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RecipeTikTok Ads

Inventory TikTok audiences and usage

Custom and lookalike audiences mapped to usage, before consolidation or new builds.

IntentThe audience estate with sizes and the ad groups using each.

2
Steps
3
Tools
1
Rules
1
Failure modes

When to use it

Use it when

  • Quarterly hygiene.
  • Before overlap analysis.

Do not use it when

  • No specific contraindication beyond the preconditions below.

What it needs first

Required

Preconditions

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

Inputs

window
Analysis window.Default: last 30 days.

Procedure

In order. Every tool named is one the gateway ships, and links to its reference.

  1. List audiences with types and sizes.

  2. Read details for the ones in use and map ad groups.

Decision rules

The observable condition, what it lets you conclude, and what takes the conclusion back.

  • When

    Audiences built from stale sources still serve prospecting

    Conclude

    Date the source and flag the ad groups: stale seeds make stale lookalikes.

Evidence every conclusion must carry

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

Where the agent stops

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

How it goes wrong quietly

The cases where the analysis is wrong and still looks right. Read them before trusting a number.

  • Size estimates are bands: differences inside a band are not findings.

What the answer contains

01Readout
The figures, with windows and accounts named.
02Flags
What deserves a deeper skill or a human decision.