> ## Documentation Index > Fetch the complete documentation index at: https://docs.vortexiq.ai/llms.txt > Use this file to discover all available pages before exploring further. # Branded Search Cannibalisation (GSC vs Google Ads), Google Search Console > Money paid to Google for branded clicks you would have won free organically, where you already rank in the top three. How to read it, why it matters, and how to act on it. **Card class:** [Hero](/nerve-centre/overview#card-classes-explained) • **Category:** [Cross-Channel: Revenue at Risk](/nerve-centre/connectors#connectors-by-type) > Money paid to Google for clicks the merchant would get free organically. The top wasted-spend audit finding for brands ranked #1 to #3 for their own name. ## At a glance > **Branded Search Cannibalisation** cross-references your Search Console organic data against your Google Ads spend on the same branded queries. When you already rank in the top three organically for your own brand and product names, the paid clicks you buy on those identical queries are largely clicks you would have won for free. The card surfaces the monthly spend at risk: branded queries where your organic position is 3 or better AND you are paying Google for the same term. This is consistently the single largest wasted-spend finding in a paid-media audit for established brands, because the incremental value of a paid click sitting above an organic result you already own is close to zero. | | | | ----------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **What it measures** | For each branded query, your organic average position (from Search Console) joined to your paid spend and clicks on that query (from Google Ads). It flags queries where organic position is 3 or better and paid spend is non-trivial, then totals the at-risk monthly spend. | | **Data sources** | Google Search Console Search Analytics API (`query` dimension, `position` and `clicks` metrics) joined to the Google Ads connector's branded-campaign spend and search-term report. Two connectors, one join key: the query string. | | **Time window** | `30D vsP`. Trailing 30 days of spend and organic position, compared against the prior 30 days to show whether the cannibalised spend is rising or falling. | | **Alert trigger** | Fires when paid spend on branded queries with organic position 3 or better exceeds £500 per month (`>£500/mo paid spend on branded queries with organic position <=3`). | | **Why it matters** | A paid click above an organic result you already rank #1 to #3 for is rarely incremental: the user would very likely have clicked your free organic listing immediately below. That spend is, in most cases, defending a position you already hold for free. | | **The legitimate exceptions** | Branded paid is not always waste. It can be defensible when competitors bid on your brand, when you need to control the message (sale, recall, new launch) or own more SERP real estate. The card surfaces the spend so you can make that call deliberately, not pay it by default. | | **Currency** | GBP by default for the threshold; the underlying spend is read in the Google Ads account currency. | | **Roles** | owner, marketing | ## Calculation The card builds a per-query join across the two connectors over the 30-day window: 1. **Identify branded queries.** Queries containing the brand token(s) and known product or sub-brand names. Branded classification mirrors the logic behind [Branded vs Non-Branded](/nerve-centre/kpi-cards/google-search-console/branded-vs-non-branded). 2. **Pull organic position per branded query** from Search Console: the average `position` and `clicks` for that query over the window. 3. **Pull paid spend and clicks per branded query** from the Google Ads search-term and keyword reports for the same window. 4. **Flag the overlap.** A query is "cannibalised" when organic average position is 3 or better AND paid spend on it is non-trivial. 5. **Total the at-risk spend** across all flagged queries: ``` cannibalised_spend = Σ paid_spend(query) for queries where organic_position ≤ 3 and paid_spend(query) > 0 ``` The alert fires when `cannibalised_spend` for the trailing 30 days exceeds £500. The `vsP` comparison shows whether you are spending more or less on cannibalised branded terms than the prior month. This is an estimate of spend at risk, not a guaranteed saving: the true incremental value depends on how many of those paid clicks would genuinely have converted to organic clicks, which the next section discusses. ## Worked example A UK skincare brand, "Aurelia Botanica", Search Console and Google Ads both connected. The card fires on 22 Jun 26 with £1,840 of cannibalised branded spend in the trailing 30 days. | Branded query | Organic avg position | Organic clicks (30D) | Paid spend (30D) | Paid clicks (30D) | Flagged | | --------------------------------- | -------------------- | -------------------- | ---------------- | ----------------- | ------------------ | | aurelia botanica | 1.1 | 14,200 | £980 | 3,100 | **Yes** | | aurelia botanica serum | 1.4 | 4,300 | £420 | 1,150 | **Yes** | | aurelia botanica discount code | 2.2 | 1,900 | £290 | 760 | **Yes** | | aurelia botanica vs \[competitor] | 6.8 | 210 | £150 | 240 | No (position > 3) | | aurelia botanica stockists | 3.0 | 540 | £0 | 0 | No (no paid spend) | Reading it: 1. **The top three rows are the finding.