# Read Meta performance by placement

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

Placement breakdown read with cost and result shares, the automatic-placements audit.

**Intent.** Feed, Stories, Reels, Audience Network: who earns, who leaks.

## When to use

- Quarterly.
- Suspicion that one surface leaks spend.

## When not to use

- No specific contraindication beyond the preconditions below.

## Sources

Required: Meta Ads

## Preconditions

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

## Inputs

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

## Procedure

1. Pull insights broken down by placement. — tools: `meta_get_insights`
2. Compare cost share to result share per placement.

## Decision rules

- **When** A placement takes cost share far above result share at volume → **conclude** Exclusion candidate: size the reallocation, propose via Safe Writes.

## 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

- Placement-level attribution is weaker than campaign-level: small gaps are noise, big ones are findings.

## Output

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