Juliana Stratton US Inactive
JULIANA FOR ILLINOIS
LAST FEC Deadline
Ad copy
If you've been waiting for the right time to support Juliana Stratton's campaign for the U.S. Senate in Illinois, now is that time. We're just days away from our final FEC fundraising deadline and we can’t afford to fall short. Our MAGA-backed opponent will be looking to see if we can continue the grassroots strength needed to take our movement to Washington. I need you with me. Can you chip in here and help before it’s too late?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 31.1/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 49.2 · 0.3 · 57.6 |
| Spend range | USD 200–299 |
| Impressions | 6,000 – 6,999 |
| CPM (≈ $/1k impr) | USD 38.39 |
| Est. audience size | — |
| Days live | 2 (2026-02-24 → 2026-02-26) |
| Created | 2026-02-20 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate speaking directly to camera in bold purple against colorful abstract art, conveying urgency and authenticity |
| Tactic | Classic FEC deadline urgency tactic pairs a direct personal ask from the candidate with a contrast against a MAGA opponent to drive emotional giving. |
Where it ran (delivery by region)
| Illinois | 79.7% |
| California | 2.6% |
| New York | 1.4% |
| Texas | 1.2% |
| Florida | 1.2% |
| Michigan | 1.1% |
| Maryland | 0.9% |
Who saw it (delivery)
| 18-24 · female | 1.8% |
| 45-54 · male | 3.4% |
| 65+ · male | 8.1% |
| 65+ · female | 22.4% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 5.4% |
| 55-64 · female | 14.4% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 11.5% |
| 18-24 · male | 2.3% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 4.9% |
| 35-44 · female | 10.7% |
| 25-34 · unknown | 0.5% |
| 25-34 · male | 5.2% |
| 25-34 · female | 7.9% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.4% |
