JULIANA FOR ILLINOIS
Juliana is taking her fight for working families to Washington. Show your support by contributing to her grassroots campaign today.
Bad news from Juliana Stratton. As you read this, we’re less than days away from our November fundraising deadline, and one of my opponents is already outspending us across Illinois. But what makes this really bad is that our fundraising is behind where it needs to be in order to compete with his corporate PAC cash. That’s not great. To say the least. So please. If you want to send a fighter to Washington who will stand up to Trump, defend Illinois, and fight for working families, today is the day to donate. It’s going to take everyone’s help. Use this link right now
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| Overall score | 29.9/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 45.5 · 0.8 · 52.4 |
| Spend range | USD 300–399 |
| Impressions | 4,000 – 4,999 |
| CPM (≈ $/1k impr) | USD 77.68 |
| Est. audience size | — |
| Days live | 4 (2025-11-26 → 2025-11-30) |
| Created | 2025-11-26 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Juliana Stratton |
| Surfaced by | “senate:Juliana Stratton” |
| Issue | economy taxes |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate in commanding purple dress against a calm indoor backdrop projects quiet confidence amid an urgent fundraising ask |
| Tactic | Classic deadline-driven fundraising tactic using a fear-of-losing framing (being outspent by corporate PAC money) paired with a strong fighter-for-working-families identity appeal to drive immediate small-dollar donations. |
| Illinois | 50.1% |
| California | 5.7% |
| New York | 3.6% |
| Florida | 3.5% |
| Texas | 3.4% |
| Maryland | 2.8% |
| Georgia | 2.1% |
| 18-24 · female | 0.1% |
| 45-54 · male | 3.2% |
| 65+ · male | 26.9% |
| 65+ · female | 39.0% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.4% |
| 55-64 · female | 10.9% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.9% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.8% |
| 35-44 · female | 1.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.3% |
| 25-34 · female | 0.9% |
| 65+ · unknown | 0.8% |