# Read Pinterest performance by targeting dimension

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

The targeting report read per dimension, the feedback loop for planning.

**Intent.** Which targeting choices earn: interests, keywords, demographics.

## When to use

- Monthly.
- Before rebuilding targeting sets.

## When not to use

- No specific contraindication beyond the preconditions below.

## Sources

Required: Pinterest Ads

## Preconditions

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

## Inputs

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

## Procedure

1. Run the targeting report per dimension. — tools: `pinterest_run_targeting_report`
2. Rank dimensions by efficiency at volume.

## Decision rules

- **When** One interest carries most conversions at volume → **conclude** Concentration finding: plan the expansion around its neighbours, and the risk around its dependence.

## 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

- Cross-dimension overlap double-counts: dimensions are lenses, not partitions.

## Output

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