JULIANA FOR ILLINOIS
It’s Senator Tammy Duckworth. I don’t reach out often, but today I have an urgent request. Juliana’s opponent just launched an attack ad against her filled with baseless accusations about her record. Can you chip in and help her set the record straight? It’s outrageous. He knows Juliana has what it takes to win, so he’s trying to drown out her people-powered movement with his massive war chest filled with MAGA ally, Trump advisor and ICE contractor cash. This couldn’t have come at a worse time, with early voting starting and Election Day around the corner, she needs a massive grassroots team to help her respond right now. If you care about electing a Democrat to the U.S. Senate who will put your interests first, I am urgently asking: Please chip in $10 or any amount you can to help Juliana Stratton during this critical moment.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 38.7/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 61.7 · 3.6 · 54.9 |
| Spend range | USD 1,000–1,499 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 55.53 |
| Est. audience size | — |
| Days live | 14 (2026-02-26 → 2026-03-12) |
| Created | 2026-02-26 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Juliana Stratton |
| Surfaced by | “senate:Juliana Stratton” |
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | none |
| Call to action | donate |
| Standout element | Senator Tammy Duckworth sitting alongside candidate Juliana Stratton lending celebrity endorser credibility in an intimate casual setting |
| Tactic | The ad uses a high-profile surrogate (Sen. Duckworth) as the voice of urgency to trigger a reactive donation response by framing the opponent's attack ad as an existential threat that only grassroots money can counter. |
| Illinois | 63.9% |
| California | 5.4% |
| New York | 2.7% |
| Florida | 2.3% |
| Texas | 1.9% |
| Michigan | 1.4% |
| Missouri | 1.4% |
| 18-24 · female | 1.0% |
| 45-54 · male | 3.6% |
| 65+ · male | 14.5% |
| 65+ · female | 31.0% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 6.9% |
| 55-64 · female | 14.5% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 9.0% |
| 18-24 · male | 1.2% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 3.3% |
| 35-44 · female | 6.8% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 2.7% |
| 25-34 · female | 3.7% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |