JULIANA FOR ILLINOIS
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 running for U.S. Senate because we need fighters in the nation’s capital who will stand up to Trump and Republicans. These aren’t normal times, and we need leaders who will bring new ideas to Washington. Governor Pritzker and I are doing everything in our power to fight back against this dangerous power grab. But we can’t do it alone. We need you with us, standing hand in hand, ready to stop Trump in his tracks. So please, if you are with me, contribute $10 or whatever you can to help me fight back against Trump’s militarization of our city and defend our people and values.
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| Overall score | 30.5/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 45.5 · 3.0 · 52.4 |
| Spend range | USD 300–399 |
| Impressions | 4,000 – 4,999 |
| CPM (≈ $/1k impr) | USD 77.68 |
| Est. audience size | — |
| Days live | 12 (2025-10-09 → 2025-10-21) |
| Created | 2025-10-09 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Juliana Stratton |
| Surfaced by | “senate:Juliana Stratton” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold red-orange text overlay 'Donald Trump is invading Illinois.' superimposed over the speaking candidate |
| Tactic | Fear-based attack framing positions Trump as an existential threat to Illinois, then pivots to a direct donation ask to channel outrage into financial action. |
| Illinois | 28.4% |
| California | 10.8% |
| New York | 5.6% |
| Texas | 4.7% |
| Florida | 3.9% |
| Michigan | 3.3% |
| Washington | 3.1% |
| 18-24 · female | 0.1% |
| 45-54 · male | 3.7% |
| 65+ · male | 20.8% |
| 65+ · female | 37.5% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.4% |
| 55-64 · female | 13.5% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.3% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.2% |
| 35-44 · female | 3.4% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.5% |
| 25-34 · female | 2.0% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.7% |