At a glance
The share of branded paid clicks on TikTok that would most likely have arrived free through organic search or direct channels anyway. When a TikTok campaign targets people already looking for your brand, you are often paying to re-acquire demand that Google organic, branded search, or your own direct traffic was already going to capture for free. That is pure margin reclaim: cap or exclude the warm brand-affinity audience and keep the revenue without the ad cost. Caveat: this is an estimate of incrementality, not a measured experiment. The only definitive proof is a holdout or geo lift test; this card is the directional flag that tells you when one is worth running.
| What it estimates | The percentage of branded paid clicks on TikTok (clicks from audiences defined by your brand affinity, brand engagers, follower base, or existing customers) that would plausibly have converted via organic search or direct channels without the ad. |
| How it is derived | A cross-channel comparison of branded paid click and conversion volume on TikTok against the organic search and direct baseline for the same brand demand over the window. It infers the overlap; it does not measure it directly. |
| Why it matters | Branded and returning-audience campaigns post the highest reported ROAS on TikTok because the audience was already warm. That ROAS overstates incremental value. The reclaimable margin is the spend on clicks that would have been free through Google organic or direct. |
| The right proof | A conversion-lift or holdout test is the only way to measure true incrementality. This card flags candidates for that test rather than replacing it. |
| iOS 14.5+ ATT impact | Branded audiences skew toward existing customers and followers, who are more likely to be trackable, so their reported ROAS is even more inflated by warm-audience effects than cold prospecting. |
| Chart type | Gauge. Shows the estimated cannibalisation share against the alert threshold. |
| Alert trigger | Fires when more than roughly 30% of branded paid clicks are estimated to have been free organic, the level at which a lift test or a cap is usually worth it. Tunable per profile in the Sensitivity tab. |
| Currency | Not currency-denominated; the unit is a percentage. The reclaimable spend is shown alongside in account currency. |
| Time window | 30D (30-day rolling). |
| Roles | owner, marketing |
Calculation
Calculated automatically from your TikTok Ads data joined to your organic search and direct traffic baseline. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.Worked example
A US homeware brand running a TikTok brand-affinity and follower-retargeting campaign alongside healthy Google organic and email. The 30-day window is 13 Feb 26 to 14 Mar 26. All figures are illustrative.| Audience | Paid clicks | Paid conversions | Reported ROAS | Estimated free share |
|---|---|---|---|---|
| Brand engagers (last 90d) | 12,400 | 540 | 7.8x | ~42% |
| Followers / existing customers | 8,100 | 610 | 9.1x | ~55% |
| Cold lookalike 1% | 31,000 | 480 | 3.2x | ~6% |
| Cold interest-based | 26,500 | 360 | 2.6x | ~4% |
- The gauge reads about 38% across branded paid clicks, above the 30% threshold, so it fires. The two warm audiences are doing most of the cannibalising.
- The follower / existing-customer retargeting at 9.1x ROAS is the most misleading line. Those people were the most likely to return on their own through Google branded search, email, or direct, so an estimated 55% of those clicks were probably free. The headline ROAS flatters a campaign that is largely defending revenue you would have kept anyway.
- Cold prospecting is clean. The lookalike and interest audiences sit near 5% estimated free share, because those users had no prior brand intent. That spend is genuinely incremental, which is exactly what TikTok is good at (discovery-time demand creation). Leave it running.
- The reclaim action is targeted, not blunt. Rather than killing all branded spend, cap or exclude the follower and recent-brand-engager clusters, then watch whether Google organic and direct revenue holds. If total revenue is flat after the cut, the spend was indeed cannibalising.
- Prove it before scaling the decision. A two-week holdout (suppress the warm audience for half the eligible users) measures the true lift. The card points you at the test; the test gives you the defensible number.
- High estimated free share + high reported ROAS + warm audience = classic cannibalisation. Test a holdout.
- Low estimated free share + cold audience = incremental discovery spend. Keep it; it is what TikTok does best.
- Estimated free share rising over time = organic search and email maturing; the branded TikTok campaign is increasingly redundant.
Sibling cards merchants should reference together
| Card | Why pair it with Branded Paid Clicks Cannibalising Organic Search | What the combination tells you |
|---|---|---|
| ROAS by Campaign | The warm campaigns post the highest ROAS. | Confirms the cannibalising audiences are the ones flattering your headline efficiency. |
| Spend by Campaign | The reclaimable budget. | How much spend sits behind the warm audiences you could cap. |
| GA4 Organic vs Paid Traffic | The independent baseline for what organic would carry. | Whether organic and direct can absorb the demand if you cut branded TikTok paid. |
| GA4 Revenue by Channel | The cross-channel revenue picture. | Whether total revenue holds when branded TikTok paid is reduced (the cannibalisation proof). |
| Shopify Email-Attributed Revenue Share | Existing customers often return via email regardless of ads. | A high email share on the same customers supports the cannibalisation case. |
| Shopify Repeat Customer Rate | The returning-customer baseline. | High repeat rate means warm audiences would likely return without the ad. |
Reconciling against TikTok Ads Manager
Where to look in TikTok Ads Manager: TikTok Ads Manager does not surface a cannibalisation metric. The honest in-platform proxies are:- TikTok Ads Manager > Experiments / Lift study, which can run a holdout to measure incremental conversions. This is the definitive method and the one this card is steering you toward.
- The audience definitions behind each ad group tell you which campaigns target warm versus cold users; a warm audience is the prerequisite for cannibalisation.
- Reported ROAS by campaign: a high warm-audience ROAS looks like success but is exactly the figure cannibalisation inflates. It is the symptom, not the diagnosis.
- Attribution settings: changing the window does not reveal incrementality; only a lift test does.
| Reason | Direction | Why |
|---|---|---|
| Estimate vs experiment | Inherent uncertainty | This card models the overlap from observed organic search and direct behaviour. A measured lift test can land higher or lower. Treat the card as directional. |
| Audience-definition match | Variable | Whether a TikTok audience counts as branded depends on how it is built. Custom audiences blending warm and cold users blur the estimate. |
| Attribution model | Direction depends | TikTok credits warm-audience clicks generously within its window; the organic search baseline uses a different attribution basis, so the comparison is approximate. |
| Window length | Smooths short-term swings | A 30-day window absorbs weekly volatility but can lag a recent shift in organic strength. |
| Card | Expected relationship | What causes legitimate divergence |
|---|---|---|
google_analytics.organic_vs_paid_traffic | Strong organic search supports a higher cannibalisation estimate | If organic is weak, fewer paid clicks would have been free, so the estimate falls. |
google_analytics.revenue_by_channel | Total revenue should hold when branded TikTok paid is cut, if cannibalising | A revenue drop after the cut means the spend was incremental after all. |
shopify.total_revenue | The truth check during a holdout | Flat store revenue with branded TikTok paid suppressed is the cleanest proof of cannibalisation. |