in a paid search account. In 2026, scaling it effectively means combining clean campaign structure, disciplined budget management, and horizontal expansion rather than simply pushing more spend into the same keywords.^[3][9]

Start tight, then expand

Launch new non-brand campaigns with exact and phrase match on high-intent queries that closely reflect commercial intent — for example, “emergency plumber Sydney” rather than “plumbing tips”. Accumulate at least 50 conversions per month in the campaign before broadening to broad match. This ensures Smart Bidding has a meaningful conversion signal before it begins exploring less predictable query territory.^[3][16]

Scaling incrementally

Increase non-brand campaign budgets by no more than 15–20% at a time and wait at least 7–14 days for the system to re-stabilise before the next increase.^[3] Larger jumps force the bidding algorithm into a new learning phase that often produces a temporary CPA spike, making it harder to distinguish a structural problem from a budget-change artefact.

Horizontal expansion before vertical scaling

Before simply adding budget to existing campaigns, consider whether there are adjacent keyword themes, new geographic markets, or new product categories that represent genuinely incremental demand. Horizontal expansion into new themes typically produces a better incremental return per dollar than pushing more budget into a saturated existing keyword set.^[3][9]

Search term governance

Review non-brand search terms weekly, especially in the first 90 days of a new campaign or after any broad match expansion. Add irrelevant terms as negatives immediately. Maintain a structured negative keyword list organised by theme (brand, competitor, informational, irrelevant vertical) so negatives are applied consistently across all non-brand campaigns.^[1][3]

Audience signals and first-party data

Layer Customer Match lists and remarketing audiences as observation signals on non-brand campaigns. This gives Smart Bidding richer input about user quality without restricting reach. Upload first-party CRM data quarterly and refresh Customer Match lists monthly to keep the signal current.^[3]

8. Brand Exclusions in PMax and Broad Match

Performance Max and broad match campaigns are the two environments in which brand traffic most commonly bleeds into what should be a non-brand prospecting budget. Without explicit controls, automated campaigns will find and convert branded queries because they are the easiest conversions available — and then report efficiency metrics that reflect that branded demand rather than genuine prospecting performance.^[1][4][13]

Brand exclusions in Performance Max

Google’s brand exclusion feature for Performance Max allows advertisers to specify brand names and prevent PMax from showing ads to users searching for those terms. As of mid-2026, this control has been extended to also exclude users who have recently searched for or interacted with the brand — a behavioural exclusion that goes beyond simple keyword matching.^[11] This is a significant development: it means that even users who are brand-aware but searching a generic category can be excluded from PMax targeting, keeping the campaign focused on cold prospecting.

Apply brand exclusions to PMax campaigns in three layers:

• Brand name variations: Include the legal entity name, trading name, common abbreviations, and known misspellings.
• Product names: Include flagship product names if they have sufficient search volume to attract their own queries.
• Branded URL terms: Include the domain name if users commonly search it as a query.

Review PMax search term insights monthly and add any brand-adjacent terms that appear in the report but are not yet on the exclusion list.^[1]

Brand negatives in broad match campaigns

Broad match keywords in non-brand Search campaigns will match brand queries if brand terms are not explicitly negated. Add all brand variants as exact match negatives in every broad match campaign. Apply them at the campaign level rather than only the ad group level to ensure complete coverage.^[1][2]

AI Max and branded search controls

Google’s AI Max feature for Search campaigns is in active testing as of August 2026 and includes more explicit controls for managing branded traffic separately from non-brand traffic within automated Search.^[8] Where AI Max is available, review its branded traffic controls and apply the same brand exclusion logic you use for PMax. Do not assume that existing negative keyword lists automatically carry over to AI Max placements — verify in the campaign settings.^[8]

9. Measuring Brand vs Non-Brand Performance

Measurement is the area where brand and non-brand strategy most commonly breaks down. Blended account metrics are useful for executive communication but destructive for optimisation decisions. The 2026 best practice is to maintain both a separated view for decision-making and a blended view for business-level reporting.^[3][4]

Core metrics by campaign type

Metric	Brand Search	Non-Brand Search	Performance Max (post-exclusion)
Primary efficiency metric	CPL / CPA (target well below non-brand)	CPL / CPA vs. target; incremental ROAS	ROAS; new customer share
Coverage metric	Absolute Top Impression Share (target 90–95%)	Search Impression Share on priority terms	Impression coverage by asset group
Quality metric	CTR (benchmark: 15–30%[72]); Quality Score	CTR (benchmark: 2–6%[72]); Quality Score	Asset performance ratings; search term quality
Competitive metric	Auction Insights; competitor IS on brand terms	Auction Insights; IS lost to rank vs. budget	N/A — no direct auction comparison available
Incrementality indicator	Geo holdout test; organic conversion rate during pause	New-to-brand conversion share; holdout test	Lift study; new customer vs. returning customer split

Setting efficiency targets

Brand and non-brand campaigns must have different efficiency targets because their underlying economics are structurally different. Using the benchmark figures from research: brand CPL averages USD $34 vs. non-brand USD $207 — a 6x gap.^[77] Setting both campaigns to the same Target CPA will result in either over-spending on brand (if the target is set at non-brand level) or under-defending brand impression share (if the target is set at brand level).

Incrementality measurement

The most robust incrementality measurement approach available to most accounts without access to conversion lift studies is a geo holdout test: pause brand or non-brand campaigns in one comparable market while leaving them running in another, and measure the change in total conversions (not just paid conversions) across both markets. This approach is practical at the state or city level in Australia and requires at least 28 days to produce reliable data.^[3][4]

10. Reporting and Avoiding Inflated Results

Google Ads reporting has an inherent structural bias toward making blended accounts look efficient, because brand traffic — which converts cheaply and at high rates — is pooled with non-brand traffic in default account-level summaries. Avoiding inflated results requires deliberate reporting architecture, not just careful reading of standard reports.^[3][4][15]

The three most common reporting inflation traps

• Blended ROAS masking non-brand underperformance. An account with brand ROAS of 8.2x and non-brand ROAS of 3.1x reports a blended ROAS of 4.2x.^[76] If the target ROAS is 4.0x, the account appears to be passing — when in fact, isolating non-brand reveals it is 25% below the target on the traffic type that actually grows the business.
• PMax brand bleed inflating automated campaign ROAS. Documented above in Section 8. Without brand exclusions, PMax ROAS can be 5–7x higher than its true non-brand ROAS.^[4]
• Conversion window misalignment between brand and non-brand. If brand campaigns use a 7-day conversion window and non-brand campaigns use a 30-day window, comparing CPA across them is not meaningful. Standardise conversion windows across the account.

Recommended reporting structure

Produce two report views for every reporting cycle:

• Segmented view: Brand Search, Non-Brand Search, PMax (non-brand), and any other campaigns reported separately with individual CPL/ROAS, impression share, and CTR. This is the decision-making view.
• Blended view: Total account spend, revenue, and ROAS for executive communication. Include a footnote showing what percentage of total conversions came from brand terms so leadership understands the composition.

Export raw data and calculate brand vs. non-brand metrics in a BI tool or spreadsheet rather than relying on Google Ads interface summaries, which do not natively segment by brand vs. non-brand without custom labels or scripts.^[4]

Change history as a diagnostic tool

When performance changes unexpectedly after a campaign restructure or new exclusion is applied, use Change History to verify the exact date and setting of the change.^[54] This is particularly important when brand exclusions are added to PMax: reported ROAS will typically decline immediately after exclusions are applied, as brand conversions are removed from the campaign’s attribution. Without Change History to anchor the date, this decline can be misread as a performance problem rather than a measurement correction.

