Diagnose a TikTok spend drop fast
The TikTok spend-drop sequence: delivery status first, because rejection and review are the usual suspects there.
IntentWhy TikTok spend fell: delivery status, review, budgets, or auction.
- 3
- Steps
- 4
- Tools
- 2
- Rules
- 1
- Failure modes
When to use it
Use it when
- TikTok spend fell hard against its norm.
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.
Confirm the drop and scope.
Check delivery status across the scope.
Check budgets and statuses on campaigns and ad groups.
Decision rules
The observable condition, what it lets you conclude, and what takes the conclusion back.
When
Rejections or re-reviews cluster on the drop date
Conclude
Policy event: group by creative pattern and fix the pattern, not ad by ad.
When
Spark authorisations expired on the affected ads
Conclude
The silent killer on TikTok: renewal is the fix and a creator conversation.
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.
- Re-review after edits pauses delivery without a status change anyone made: editing during review restarts the clock.
What the answer contains
- 01Readout
- The figures, with windows and accounts named.
- 02Flags
- What deserves a deeper skill or a human decision.