RecipeTikTok Ads
Read TikTok performance by placement and OS
Placement and OS cuts on TikTok insights, the automatic-placement audit.
IntentWhere TikTok delivery lands and what each surface earns.
- 2
- Steps
- 1
- Tools
- 1
- Rules
- 1
- Failure modes
When to use it
Use it when
- Quarterly.
- Global App Bundle suspicion.
Do not use it when
- No specific contraindication beyond the preconditions below.
What it needs first
Required
Preconditions
- The account is ticked in the dashboard, confirmed via list_accounts.
Inputs
window- Analysis window.Default: last 30 days.
Procedure
In order. Every tool named is one the gateway ships, and links to its reference.
Pull insights cut by placement and OS.
Compare cost vs result share per cut.
Decision rules
The observable condition, what it lets you conclude, and what takes the conclusion back.
When
Non-TikTok inventory takes spend at poor economics
Conclude
Placement restriction candidate: size it, propose via Safe Writes.
Evidence every conclusion must carry
- Every figure carries its account, metric and window.
- Anything below a readable sample size is reported as unjudged, not as zero.
Where the agent stops
- The readout changes nothing. Any change it motivates goes through Safe Writes: preview, human confirmation, then apply.
How it goes wrong quietly
The cases where the analysis is wrong and still looks right. Read them before trusting a number.
- OS cuts entangle with device price tiers: an 'Android problem' can be a price-tier problem.
What the answer contains
- 01Readout
- The figures, with windows and accounts named.
- 02Flags
- What deserves a deeper skill or a human decision.