Juliana Stratton US Inactive
JULIANA FOR ILLINOIS
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We’re not going to sit by quietly while he drags us down the path to fascism. I’m fighting back — but I can’t do it alone. Can you sign my petition and demand that Donald Trump end his National Guard tour in Chicago and stop targeting our immigrant communities in Chicago?
Ad copy
Trump is trying to manufacture a crisis in Chicago. We’re not going to sit by quietly while he drags us down the path to fascism. I’m fighting back — but I can’t do it alone. Can you sign my petition and demand that Donald Trump end his National Guard threats in Chicago and stop targeting our immigrant communities in Chicago?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.9/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 53.0 · 0.8 · 60.5 |
| Spend range | USD 200–299 |
| Impressions | 9,000 – 9,999 |
| CPM (≈ $/1k impr) | USD 26.26 |
| Est. audience size | — |
| Days live | 4 (2025-09-03 → 2025-09-07) |
| Created | 2025-09-03 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Juliana Stratton |
| Surfaced by | “senate:Juliana Stratton” |
🧠 AI analysis
| Issue | immigration |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | police, veterans military |
| Symbols | military, border |
| Call to action | sign petition |
| Standout element | Dark silhouettes of masked, heavily armed tactical officers looming beneath bold yellow warning text |
| Tactic | The ad leverages fear of authoritarian imagery — masked federal officers — to drive petition signatures while framing Trump as a fascist aggressor threatening immigrant communities. |
Where it ran (delivery by region)
| Illinois | 100.0% |
Who saw it (delivery)
| 18-24 · female | 1.2% |
| 45-54 · male | 3.7% |
| 65+ · male | 11.5% |
| 65+ · female | 30.8% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 5.6% |
| 55-64 · female | 15.9% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 11.1% |
| 18-24 · male | 1.1% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 3.2% |
| 35-44 · female | 7.8% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 2.2% |
| 25-34 · female | 4.1% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.6% |
