Josh Weil - Florida Progressive Democrat US Inactive
JOSH WEIL FOR CONGRESS
Flip this seat >>
Ad copy
I'm Josh Weil, a public educator and the Democrat running in the just announced special election in Florida's 6th Congressional District. I'm running against Trump and DeSantis' hand-picked nominee, Randy Fine. He's an ultra-MAGA extremist who will be a rubber stamp on everything they want to do in Congress. To stop him, we need a strong launch to our campaign. Please donate today, and with your support we can flip this seat and take the wind out of Trump's MAGA movement. Josh Weil Democrat for U.S. Congress (FL-6)
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Performance proxies
| Overall score | 44.4/100 |
| Spend / Reach / Long. / Eff. | 46.5 · 73.9 · 1.7 · 55.6 |
| Spend range | USD 3,500–3,999 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 49.99 |
| Est. audience size | — |
| Days live | 7 (2025-01-22 → 2025-01-29) |
| Created | 2025-01-22 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | FL — Joshua Weil |
| Surfaced by | “senate:Joshua Weil” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Des Moines Register headline screenshot used as proof-of-concept that Democrats can flip red seats |
| Tactic | Uses borrowed credibility from a real news headline about an Iowa Democratic special election win to create momentum and urgency, framing a donation as joining a proven winning strategy against an 'ultra-MAGA' opponent. |
Where it ran (delivery by region)
| California | 13.7% |
| Florida | 13.1% |
| New York | 7.2% |
| Texas | 4.7% |
| Pennsylvania | 3.9% |
| Illinois | 3.6% |
| Washington | 3.4% |
Who saw it (delivery)
| 18-24 · female | 0.6% |
| 45-54 · male | 2.0% |
| 65+ · male | 17.4% |
| 65+ · female | 43.4% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 5.3% |
| 55-64 · female | 15.8% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.6% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 1.4% |
| 35-44 · female | 3.5% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.2% |
| 25-34 · female | 1.9% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.6% |
