Juliana Stratton US Inactive
JULIANA FOR ILLINOIS
Juliana for Senate
Ad copy
We’re less than 50 days from the Illinois Primary. There’s no more time to wait. Our MAGA donor–backed opponent is flooding the airwaves, and we have just weeks to stop them. Please rush $20.26 to Juliana’s campaign right now. Let’s do this.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 46.8/100 |
| Spend / Reach / Long. / Eff. | 44.9 · 78.0 · 4.4 · 59.7 |
| Spend range | USD 3,000–3,499 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 28.88 |
| Est. audience size | — |
| Days live | 17 (2026-01-28 → 2026-02-14) |
| Created | 2026-01-27 |
| 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's wide-open joyful smile against a repeating campaign banner backdrop creates immediate warmth and energy |
| Tactic | Urgency-driven fundraising tactic pairs a countdown clock framing ('less than 50 days') with a villain narrative (MAGA-backed opponent 'flooding the airwaves') to motivate small-dollar donors with a specific $20.26 ask. |
Where it ran (delivery by region)
| Illinois | 84.3% |
| California | 1.7% |
| New York | 1.0% |
| Florida | 0.9% |
| Indiana | 0.9% |
| Texas | 0.9% |
| Missouri | 0.7% |
Who saw it (delivery)
| 18-24 · female | 0.6% |
| 45-54 · male | 4.0% |
| 65+ · male | 6.7% |
| 65+ · female | 21.4% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 4.7% |
| 55-64 · female | 16.7% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 18.4% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 3.8% |
| 35-44 · female | 14.3% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 2.2% |
| 25-34 · female | 5.0% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
