# List Meta studies and what they settled

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

Ad studies listed with their status, the institutional memory read before designing the next test.

**Intent.** The account's experiment history: what was tested, what concluded.

## When to use

- Before proposing a test someone already ran.
- Building the learning log.

## 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. List studies with dates and cells. — tools: `meta_get_ad_studies`
2. Pull results for the concluded ones that matter. — tools: `meta_get_study_results`

## Decision rules

- **When** A proposed test duplicates a concluded one → **conclude** Read the old result first: rerunning is only justified if conditions changed materially.

## 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

- Old studies measured old creative and old auctions: expiry applies to learnings too.

## Output

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

## Related

- Skill: [lift-study-readout](https://www.getmcpads.com/skills/lift-study-readout.md)