11. Common Mistakes to Avoid

The following mistakes are the most consequential and the most frequently observed across brand and non-brand Google Ads strategy. Each one degrades either measurement accuracy, budget efficiency, or both.^{[2][3][4][13]}

• Running brand and non-brand in the same campaign. This is the most damaging structural error. It corrupts bidding signals, inflates non-brand performance metrics, and makes budget control impossible. Separate immediately if this is occurring.
• Applying the same CPA or ROAS target to brand and non-brand. Brand CPL benchmarks at USD $34; non-brand at USD $207.^[77] A single target will mistreat both campaign types simultaneously.
• No brand exclusions in Performance Max. PMax will preferentially capture brand conversions because they are the easiest available signal. Without exclusions, every PMax ROAS figure is suspect.
• Bidding on brand “just because everyone does” without incrementality evidence. If organic already captures the demand, brand spend is a cost without a return.^[22]
• Making budget changes larger than 20% in a single step on non-brand campaigns. Changes above 20% trigger a Smart Bidding re-learning phase that can temporarily inflate CPA by 15–40%, making it difficult to evaluate whether a subsequent performance problem is structural or transitional.^[3]
• Ignoring search term reports after enabling broad match. Broad match without weekly negative keyword governance in non-brand campaigns will progressively waste budget on irrelevant and brand-adjacent queries.^[1][3]
• Reporting blended ROAS to leadership without context. A blended ROAS figure without disclosure of brand contribution percentage will systematically overstate non-brand efficiency and lead to under-investment in prospecting or over-investment in channels that harvest existing demand.^[4][15]
• Not updating brand exclusion lists when new products or brand variants launch. Brand exclusions are only as good as the list they reference. Every new product launch, trademark, or URL variant must be added within the same week it goes live.
• Using impression share alone to justify brand spend. Impression share tells you how often your ad appeared; it does not tell you whether those appearances produced incremental value. Always pair impression share with a total conversion comparison that includes organic.^[4][12]
• Mixing competitor brand terms with non-brand campaigns. Competitor brand terms have different Quality Score dynamics, conversion rates, and economic profiles. Keeping them in the same campaign as non-brand terms corrupts both the bidding signal and the reporting.

12. What Changed Recently (Last 30 Days)

As of August 2026, the most significant development affecting brand and non-brand Google Ads strategy is the expanded rollout of behavioural brand exclusion controls for Performance Max and automated Search campaigns.^[11] Previously, brand exclusions in PMax operated primarily on keyword-matching logic — excluding ads from appearing on queries containing brand terms. The updated controls allow advertisers to exclude users who have recently searched for or recently interacted with the brand, regardless of the specific query they are running at the time of the auction.^[11]

What the new controls mean in practice

• Non-brand prospecting becomes cleaner. A user who searched for your brand name yesterday can now be excluded from PMax non-brand targeting today, even if today’s query is generic (e.g. “accounting software”). This reduces the overlap between brand and non-brand campaigns at the audience level, not just the keyword level.^[11]
• New-customer acquisition measurement improves. Excluding recent brand engagers from PMax gives a more accurate read on whether the campaign is generating genuinely new demand or recycling existing brand awareness.^[11]
• Classic brand campaign structure is no longer sufficient alone. A brand campaign with branded keywords and a PMax campaign with keyword-based brand exclusions is no longer the complete control set. Advertisers must now also configure the audience-behaviour exclusion layer to achieve full separation.^[11]

AI Max branded search controls

Google has also been testing AI Max for Search campaigns, which includes explicit interface controls for managing branded traffic separately from non-brand automated Search traffic.^[8] Where AI Max is available in an account, review the branded traffic section of its settings immediately and apply the same logic as PMax brand exclusions. Do not assume that existing negative keyword lists or brand campaign structures automatically govern AI Max placements.^[8]

What has not changed

The core strategic principles — separate campaigns, separate budgets, separate targets, brand exclusions in automated campaigns, weekly search term review — remain unchanged and are reinforced by these new controls. The new controls make the separation more precise; they do not replace the structural discipline required to implement it.^[2][13]

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