Juliana Stratton US Inactive
JULIANA FOR ILLINOIS
Juliana Stratton for Senate
Juliana Stratton for Senate
Juliana Stratton for Senate
Ad copy
I’m being pummeled with attacks from the RNC and my self-funded Republican opponent. Can you chip in to my campaign for U.S. Senate and help set the record straight? Every donation helps us reach voters, fight back against dishonest attacks, and make sure they aren't defending this race on their terms.
I’m being pummeled with attacks from the RNC and my self-funded Republican opponent. Can you chip in to my campaign for U.S. Senate and help set the record straight? Every donation helps us reach voters, fight back against dishonest attacks, and make sure they aren't defending this race on their terms.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.7/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 51.9 · 0.8 · 57.1 |
| Spend range | USD 300–399 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 41.12 |
| Est. audience size | — |
| Days live | 4 (2026-05-19 → 2026-05-23) |
| Created | 2026-05-18 |
| Creative variants | 2 body · 3 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | IL — Juliana Stratton |
| Surfaced by | “senate:Juliana Stratton” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Illinois state silhouettes tiled as a dark blue background pattern reinforcing geographic identity |
| Tactic | Classic fundraising underdog framing — candidate positions herself as under siege by wealthy opponent and MAGA machine to trigger donor urgency and small-dollar chip-in response. |
Where it ran (delivery by region)
| Illinois | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 45-54 · male | 3.8% |
| 65+ · male | 21.5% |
| 65+ · female | 33.3% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 6.5% |
| 55-64 · female | 12.4% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 6.7% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.4% |
| 35-44 · female | 5.2% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.5% |
| 25-34 · female | 2.4% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |
