Juliana Stratton US Inactive
JULIANA FOR ILLINOIS
Join Team Juliana
Ad copy
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)
Performance proxies
| Overall score | 30.2/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 47.5 · 1.1 · 60.2 |
| Spend range | USD 100–199 |
| Impressions | 5,000 – 5,999 |
| CPM (≈ $/1k impr) | USD 27.18 |
| Est. audience size | — |
| Days live | 5 (2025-08-13 → 2025-08-18) |
| Created | 2025-08-13 |
| 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 | list building survey |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Selfie-style close-up video frame with bold 'Same.' subtitle card creating instant relatability and solidarity |
| Tactic | The populist 'by the people, for the people' framing paired with a no-PAC pledge leverages anti-establishment anger to drive list-building sign-ups, using the candidate's direct, casual selfie format to reinforce authenticity. |
Where it ran (delivery by region)
| Illinois | 100.0% |
Who saw it (delivery)
| 18-24 · female | 1.5% |
| 45-54 · male | 4.8% |
| 65+ · male | 6.7% |
| 65+ · female | 18.1% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 6.2% |
| 55-64 · female | 17.7% |
| 45-54 · unknown | 0.4% |
| 45-54 · female | 16.5% |
| 18-24 · male | 2.1% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 4.2% |
| 35-44 · female | 11.4% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 3.2% |
| 25-34 · female | 5.8% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
