JULIANA FOR ILLINOIS
We're in the final stretch of the U.S. Senate primary in Illinois, and my friend and governing partner, Juliana Stratton, needs our help. Juliana's running a grassroots movement, and with so little time left, she needs all-hands-on-deck to help win this. If you're ready to send Juliana to the U.S. Senate, please rush $10 or whatever you can afford to Juliana’s campaign today.
We're in the final stretch of the U.S. Senate primary in Illinois, and my friend and governing partner, Juliana Stratton, needs our help. Juliana's running a grassroots movement, and with so little time left, she needs all-hands-on-deck to help win this. If you're ready to send Juliana to the U.S. Senate, please rush $10 or whatever you can afford to Juliana’s campaign today.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 28.1/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 43.0 · 0.6 · 56.8 |
| Spend range | USD 100–199 |
| Impressions | 3,000 – 3,999 |
| CPM (≈ $/1k impr) | USD 42.72 |
| Est. audience size | — |
| Days live | 3 (2026-02-14 → 2026-02-17) |
| Created | 2026-02-13 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Juliana Stratton |
| Surfaced by | “senate:Juliana Stratton” |
| Issue | other |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | donate |
| Standout element | Illinois Governor JB Pritzker delivering a direct video endorsement appeal wearing a purple tie matching the campaign's color scheme |
| Tactic | Leverages a high-profile surrogate (sitting governor) as social proof to drive urgent end-of-primary fundraising through personal relationship framing. |
| Illinois | 71.3% |
| California | 4.7% |
| Florida | 2.0% |
| Texas | 1.8% |
| New York | 1.6% |
| Michigan | 1.2% |
| Minnesota | 1.1% |
| 18-24 · female | 0.1% |
| 45-54 · male | 3.5% |
| 65+ · male | 18.2% |
| 65+ · female | 34.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.2% |
| 55-64 · female | 12.1% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 8.5% |
| 18-24 · male | 0.7% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 3.6% |
| 35-44 · female | 5.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 3.1% |
| 25-34 · female | 1.7% |
| 65+ · unknown | 0.7% |