** For "aurelia botanica" the brand ranks 1.1 organically (effectively the first result) yet pays £980 a month for the same term. The paid ad sits above an organic listing the user would reach within one line of scrolling. The £980 is defending a position the brand already owns. 2. **The fourth row is correctly NOT flagged.** "aurelia botanica vs \[competitor]" ranks 6.8 organically, below the fold, so the paid click there IS likely incremental: without the ad the brand would capture little of that query. The card deliberately excludes it. This is the discipline that stops the card from over-claiming savings. 3. **The recommended action is a test, not a switch-off.** The orthodox move is a controlled brand-bidding pause (or a tightly capped budget) on the top two flagged exact-match terms for two to four weeks, while watching total branded clicks (paid + organic) in [Total Clicks](/nerve-centre/kpi-cards/google-search-console/total-clicks) and branded revenue. If total branded clicks hold steady when paid is paused, the paid spend was cannibalising free organic and can be cut. If total branded clicks fall (competitors filled the gap, or some users only click ads), reinstate paid for those terms. 4. **The likely outcome here.** With organic at position 1.1 and no competitor bidding on the core brand term, pausing paid on the top two rows is expected to recover most of the lost clicks organically, saving roughly £1,400 a month at little traffic cost. The "discount code" term is more nuanced: those searchers have high intent and competitors often bid on "\[brand] discount code", so that £290 may be worth defending. **Rule of thumb.** Position 1 to 3 organic + paid spend on the exact same branded term = test pausing it. The higher your organic position and the lower the competitor bidding on your brand, the safer the saving. ## Sibling cards merchants should reference together | Card | Why pair it with Branded Search Cannibalisation | | ------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------- | | [Branded vs Non-Branded](/nerve-centre/kpi-cards/google-search-console/branded-vs-non-branded) | The split this card depends on. Confirms how much of your organic demand is branded in the first place. | | [Total Clicks](/nerve-centre/kpi-cards/google-search-console/total-clicks) | The control metric for a brand-bidding pause test. Total branded clicks should hold when paid is paused if the spend was cannibalising. | | [Average Position](/nerve-centre/kpi-cards/google-search-console/average-position) | The eligibility gate. Only queries at organic position 3 or better are flagged. | | [Top Queries by Clicks](/nerve-centre/kpi-cards/google-search-console/top-queries-by-clicks) | Confirms your branded terms are indeed your top organic click earners. | | [Queries with Highest CTR](/nerve-centre/kpi-cards/google-search-console/queries-with-highest-ctr) | Branded terms usually dominate here, evidence users find and click you without paid help. | | [Organic-to-Revenue Divergence](/nerve-centre/kpi-cards/google-search-console/organic-to-revenue-divergence) | The revenue translation. Confirms whether organic is pulling its weight before you cut paid support. | ## Reconciling against the source This card is a join of two systems, so reconcile each side independently before trusting the combined figure. **The organic side, in Search Console:** > **Performance > Search results**, filter **Query > Queries containing** your brand name, and read **Average position** and **Clicks** per branded query for the same 30-day window. This is the organic half of the join. **The paid side, in Google Ads:** > **Campaigns**, your branded campaign(s), or the **Search terms** report filtered to branded terms, reading **Cost** and **Clicks** per term for the same window. This is the paid half. **Why our number may legitimately differ:** | Reason | Direction of divergence | | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------ | | **Search Console data lag.** Organic position and clicks lag 2 to 3 days; Google Ads cost is near real time. The two halves are not pulled at exactly the same freshness. | Organic side reads slightly stale at the window edge | | **Anonymised branded queries.** Rare branded long-tail queries are dropped from the organic side by Search Console's privacy filter, so a few cannibalised terms may be invisible to the join. | Card may under-count slightly | | **Branded classification.** Our brand-token matching may include or exclude a borderline term (a partial brand match, a sub-brand) differently from how you would. | Variable; review the flagged list | | **Position is an average.** Search Console position is averaged across impressions, so a query at "position 2.8" may have ranked 1 most of the time and 6 occasionally. The 3-or-better gate uses the average. | Edge queries near the threshold may flip | | **Match-type spill.