# Diagnose a TikTok spend drop fast

> Tier: recipe. Operating recipe: real tool sequence, core rules, known traps.

The TikTok spend-drop sequence: delivery status first, because rejection and review are the usual suspects there.

**Intent.** Why TikTok spend fell: delivery status, review, budgets, or auction.

## When to use

- TikTok spend fell hard against its norm.

## When not to use

- No specific contraindication beyond the preconditions below.

## Sources

Required: TikTok Ads

## Preconditions

- The account is ticked in the dashboard, confirmed via list_accounts.

## Inputs

- `window`: Analysis window. Default: last 30 days.

## Procedure

1. Confirm the drop and scope. — tools: `tiktok_get_insights`
2. Check delivery status across the scope. — tools: `tiktok_get_delivery_status`
3. Check budgets and statuses on campaigns and ad groups. — tools: `tiktok_get_campaigns`, `tiktok_get_adgroups`

## Decision rules

- **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 requirements

- Every figure carries its account, metric and window.
- Anything below a readable sample size is reported as unjudged, not as zero.

## Human approval boundary

- The readout changes nothing. Any change it motivates goes through Safe Writes: preview, human confirmation, then apply.

## Failure modes

- Re-review after edits pauses delivery without a status change anyone made: editing during review restarts the clock.

## Output

- **Readout**: The figures, with windows and accounts named.
- **Flags**: What deserves a deeper skill or a human decision.

## Related

- Skill: [tiktok-delivery-check](https://www.getmcpads.com/skills/tiktok-delivery-check.md)