Should you bid on your own brand name in Google Ads?

Yes, in most cases — but the justification has to be either defensive (competitors are bidding on your brand and you need to keep them below your listing) or incremental (a measurable share of your brand clicks would not have been captured organically). The Dellaripa analysis of Google's own research shows that paid brand search delivers only 5–15% incremental lift on top of organic brand conversions in most accounts, meaning 85–95% of brand-campaign conversions would have happened regardless. This means the reported brand CPA (often £4–£8) translates to a true incremental CPA closer to £30–£80. The Brand Leakage Audit calculates your incrementality cost — the share of brand-campaign spend going to demand organic would have captured anyway.

Is it a waste to buy AdWords around your company name when you're already #1 organic?

It depends on two conditions — (1) are competitors bidding on your brand, and (2) is your organic listing competing with a crowded SERP (local pack, shopping ads, knowledge panel). If both answers are no, pure brand bidding is close to pure cannibalisation of your own organic traffic and largely wasted. If either is yes, defensive brand bidding has genuine incremental value because without it, a meaningful share of branded clicks goes to competitors or SERP features. The Brand Leakage Audit runs Auction Insights analysis to show which competitors are bidding on your brand and measures your specific cannibalisation rate via the click-share-on-branded-queries metric.

How to test if brand search is cannibalizing organic traffic

Run a pause-test: disable the brand campaign for 7 days in a randomly selected geographic region and compare total branded traffic (paid + organic combined) in that region against a control region where brand ads remained on. The delta shows what the brand campaign was genuinely incremental for. Running a full geo test is blocked when PMax is active because you cannot exclude brand from PMax per-geo — pause PMax during the test or widen your confidence intervals. A 5–15% lift is Google's own benchmark; below that, the brand campaign is largely cannibalising organic. The Brand Leakage Audit includes the test design template and the expected lift range for your account size.

If competitors aren't bidding on my brand, should I stop brand ads?

You can significantly reduce brand spend — specifically, drop to a Target Impression Share bid strategy set to 60–70% instead of 100%, which lets you appear on the highest-intent branded queries while spending 40–60% less. Full pause is justified only if you've confirmed via Auction Insights that no competitors bid on your brand AND your organic listing dominates the SERP (your result plus sitelinks, no Shopping ads, no local pack interrupting). Re-check quarterly — competitor landscapes shift. The Brand Leakage Audit checks Auction Insights, SERP composition, and incrementality estimates to produce a specific recommendation: maintain, reduce, or pause.

How much brand dependency is too much in a Google Ads account?

Brand dependency above 50% of total Google Ads conversions is a warning sign; above 70% the account is not a paid-acquisition engine, it is a paid-retention engine. Healthy accounts sit at 20–40% brand dependency — enough to capture high-intent branded traffic but with a meaningful non-brand prospecting layer. High brand dependency masks weak non-brand performance and makes blended ROAS a vanity metric because it inflates with demand you already owned. The Brand Leakage Audit calculates your brand dependency ratio and issues a verdict: healthy (under 30%), elevated (30–50%), or dependent (over 50%).

Why does my blended CPA look great but my non-brand CPA is terrible?

Because blended CPA averages cheap brand conversions (typically £2–£10 CPA) with expensive non-brand conversions (often £50–£200 CPA), producing a middle number that hides how unprofitable non-brand prospecting actually is. If 60% of your conversions are brand at £5 CPA and 40% are non-brand at £150 CPA, your blended CPA is £63 — which looks fine but contains a non-brand segment that may be fundamentally unprofitable. This is how agencies obscure weak prospecting performance. The Brand Leakage Audit always reports CPA and ROAS split into Brand and Non-Brand columns so the real non-brand economics are visible.

