Juliana Stratton US Inactive
JULIANA FOR ILLINOIS
Juliana for Senate
Ad copy
BREAKING! New polling shows Juliana rapidly gaining ground on her MAGA and ICE-backed opponent! She’s rising in the polls, and her opponent dropped by 9 points. This race is heating up, and Juliana is rising because of supporters like you. Now more than ever, we need to keep up our momentum. Can you rush a contribution to help us push back against the special-interest money trying to buy this seat? Every dollar helps us reach more voters and win on March 17th.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 30.5/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 47.5 · 0.6 · 56.4 |
| Spend range | USD 200–299 |
| Impressions | 5,000 – 5,999 |
| CPM (≈ $/1k impr) | USD 45.37 |
| Est. audience size | — |
| Days live | 3 (2026-02-17 → 2026-02-20) |
| Created | 2026-02-17 |
| 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 | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate mid-speech in bold purple blouse against vibrant abstract art, conveying passion and momentum |
| Tactic | Classic urgency-driven fundraising tactic combining a 'BREAKING' poll surge hook with opponent contrast labeling (MAGA/ICE-backed) to trigger fear of losing and motivate small-dollar donors before a specific primary deadline. |
Where it ran (delivery by region)
| Illinois | 79.1% |
| California | 2.5% |
| New York | 1.7% |
| Florida | 1.4% |
| Texas | 1.3% |
| Michigan | 1.0% |
| Indiana | 0.9% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 4.2% |
| 65+ · male | 12.1% |
| 65+ · female | 30.0% |
| 55-64 · unknown | 0.4% |
| 55-64 · male | 6.9% |
| 55-64 · female | 16.6% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 11.4% |
| 18-24 · male | 0.8% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 3.6% |
| 35-44 · female | 6.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 3.0% |
| 25-34 · female | 2.9% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |
