Juliana Stratton US Inactive
JULIANA FOR ILLINOIS
Join Team Juliana
Ad copy
Hi, it's Juliana Stratton, and I’m running to represent Illinois in the U.S. Senate. I’m thrilled to have Governor Pritzker's endorsement. Together, we’ve fought to get big things done for working families in Illinois, and I’m running for Senate to continue our fight. The Trump administration is hurting working families, and now more than ever, Illinois needs leaders who will fight to deliver real solutions in Washington — leaders who will bring new ideas and new perspectives to the table. I will be that leader, but I can’t get there alone. This fight isn't going to be easy, but I’m ready to fight for every single one of you. If you’re with me, join Team Juliana and endorse my campaign today.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.6/100 |
| Spend / Reach / Long. / Eff. | 31.7 · 63.8 · 0.6 · 58.4 |
| Spend range | USD 900–999 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 34.53 |
| Est. audience size | — |
| Days live | 3 (2025-04-25 → 2025-04-28) |
| Created | 2025-04-22 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Juliana Stratton |
| Surfaced by | “senate:Juliana Stratton” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | positive candidate |
| Message type | list building survey |
| Emotional appeal | urgency |
| Production tier | professional |
| Who pictured | none |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Bold 'ENDORSE TODAY' call-to-action button dominating the lower half of the blue gradient video frame |
| Tactic | The ad leverages a high-profile gubernatorial endorsement and anti-Trump framing to create urgency and drive list-building sign-ups under the guise of endorsing the candidate. |
Where it ran (delivery by region)
| Illinois | 100.0% |
Who saw it (delivery)
| 18-24 · female | 3.9% |
| 45-54 · male | 4.7% |
| 65+ · male | 6.5% |
| 65+ · female | 16.4% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 6.3% |
| 55-64 · female | 14.3% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 13.2% |
| 18-24 · male | 2.8% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 4.8% |
| 35-44 · female | 11.5% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 5.1% |
| 25-34 · female | 8.7% |
| 18-24 · unknown | 0.3% |
| 65+ · unknown | 0.3% |
