# Read TikTok campaign performance the right way

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

The TikTok campaign table with objectives and budgets, the first read on the account.

**Intent.** Campaign performance ranked by spend, objectives visible.

## When to use

- Any 'how is TikTok doing' question.

## When not to use

- Averaging across objectives.

## 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. Pull campaigns with objectives and budgets. — tools: `tiktok_get_campaigns`
2. Pull performance ranked by spend. — tools: `tiktok_get_insights`

## Decision rules

- **When** Spend concentrates in one campaign → **conclude** The account's story is that campaign's story: descend there first.

## 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

- TikTok reporting windows lag: same-day reads under-report by design.

## Output

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