Juliana Stratton US Inactive
JULIANA FOR ILLINOIS
Juliana Stratton for Illinois
Ad copy
Urgent! Juliana is being bombarded with attacks from the GOP. Can you rush a donation and help Juliana fight back? Juliana is not going to sit by quietly while Trump and Republicans drag us down the path to fascism. Juliana is running for U.S. Senate to make sure Illinois always has leaders willing to fight back, no matter how loud MAGA’s attacks get. But she needs our help getting there. Will you chip in $20 today to help Juliana fight back?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 30.0/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 45.5 · 1.1 · 52.4 |
| Spend range | USD 300–399 |
| Impressions | 4,000 – 4,999 |
| CPM (≈ $/1k impr) | USD 77.68 |
| Est. audience size | — |
| Days live | 5 (2025-09-06 → 2025-09-11) |
| Created | 2025-09-06 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Juliana Stratton |
| Surfaced by | “senate:Juliana Stratton” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold blue gradient video-frame with large candidate name and 'DONATE TODAY' button creating a direct-response urgency hook |
| Tactic | Classic grassroots fundraising alarm tactic — framing the candidate as under attack by MAGA forces to trigger defensive donor psychology and an immediate $20 ask. |
Where it ran (delivery by region)
| Illinois | 26.2% |
| California | 11.7% |
| New York | 5.6% |
| Texas | 5.2% |
| Florida | 4.7% |
| Massachusetts | 2.9% |
| Virginia | 2.7% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 2.3% |
| 65+ · male | 24.8% |
| 65+ · female | 45.7% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 6.2% |
| 55-64 · female | 10.2% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 2.9% |
| 18-24 · male | 0.5% |
| 35-44 · male | 1.6% |
| 35-44 · female | 1.8% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.1% |
| 25-34 · female | 1.3% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 1.0% |
