How to find ad sets bidding against each other
Where your own ad sets compete for the same people on Meta and TikTok, measured with the platforms' own overlap data, and what to merge or exclude.
IntentStop paying auction premiums against yourself, with the overlapping pairs named and sized.
- 4
- Steps
- 7
- Tools
- 3
- Rules
- 3
- Failure modes
When to use it
Use it when
- CPMs creeping while reach stalls.
- After audience proliferation: many lookalikes and interest stacks built over months.
- Before consolidating an account structure.
Do not use it when
- Accounts with one or two audiences: nothing to overlap.
- Broad or Advantage+ targeting everywhere: overlap is delegated to the platform there, and the finding would be decorative.
What it needs first
Required
Optional
Preconditions
- Audiences and ad sets readable on the ticked accounts.
- Spend history to weight the findings.
Inputs
scope- Campaigns whose audiences to cross.Default: active prospecting.
Procedure
In order. Every tool named is one the gateway ships, and links to its reference.
List audiences and their definitions on Meta.
On TikTok, run the platform's own overlap measurement across the active audiences.
Map which ad sets use which audiences, with spend.
Rank overlapping pairs by combined spend and overlap share.
Decision rules
The observable condition, what it lets you conclude, and what takes the conclusion back.
When
Two ad sets with meaningful spend target audiences overlapping above 40%
Conclude
Consolidation candidate: merge, or exclude one from the other; show both options with their trade-offs.
When
Overlap is high but one ad set is remarketing and the other prospecting
Conclude
Fix is exclusion, not merging: remarketing pools must be excluded from prospecting, and the absence of that exclusion is the finding.
When
Overlap exists but combined spend is marginal
Conclude
Note and skip: auction self-competition only costs money where money is.
Evidence every conclusion must carry
- Every pair carries the overlap measurement, both spends, and the audience definitions.
- TikTok findings quote the platform's own overlap tool, not an inference.
Where the agent stops
- Merging audiences and adding exclusions are edits humans apply; status changes proposed here go through Safe Writes.
How it goes wrong quietly
The cases where the analysis is wrong and still looks right. Read them before trusting a number.
- Meta does not expose pairwise overlap percentages for every audience type via API; where measurement is unavailable, the skill says inferred-from-definitions and lowers confidence.
- Lookalikes of the same seed at different percentages nest by construction: 1% inside 5%. That is expected, and only a finding when both run prospecting simultaneously.
- Auction overlap is also time-dependent: dayparting can make overlapping audiences never actually meet.
What the answer contains
- 01Pairs, ranked
- Overlap, spends, definitions, proposed fix per pair.
- 02Missing exclusions
- Prospecting ad sets without remarketing exclusions.
- 03Structure proposal
- The consolidated target structure, if warranted.