JULIANA FOR ILLINOIS
It’s Senator Tammy Duckworth. I’ll keep this quick: My friend Juliana Stratton is running for U.S. Senate, and with the primary rapidly approaching, this race is coming down to the wire. Juliana’s MAGA-backed opponent has spent millions trying to buy this seat. We can’t let that happen. I know Juliana has what it takes to win and serve alongside me in the Senate. But she’s counting on our help keeping her ads on air and reaching the voters she needs to win. 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 | 28.1/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 43.0 · 0.8 · 56.8 |
| Spend range | USD 100–199 |
| Impressions | 3,000 – 3,999 |
| CPM (≈ $/1k impr) | USD 42.72 |
| Est. audience size | — |
| Days live | 4 (2026-03-09 → 2026-03-13) |
| Created | 2026-03-09 |
| 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, medical |
| Symbols | none |
| Call to action | donate |
| Standout element | Senator Tammy Duckworth personally appearing alongside the candidate in a casual coffee-chat setting to lend direct endorsement credibility |
| Tactic | Leverages Duckworth's trusted incumbent senator status as a third-party validator while framing the opponent as a MAGA-funded outsider trying to 'buy' the seat, combining urgency and peer pressure to drive small-dollar donations before the primary. |
| Illinois | 58.2% |
| California | 5.8% |
| New York | 2.5% |
| Florida | 2.3% |
| Ohio | 1.8% |
| Missouri | 1.8% |
| Washington | 1.8% |
| 18-24 · female | 0.5% |
| 45-54 · male | 3.8% |
| 65+ · male | 17.5% |
| 65+ · female | 34.1% |
| 55-64 · unknown | 0.5% |
| 55-64 · male | 7.1% |
| 55-64 · female | 13.5% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 8.2% |
| 18-24 · male | 0.9% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.1% |
| 35-44 · female | 4.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.5% |
| 25-34 · female | 2.2% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.9% |