Juliana Stratton US Inactive
JULIANA FOR ILLINOIS
Help Juliana Fight Back
Ad copy
Hey! It’s Governor Pritzker. I'm so excited to endorse Juliana Stratton for U.S. Senate, but she has a tough fight ahead, and she is going to need our help. Right now, Trump is waging war on working Americans and leading our country into crisis after crisis. In Illinois, Juliana and I are fighting back and showing that there’s an alternative to Trump’s chaos. But to stand a chance against Trump, we need leaders who will bring new ideas and new perspectives to Washington. Juliana will be that leader, but she can’t get there alone. If you can, chip in here to help her campaign get off to a strong start. Thank you!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 35.9/100 |
| Spend / Reach / Long. / Eff. | 27.6 · 55.8 · 4.7 · 55.4 |
| Spend range | USD 600–699 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 51.96 |
| Est. audience size | — |
| Days live | 18 (2025-09-11 → 2025-09-29) |
| Created | 2025-09-11 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Juliana Stratton |
| Surfaced by | “senate:Juliana Stratton” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | professional |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold blue gradient campaign logo card with prominent DONATE TODAY button and play button overlay suggesting video endorsement from Governor Pritzker |
| Tactic | Leverages a high-profile gubernatorial endorsement and anti-Trump fear framing to create urgency and drive immediate donations via ActBlue. |
Where it ran (delivery by region)
| Illinois | 35.9% |
| California | 10.3% |
| Texas | 4.3% |
| Florida | 4.2% |
| New York | 4.2% |
| Michigan | 2.6% |
| Virginia | 2.4% |
Who saw it (delivery)
| 18-24 · female | 0.4% |
| 45-54 · male | 4.3% |
| 65+ · male | 25.6% |
| 65+ · female | 35.9% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 9.0% |
| 55-64 · female | 10.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.5% |
| 18-24 · male | 0.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.3% |
| 35-44 · female | 2.5% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.4% |
| 25-34 · female | 1.4% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.7% |
