JULIANA FOR ILLINOIS
It’s Senator Tammy Duckworth. I don’t reach out often, but today I have an urgent request. My friend Juliana Stratton is running for U.S. Senate, and with less than 70 days until her primary, this race is coming down to the wire. Juliana’s opponent is spending millions to buy this race. If we come up short, Illinois could end up with a Democratic senator backed by special interests, MAGA donors and even Trump advisers closely tied to ICE. Juliana has been a fierce advocate for working families, reproductive rights and justice for every Illinoisan. Now she’s taking that fight to the U.S. Senate. I know Juliana has what it takes to win and serve alongside me in the Senate. But she can’t do it without our help. If you can, please chip in right now to support Juliana’s campaign and help send her to Washington.
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| Overall score | 47.1/100 |
| Spend / Reach / Long. / Eff. | 49.0 · 76.3 · 7.4 · 55.6 |
| Spend range | USD 4,500–4,999 |
| Impressions | 90,000 – 99,999 |
| CPM (≈ $/1k impr) | USD 49.99 |
| Est. audience size | — |
| Days live | 28 (2026-01-15 → 2026-02-12) |
| Created | 2026-01-15 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Juliana Stratton |
| Surfaced by | “senate:Juliana Stratton” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, diverse crowd |
| Symbols | none |
| Call to action | donate |
| Standout element | Senator Tammy Duckworth seated alongside candidate Juliana Stratton in a casual coffee-chat setting, lending high-profile endorsement credibility |
| Tactic | Leverages a trusted Senate endorser (Duckworth) speaking directly to voters in an intimate peer-to-peer tone, pairing warm visuals with fear-based copy about MAGA and ICE-tied opponents to drive urgent donations. |
| Illinois | 55.6% |
| California | 5.5% |
| New York | 3.0% |
| Florida | 2.7% |
| Texas | 2.2% |
| Michigan | 1.8% |
| Wisconsin | 1.8% |
| 18-24 · female | 0.8% |
| 45-54 · male | 2.9% |
| 65+ · male | 11.4% |
| 65+ · female | 31.4% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 4.9% |
| 55-64 · female | 15.9% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 10.9% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 2.7% |
| 35-44 · female | 9.9% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 2.1% |
| 25-34 · female | 4.9% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.6% |