** Broad-match paid keywords can attract spend on branded search terms not in your keyword list; the search-term report captures these but a keyword-only view would miss them. | Use the search-term report for the fullest paid figure | **Cross-connector reconciliation, the core of this card:** | Card | Expected relationship | What a divergence means | | -------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ | ----------------------------------------------------------------------------------------------------------------- | | [`google_ads` branded campaign spend](/nerve-centre/kpi-cards/google-ads/top-performing-campaigns) | The paid half of this card should tie back to the spend reported on your branded campaign. | If they disagree, check that the Ads connector and this card use the same branded-campaign definition and window. | | [Total Clicks](/nerve-centre/kpi-cards/google-search-console/total-clicks) | When you pause branded paid, organic clicks should rise to absorb most of the lost paid clicks if the spend was cannibalising. | If total branded clicks fall after a paid pause, the spend was partly incremental; reinstate it. | | [Branded vs Non-Branded](/nerve-centre/kpi-cards/google-search-console/branded-vs-non-branded) | A high branded organic share strengthens the cannibalisation case. | A low branded organic share means the brand-bidding may be building, not defending, recognition. | **This card estimates spend at risk, not guaranteed savings.** The true saving from cutting branded paid depends on the incrementality of those paid clicks, which only a controlled pause test can prove. Treat the figure as the size of the question to investigate, not the answer. ## Known limitations / merchant FAQs **Should I just switch off all branded paid spend the card flags?** No. Switch off by experiment, not by reflex. Branded paid is defensible when competitors bid on your brand, when you need message control (a sale, a recall, a new launch), or when your organic result is buried under shopping units and sitelinks. Run a two-to-four-week paused test on the top flagged exact-match terms and watch total branded clicks and branded revenue. Cut what the test proves is cannibalising; keep what the test proves is incremental. **Why does the card only flag organic position 3 or better?** Because that is where the paid click is least likely to be incremental. If you already rank in the top three, your free organic listing is right there for the user, so the paid click above it usually just moves a free click to a paid one. Below position 3 (and especially below the fold) the paid placement genuinely adds visibility you would not otherwise have, so those terms are correctly left out. **Competitors bid on my brand name. Doesn't that justify the spend?** It can, and this is the most important exception. If a competitor's ad would otherwise sit above your organic result, your branded ad defends the top slot and the click. Check the **Auction insights** report in Google Ads for the flagged terms: meaningful competitor impression share on your brand is the strongest reason to keep paying. The card flags the spend; your competitive context decides the verdict. **My organic position shows 2.8, so the term is flagged, but I rank #1 most days. Is the card wrong?** The card uses Search Console's average position, which is impression-weighted across the period. A 2.8 average can hide a query that ranked #1 most of the time and dipped occasionally. Read the flag as "worth checking", then look at the position distribution before acting. Terms hovering right at the 3.0 boundary deserve a closer look. **Some of my branded queries are missing from the analysis. Why?** Search Console anonymises rare queries to protect user privacy, so very low-volume branded long-tail terms are dropped from the organic side and cannot be joined. The card therefore slightly under-counts. It will always catch your high-volume branded terms, which is where almost all the cannibalised spend sits. **Does the card account for the fact that some users only ever click ads?** Not directly, and this is why a pause test matters. A minority of users habitually click the top paid result and would not scroll to your organic listing. The only way to size that minority for your audience is to pause branded paid and measure how much of the paid click volume organic actually recovers. The card gives you the spend to test; the test gives you the incrementality. **Is £500 a month the right threshold for my business?** It is the default trigger, not a universal truth. A large brand may waste far more than £500 before it is worth a project; a small one may want to act below it. The threshold is configurable per profile in the Sensitivity tab; set it to the point where the potential saving justifies the test for your account size. *** ### Tracked live in Vortex IQ Nerve Centre *Branded Search Cannibalisation (GSC vs Google Ads)* is one of hundreds of KPI pulses Vortex IQ tracks across Google Search Console and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English. [Start for free](https://app.vortexiq.ai/login) or [book a demo](https://www.vortexiq.ai/contact-us) to see this metric running on your own data.