How to structure Google Ads to see true new customer acquisition cost

Isolate three campaign layers: (1) Brand Search — your brand keywords as Exact/Phrase match; (2) Non-Brand Search — everything else with your brand added as campaign-level negative; (3) PMax — run with brand exclusions active AND the New Customer Acquisition goal set to 'Bid higher for new customers only' or 'Only bid for new customers'. Track each layer's CPA separately. Without this separation you cannot isolate true acquisition cost — brand and existing-customer conversions inflate the numbers. The Brand Leakage Audit checks whether these three layers exist and are properly configured in your account.

How do competitors bidding on my brand name affect my Google Ads?

Two effects: competitors appearing above your organic listing capture a share of users who intended to visit your site (typically 5–15% of branded clicks go to competitor ads when they bid), and their bidding raises the auction floor for your own brand campaign, increasing your brand CPC by 2–5x compared to a competitor-free auction. Without a brand campaign active, competitors win disproportionately because nobody is defending Position 1. With a brand campaign, you pay more than you otherwise would to maintain position. The Brand Leakage Audit's Auction Insights section shows which specific competitors are bidding on your brand terms, their overlap rate, and how often they appear above you.

Should I bid on my brand if another company has the same name?

Yes, even more defensively than a unique-brand account — when users search 'your brand name', they might be looking for you or the other company, and whoever doesn't bid loses the ambiguous-intent users to whoever does. Add modifying keywords to your brand campaign (your brand + 'login', 'UK', product name, industry) so your ads show for disambiguated brand queries. Avoid using the other company's brand name as a keyword (trademark risk). The Brand Leakage Audit identifies shared-name competitor bidding patterns and recommends the disambiguation keyword set to add.

Branded vs non-branded keywords — which one should you bid on?

Both, but with different strategic purposes and budget allocation — brand keywords for capture and defence (typically 15–25% of total budget), non-brand for growth and acquisition (the remaining 75–85%). Accounts over-indexed on brand (above 50% of budget) are usually running expensive brand campaigns on keywords that convert at high rates from organic anyway, while starving the non-brand prospecting that would actually grow the customer base. The right mix depends on your funnel maturity: established brands can reduce brand spend to 10–15%, new brands may need 30–40% to defend what little brand awareness exists. The Brand Leakage Audit recommends your specific brand/non-brand split based on your account size, industry, and dependency ratio.

How to handle paid search when the brand name is the top search term

Isolate it in a tightly-scoped Brand campaign with Exact and Phrase match only, set Target Impression Share at 80–90% (not 100% — the last 10% is typically low-value repeat queries), use ad copy that differentiates from competitors and reinforces trust signals, and add every non-brand term as a campaign-level negative. The goal is to own position 1 for branded queries with minimum spend. Keep it entirely separate from non-brand campaigns so the bidding signal stays clean. The Brand Leakage Audit verifies this structure is in place and flags campaigns where brand and non-brand keywords are mixing.

What percentage of budget should go to brand vs non-brand campaigns?

15–25% brand, 75–85% non-brand is the healthy range for most accounts — brand defends existing demand, non-brand drives growth. Mature brands with dominant organic presence can drop to 10–15% brand; new or contested brands may need 30–40% for defensive positioning. Above 50% brand share signals that your account is not funding acquisition adequately. The Brand Leakage Audit produces your current split, benchmarks it against industry norms, and recommends the rebalance direction with estimated non-brand revenue upside from reallocating brand budget.

ClickCatalyst

Brand Leakage · Methodology

Back to Brand Leakage Audit

Authority Layer · 8 metrics · 3 data sources

Inside the Brand Leakage Engine

Every metric in your Brand Leakage audit traces back to a specific query and classification rule. This page documents the brand detection heuristic, cannibalization calculation, incrementality weighting, and every threshold used to generate your verdicts.

Jump to metric

Brand Detection Heuristic01 Brand Dependency Status02 Brand vs Non-Brand CPA Comparison03 Cannibalization Overlap04 Incrementality Cost (70% Weighting)05 Brand Impression Share Trend06 Brand vs Non-Brand ROAS Trend07 Budget Reallocation Plan08

Data Sources

read-only OAuth · no campaign changes ever

All data is read via Google Ads API and GA4. Derived intelligence tables are pre-computed in our pipeline before your audit runs.

Google Ads API — Campaign Performance

google_ads_campaign_performance

Campaign names (for brand detection), spend, conversions, revenue, impression share metrics per day

Google Ads API — Search Terms

google_ads_search_terms_historical

Search term text, cost, conversions for cannibalization overlap detection and incrementality calculation

Google Ads API — Keywords Performance

google_ads_keywords_performance

Keyword text, match type, Quality Score for brand keyword QS analysis

Brand Detection Heuristic

How we classify campaigns as brand vs non-brand

We classify campaigns by scanning campaign_name for known brand naming conventions. This covers the most common patterns used by agencies and in-house teams. The audit also reports a brand_detection_config showing how many campaigns matched — so you can verify the classification worked for your naming convention.

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Why this matters: Every downstream metric — CPA comparison, ROAS split, cannibalization, incrementality — depends on this classification being accurate. If your campaigns use non-standard naming, the split may under-count brand spend, making the account look healthier than it is.

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In plain English: We look at each campaign's name for words like 'brand', 'branded', 'bb', 'tm', or 'trademark'. If the name contains any of these, it's classified as a brand campaign. Everything else is non-brand. Simple, but it works for 90%+ of accounts.

MatchedCampaign names contain brand keywords — classification active

Zero matchNo campaigns matched — non-standard naming detected

Brand Dependency Status

How reliant is the account on branded search traffic?

Total brand campaign spend divided by total account spend, expressed as a percentage. The status verdict has three tiers. Above 50% means more than half your budget captures people already searching your brand name — users who would likely convert organically.

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Why this matters: Brand dependency is invisible in blended metrics. An account with 4x ROAS and 60% brand spend might only have 1.2x non-brand ROAS — meaning growth through paid search is actually unprofitable. The dependency verdict forces this conversation.

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In plain English: We add up all spending on brand campaigns, divide by total spending, and tell you the percentage. Above 50% = you're overly dependent on brand traffic. Above 30% = moderate risk. Below 30% = healthy balance.

≤ 30%Healthy balance — diversified acquisition

30–50%High dependency — monitor closely

> 50%Critical — most budget captures existing demand

Brand vs Non-Brand CPA Comparison

The CPA illusion exposed at campaign level

CPA calculated separately for brand and non-brand campaigns by joining campaign_performance with the brand classification CTE. Each campaign shows its segment label, spend, CPA, and ROAS. The CPA gap between segments quantifies how much brand traffic inflates account-level metrics.

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Why this matters: Brand traffic has inherently lower CPA because the user already intends to buy. Blending brand and non-brand CPA produces a meaningless average. Reporting them separately reveals the true cost of acquiring NEW customers.

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In plain English: We calculate cost-per-conversion for brand campaigns and non-brand campaigns separately. Brand CPA is almost always much lower because those users already know you. The gap between the two numbers is the size of the CPA illusion in your blended reporting.

Gap < 2xModerate — non-brand CPA within range

Gap 2–5xSignificant — blended CPA misleading

Gap > 5xSevere illusion — non-brand is dramatically more expensive

Cannibalization Overlap

Brand terms appearing in non-brand campaigns — the double payment

A three-CTE query: (1) identify distinct search terms from brand campaigns, (2) sum spend on those same terms appearing in non-brand campaigns, (3) express the non-brand cost as a percentage of total account spend. Every term in the output has been confirmed to appear in BOTH campaign types — not guessed from keyword similarity.

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Why this matters: Every term in this table means you're paying for the same user twice — once in the brand campaign and once in the non-brand campaign. The non-brand payment is pure waste because the brand campaign (or organic listing) would have captured it.

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In plain English: We find search terms that appear in both your brand AND non-brand campaigns. For each overlapping term, we show how much the non-brand campaign spent on it. That spend is waste — you're paying twice for the same search.

No overlapClean separation — no double-payment

Overlap existsEach term = paying for same user twice

Incrementality Cost (70% Weighting)

The true cost of paying for demand you already own

Total non-brand spend on overlapping brand terms, multiplied by 0.7. The 70% weight is a deliberate conservatism: not all overlap is pure waste — some brand terms in non-brand campaigns may serve a competitive defense purpose (preventing competitors from winning the auction). The weighting acknowledges this nuance while still quantifying the cost.

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Why this matters: This is the hero stat of the audit. It tells a founder or CMO: 'You're paying $X per month for demand that already exists organically.' The 70% weight keeps the number credible rather than alarmist, which is critical for stakeholder trust.

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In plain English: We take the total non-brand spend on overlapping brand terms and multiply by 70% (because some of that overlap might be defensively useful). The result is how much you're paying for demand you already own — money that could fund new customer acquisition instead.

≤ 15%Low incrementality risk

15–30%Significant — consider negative keywords

> 30%Critical — paying heavily for existing demand

Brand Impression Share Trend

Are competitors stealing your brand traffic?

Daily brand impression share, lost-to-rank, and lost-to-budget from campaign_performance filtered to brand campaigns with non-null IS data. A declining IS line with rising lost-to-rank proves competitors are actively bidding on your brand name and winning auctions.

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Why this matters: Losing brand impression share to rank means competitors are outbidding you on YOUR brand name. This forces your brand CPCs up and diverts your most valuable traffic to competitors. Lost-to-budget means your own campaign ran out of money — the cheapest fix available.

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In plain English: We track three lines over time: what share of brand searches you win, how much you lose because competitors bid more aggressively, and how much you lose because your budget runs out. Declining share + rising competitor pressure = someone is actively attacking your brand.

IS > 90%Strong brand protection — dominating brand queries

IS 70–90%Moderate — some leakage to competitors

IS < 70%Critical — competitors winning your brand auctions

Brand vs Non-Brand ROAS Trend

Is the gap widening or narrowing over time?

Daily ROAS calculated separately for brand and non-brand segments. Converging lines mean non-brand efficiency is improving (positive trend). Diverging lines mean brand dependency is structurally worsening — non-brand ROAS is falling relative to brand.

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Why this matters: Direction matters more than the absolute ROAS numbers. A 6x brand ROAS and 2x non-brand ROAS might be fine if the lines are converging. But 4x brand and 1.5x non-brand with diverging lines is a crisis — the growth engine is weakening.

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In plain English: We plot brand ROAS and non-brand ROAS on the same chart over time. If the lines move together, non-brand is catching up. If they move apart, the dependency problem is getting worse — your growth engine is becoming less efficient while brand coasts.

ConvergingNon-brand catching up — positive trend

DivergingGap widening — dependency worsening

Budget Reallocation Plan

Which campaigns to cut brand spend from and where to redirect

Each campaign's ROAS compared to account average. Brand campaigns with above-average ROAS are candidates for REDUCE (they'll maintain performance at lower spend). Non-brand campaigns with above-average ROAS are candidates for SCALE. Campaigns at or below average get HOLD.

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Why this matters: Most managers know they should rebalance, but don't know which specific campaigns to touch. This table removes the guesswork — each campaign has a REDUCE/SCALE/HOLD verdict backed by its ROAS relative to the account benchmark.

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In plain English: We compare every campaign's ROAS against the account average. Brand campaigns that outperform should be trimmed (they'll still perform with less budget). Non-brand campaigns that outperform should be scaled (they're proven winners). Everything else holds steady.

REDUCEBrand campaign — trim budget, redirect savings

SCALENon-brand winner — push budget here

HOLDNeutral — no immediate reallocation needed

Proprietary notice: The methodology, scoring models, waste classification logic, and recovery projections are proprietary to ClickCatalyst Digital and provided for informational purposes only. Results are subject to standard market volatility. Recovery projections are estimates, not guarantees. Contact us within 14 days if any metric appears inaccurate.

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