> ## 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 Paid Clicks Cannibalising Organic, AdRoll > Branded Paid Clicks Cannibalising Organic for AdRoll stores. Tracked live in Vortex IQ Nerve Centre. How to read it, why it matters, and how to act on it. **Card class:** [Cross-Channel](/nerve-centre/overview#card-classes-explained) • **Category:** [Cross-Channel](/nerve-centre/connectors#connectors-by-type) ## At a glance > A cross-channel gauge that estimates how much of your AdRoll retargeting spend is reaching shoppers who already know your brand and would very likely have returned on their own through direct or organic channels. AdRoll is retargeting-first: most spend chases site visitors and cart abandoners drawn from the AdRoll Pixel audience pool, and a meaningful slice of that pool is loyal, brand-aware buyers who were coming back anyway. Paying display, native, social or connected-TV impressions to win them back is margin you could reclaim. This card joins AdRoll click and conversion signal against your commerce-platform and analytics signal for repeat and direct-intent customers, and expresses the overlap as a percentage. It is not an argument to switch retargeting off, it is a tool to right-size the retargeting cycle so you are paying for incremental return, not re-buying customers you already had. | | | | ------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **What it counts** | The estimated share of AdRoll branded retargeting clicks attributable to shoppers who show strong direct or organic return intent, expressed as a percentage gauge. Built by joining AdRoll retargeting click signal with commerce-platform repeat-customer and direct-session signal. | | **Cost basis** | **CPC-dominant.** The reclaim opportunity is the CPC paid on clicks that would likely have arrived free, plus any view-attributed conversions credited to impressions on the loyal cohort. | | **Currency** | The gauge value is a percentage. The implied reclaim is in advertiser-account currency when sized against retargeting spend. | | **Conversion attribution** | AdRoll claims these conversions under its default 30-day click + 1-day view window via the AdRoll Pixel; the cross-channel question is how many were incremental versus inevitable. This card estimates the inevitable share. | | **Attribution window** | 30D click + 1D view default on the AdRoll side (configurable in the dashboard). The cannibalisation estimate is a 30-day rolling read. | | **Bot / invalid traffic** | Excluded from both sides of the join where filtering identifies it. | | **iOS 14.5+ ATT impact on the card** | **Moderate to high.** ATT and cookie deprecation shrink the AdRoll Pixel's identifiable pool, which concentrates retargeting on the most identifiable, most cookie-stable users, exactly the cohort most likely to return anyway, so post-ATT this percentage can drift upward. | | **Catalogue-feed dependency** | Indirect. Dynamic Ads feed health affects which products get retargeted but not the brand-loyalty overlap this card measures. | | **Time window** | `30D` (rolling 30 days). A monthly read smooths daily noise and matches the cadence of budget decisions. | | **Alert trigger** | `>30% of branded clicks would have been free organic`. An illustrative threshold; the gauge flags when the estimated cannibalised share crosses the ceiling, signalling room to reclaim margin. | | **Roles** | owner, marketing | ## Calculation Calculated automatically by joining your AdRoll data with your connected commerce platform and analytics signal. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading. ## Worked example Harbour & Field, a UK homeware DTC retailer with a strong repeat-purchase base, runs AdRoll retargeting (display plus a native line) alongside a healthy direct and organic channel. The gauge estimates how much of branded retargeting click volume overlaps with high direct-intent customers. Account currency GBP. Window is the rolling 30 days to 20 Jun 26. | Cohort | Retargeting clicks | Conversions | Notes | | -------------------------------------------------------- | ------------------ | ----------- | --------------------------------------- | | First-time visitors / cart abandoners, low direct-intent | 11,200 | 470 | Genuinely incremental retargeting value | | Repeat buyers with strong direct/organic habit | 6,800 | 620 | Likely to have returned without the ad | | **Total branded retargeting** | **18,000** | **1,090** | Gauge reads \~38% cannibalised | What the pattern tells you: 1. **Roughly 38% of branded retargeting clicks fall in the high-direct-intent cohort.** These are loyal buyers who type the URL, search the brand name, and reorder on their own rhythm. Paying a CPC to retarget them, or letting a 1-day view conversion claim their return, is largely re-buying a sale that was coming anyway. The gauge crossing the illustrative 30% line is the flag to act. 2. **The loyal cohort converts harder, which is misleading.** Notice the repeat cohort converts at a much higher rate (620 on 6,800 clicks) than the first-timers and abandoners. That high conversion rate is exactly why naive [ROAS](/nerve-centre/kpi-cards/adroll/roas) makes retargeting these users look brilliant, AdRoll takes credit for a sale that was always going to happen. Incrementality, not raw ROAS, is the right lens here. 3. **The reclaim is margin, not a kill switch.