Juliana Stratton US Inactive
JULIANA FOR ILLINOIS
Become a Founding Donor
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 | 29.2/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 45.5 · 0.6 · 58.7 |
| Spend range | USD 100–199 |
| Impressions | 4,000 – 4,999 |
| CPM (≈ $/1k impr) | USD 33.23 |
| Est. audience size | — |
| Days live | 3 (2025-04-25 → 2025-04-28) |
| Created | 2025-04-23 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Juliana Stratton |
| Surfaced by | “senate:Juliana Stratton” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | professional |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold name-logo on gradient blue background with prominent DONATE TODAY button anchoring the frame |
| Tactic | Leverages a high-profile gubernatorial endorsement from Pritzker to transfer credibility while framing Trump as the villain to create urgency around donating early in the campaign cycle. |
Where it ran (delivery by region)
| Illinois | 100.0% |
Who saw it (delivery)
| 18-24 · female | 1.2% |
| 45-54 · male | 5.6% |
| 65+ · male | 16.2% |
| 65+ · female | 23.7% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 10.0% |
| 55-64 · female | 12.1% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 7.5% |
| 18-24 · male | 2.4% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 4.7% |
| 35-44 · female | 6.5% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 4.6% |
| 25-34 · female | 3.9% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
