Juliana Stratton US Inactive
JULIANA FOR ILLINOIS
Juliana Stratton for Senate
Juliana Stratton for Senate
Ad copy
Hey, it’s Juliana Stratton. I’m so proud to be Illinois’ Democratic nominee for U.S. Senate. Our first FEC deadline is just days away, and all eyes will be on our campaign. Our Republican opponent and Super PACs will be watching to see if we have what it takes to win in November. Can you chip in $10 or whatever you can today to help us show our strength?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.2/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 50.6 · 1.1 · 56.2 |
| Spend range | USD 300–399 |
| Impressions | 7,000 – 7,999 |
| CPM (≈ $/1k impr) | USD 46.6 |
| Est. audience size | — |
| Days live | 5 (2026-03-26 → 2026-03-31) |
| Created | 2026-03-26 |
| 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 | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate's wide-open mouth mid-exclamation creates an electric, high-energy selfie-style freeze frame that demands attention |
| Tactic | The DIY selfie-video format and FEC deadline urgency tactic combine to manufacture scarcity and peer pressure, making donors feel this is a pivotal credibility test the campaign must pass. |
Where it ran (delivery by region)
| Illinois | 72.4% |
| California | 3.7% |
| New York | 1.8% |
| Texas | 1.7% |
| Florida | 1.6% |
| Michigan | 1.5% |
| Indiana | 1.2% |
Who saw it (delivery)
| 18-24 · female | 0.8% |
| 45-54 · male | 3.7% |
| 65+ · male | 13.1% |
| 65+ · female | 28.3% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 7.6% |
| 55-64 · female | 14.8% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 9.4% |
| 18-24 · male | 1.3% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 3.8% |
| 35-44 · female | 7.4% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 3.6% |
| 25-34 · female | 4.3% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.6% |