** The action is not to switch retargeting off. It is to cap frequency on the loyal cohort, exclude very recent purchasers from the retargeting audience, and shift the saved budget toward the genuinely incremental abandoner and first-time pool where the ad changes the outcome. 4. **Post-ATT this number tends to rise.** As the AdRoll Pixel's identifiable pool shrinks, retargeting concentrates on the most cookie-stable users, who skew loyal. So a rising gauge can partly reflect identity attrition rather than a new strategy fault. Read it alongside [AdRoll Pixel Tracking Broken](/nerve-centre/kpi-cards/adroll/adroll-pixel-tracking-broken). 5. **The honest test is a holdout.** The cleanest way to confirm cannibalisation is an incrementality holdout on the loyal cohort: suppress retargeting for a matched group and compare their return rate to the targeted group. If they return at nearly the same rate, the spend on that cohort was cannibalised. AdRoll supports holdout-style suppression by excluding a segment from the audience. Quick sanity tests: * Gauge high + strong direct/organic channel = real cannibalisation, cap frequency on loyalists. * Gauge high + weak organic channel = suspect, the overlap may be over-estimated, validate with a holdout. * Gauge rising post-ATT = partly identity attrition concentrating on loyal users, not only strategy. * Gauge high + retargeting pool exhausted = double trouble, see [Wasted-Spend Burst (retargeting pool exhaustion)](/nerve-centre/kpi-cards/adroll/wasted-spend-burst-retargeting-pool-exhaustion). * Gauge low = retargeting is mostly reaching genuinely incremental users, leave it alone. * Holdout return rate near targeted rate = confirmed cannibalisation on that cohort. ## Sibling cards merchants should reference together | Card | Why it matters next to Branded Paid Clicks Cannibalising Organic | What the combination tells you | | ------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------- | | [ROAS](/nerve-centre/kpi-cards/adroll/roas) | The headline efficiency reading this card cautions against trusting alone. | A high ROAS with a high cannibalisation gauge means the ROAS is inflated by inevitable conversions. | | [Conversions by Campaign](/nerve-centre/kpi-cards/adroll/conversions-by-campaign) | Shows where the loyal-cohort conversions concentrate. | Helps target frequency caps and recent-purchaser exclusions to the right campaigns. | | [Conversion Rate by Campaign](/nerve-centre/kpi-cards/adroll/conversion-rate-by-campaign) | High conversion rates flag the loyal cohort. | An unusually high conversion rate on a retargeting line is a cannibalisation tell, not always a success. | | [Total Revenue](/nerve-centre/kpi-cards/adroll/total-revenue) | AdRoll-attributed revenue. | The slice attributable to cannibalised clicks is revenue AdRoll claims but did not create. | | [Total Spend](/nerve-centre/kpi-cards/adroll/total-spend) | Sizes the reclaim opportunity. | The cannibalised percentage applied to branded retargeting spend estimates the recoverable margin. | | [Retargeting ROAS Dropped Below Threshold](/nerve-centre/kpi-cards/adroll/retargeting-roas-dropped-below-threshold) | The efficiency-decay context. | A falling retargeting ROAS alongside a rising gauge means you are paying more to re-buy the same loyal returns. | | [AdRoll Pixel Tracking Broken](/nerve-centre/kpi-cards/adroll/adroll-pixel-tracking-broken) | The identity-attrition context. | A rising gauge alongside pixel decay means retargeting is concentrating on the few stable loyal cookies. | ## Reconciling against AdRoll **Where to look in AdRoll's own dashboard:** > Sign in at app.adroll.com, then open Reporting and the Campaign or Audience performance views to read branded retargeting clicks and conversions, and check the attribution window selector (default 30-day click / 1-day view) under the reporting settings. Sit that alongside your analytics direct and organic channel reports (for example Google Analytics, Acquisition, Traffic acquisition) and your commerce platform's repeat-customer view. AdRoll cannot show this card on its own. AdRoll sees the clicks and the conversions its Pixel served; it has no view of how those same shoppers behave in your direct and organic channels, which is the other half of the cannibalisation question. That cross-channel join, AdRoll retargeting against commerce repeat-customer and analytics direct-intent signal, is what Vortex IQ assembles. To sanity-check the gauge manually, compare AdRoll's branded retargeting conversion volume in the dashboard against your analytics direct and branded-organic conversion volume for the same period; a large overlap of the same customers is the cannibalisation this card estimates. **Why our number is an estimate, not an exact figure:** | Reason | Direction | Why | | ------------------------------ | ----------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **Incrementality is inferred** | Either direction | True cannibalisation can only be proven with a holdout; this gauge is a modelled estimate from observable direct and organic return signal, so treat it as directional. | | **View-through attribution** | Pushes ours up | AdRoll's 1-day view window credits impressions on loyal users who would have returned regardless, inflating the apparent overlap. | | **Attribution overlap** | Ours conservative | Where AdRoll and organic both claim the same conversion, the cross-channel join apportions rather than double-counts, which can read lower than a naive overlap. | | **ATT identity attrition** | Pushes ours up | A shrinking identifiable Pixel pool concentrates retargeting on loyal users, raising the estimate for reasons of measurement as much as behaviour. | | **Brand strength** | Varies by store | Stores with strong direct and organic demand will legitimately show higher cannibalisation than low-awareness brands. | **Cross-connector reconciliation:** This card is inherently cross-channel: | Card | Expected relationship | What causes legitimate divergence | | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------- | | [`google_analytics.ga_direct_sessions`](/nerve-centre/kpi-cards/google-analytics/direct-sessions) / [`google_analytics.ga_organic_sessions`](/nerve-centre/kpi-cards/google-analytics/organic-sessions) | Strong direct and organic return signal is the basis for the cannibalisation estimate; the more of it, the higher the likely overlap with retargeting. | Analytics attribution and AdRoll attribution use different models, so the overlap is estimated rather than summed. | | [`shopify.repeat_customer_rate`](/nerve-centre/kpi-cards/shopify/repeat-customer-rate) / [`bigcommerce.repeat_customer_rate`](/nerve-centre/kpi-cards/bigcommerce/repeat-customer-rate) | A high repeat-customer rate raises the prior that retargeting is reaching buyers who would return anyway. | A high repeat rate driven by subscription or replenishment behaviour cannibalises differently from one driven by discretionary reorders. | ## Known limitations / merchant FAQs **Does a high reading mean I should stop retargeting?** No. It means part of your retargeting budget is being spent on customers who would have returned anyway, which is a right-sizing signal, not a kill signal. The action is to cap frequency on the loyal cohort, exclude very recent purchasers from the AdRoll audience, and redirect that budget to genuinely incremental cart abandoners and first-time shoppers. Retargeting still earns its keep on the incremental pool. **Is this an exact measurement of cannibalisation?** No, it is a modelled estimate. The only way to prove cannibalisation precisely is an incrementality holdout: suppress retargeting for a matched group and compare their return rate to the targeted group. This gauge is the always-on directional read that tells you when a holdout test is worth running. Treat it as a flag, then validate the suspect cohort with a holdout, which AdRoll supports by excluding a segment from the audience. **Why does the loyal cohort's high ROAS mislead me?** Because ROAS credits AdRoll with conversions that were always going to happen. Loyal buyers convert at high rates whether or not they see the ad, so retargeting them produces a glittering ROAS that overstates incremental value. The high conversion rate on a retargeting line is often a cannibalisation tell, not proof the spend is working. AdRoll's 1-day view attribution makes this worse, since a passing impression can claim a return that direct or organic earned. **My cannibalisation gauge rose after iOS ATT, did my strategy get worse?** Not necessarily. ATT and cookie deprecation shrink the AdRoll Pixel's identifiable pool, so retargeting increasingly concentrates on the most cookie-stable users, who tend to be your loyal, brand-aware buyers, the exact cohort most likely to return on their own. So part of a post-ATT rise reflects identity attrition concentrating the audience, not a deliberate strategy change. Read it alongside [AdRoll Pixel Tracking Broken](/nerve-centre/kpi-cards/adroll/adroll-pixel-tracking-broken). **How do I act on this without throwing away genuine retargeting value?** Segment. Keep retargeting full-strength on the incremental pool (cart abandoners, first-time visitors, lapsed customers, low direct-intent traffic) and apply frequency caps plus recent-purchaser exclusions to the loyal cohort. That preserves the part of retargeting that changes outcomes and trims the part that re-buys inevitable returns. Then validate the trimmed cohort with a holdout to confirm you did not cut incremental value. **Does my retargeting pool size change how I should read this?** Yes. When the retargeting pool shrinks (frequency caps hit, audience exhausts, cookies expire), AdRoll keeps serving the names it can still reach, which skew loyal and identifiable. So a rising gauge can coincide with pool exhaustion rather than a deliberate over-investment in loyalists. Read it alongside [Wasted-Spend Burst (retargeting pool exhaustion)](/nerve-centre/kpi-cards/adroll/wasted-spend-burst-retargeting-pool-exhaustion) to tell the two apart. **Does brand strength change how I should read this?** Yes. A brand with strong direct and organic demand will legitimately show higher cannibalisation than a low-awareness brand, because more of its returners arrive free. A high reading for a strong brand is expected and actionable; the same reading for a low-awareness brand is more surprising and worth validating, because the overlap may be over-estimated. *** ### Tracked live in Vortex IQ Nerve Centre *Branded Paid Clicks Cannibalising Organic* is one of hundreds of KPI pulses Vortex IQ tracks across AdRoll 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.