JULIANA FOR ILLINOIS
Are you tired of Corporate PAC money in politics? If so, add your name and endorse Juliana's grassroots movement for U.S. Senate. Unlike her opponents, Juliana isn’t taking a DIME from Corporate PACs because this campaign is by the people, for the people. But to keep building this grassroots movement, Juliana needs your help today. Please add your name and help us bring our grassroots coalition to Washington. We can’t do this without you.
Are you tired of Corporate PAC money in politics? If so, add your name and endorse Juliana's grassroots movement for U.S. Senate. Unlike her opponents, Juliana isn’t taking a DIME from Corporate PACs because this campaign is by the people, for the people. But to keep building this grassroots movement, Juliana needs your help today. Please add your name and help us bring our grassroots coalition to Washington. We can’t do this without you.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 28.2/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 43.0 · 1.1 · 56.8 |
| Spend range | USD 100–199 |
| Impressions | 3,000 – 3,999 |
| CPM (≈ $/1k impr) | USD 42.72 |
| Est. audience size | — |
| Days live | 5 (2025-08-13 → 2025-08-18) |
| Created | 2025-08-13 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Juliana Stratton |
| Surfaced by | “senate:Juliana Stratton” |
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | list building survey |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | money cash, capitol statue |
| Call to action | sign petition |
| Standout element | Pantagraph newspaper headline used as third-party validation of the no-corporate-PAC pledge |
| Tactic | Borrows editorial credibility from a local newspaper headline to legitimize the anti-corporate-PAC message while driving list-building sign-ups through populist 'by the people' framing. |
| Illinois | 100.0% |
| 18-24 · female | 2.8% |
| 45-54 · male | 5.5% |
| 65+ · male | 8.7% |
| 65+ · female | 15.2% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 6.9% |
| 55-64 · female | 15.4% |
| 45-54 · unknown | 0.4% |
| 45-54 · female | 12.6% |
| 18-24 · male | 3.5% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 5.2% |
| 35-44 · female | 10.3% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 5.8% |
| 25-34 · female | 6.3% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.3% |