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How should I structure my custom audience lookalikes on Facebook ads when I only have about five hundred email subscribers from my campus side hustle
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How should I structure my custom audience lookalikes on Facebook ads when I only have about five hundred email subscribers from my campus side hustle
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Meta Ads lookalike audience minimum source audience 100 people country recommendation 1000 5000 official Meta Google ↗
Meta custom audience customer list lookalike audience Advantage+ audience controls official Meta 2026 Google ↗
- Meta Ads Lookalike Audiences: A Complete Guide · jonloomer.com
- Lookalike Audiences: How to Build and Test Them · andersoncollaborative.com
- Defining your ad audience : Learn new skills to build your brand or business · facebookblueprint.com
- Planning for your campaign audience : Learn new skills to build your brand or business · facebookblueprint.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Meta Ads lookalike audience minimum source audience 100 people country recommendation 1000 5000 official Meta OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Meta custom audience customer list lookalike audience Advantage+ audience controls official Meta 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |