Josh Weil - Florida Progressive Democrat US Inactive
JOSH WEIL FOR CONGRESS
Flip this seat >>
Ad copy
I'm Josh Weil, a public educator and Democratic nominee for the April 1st 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 | 53.1/100 |
| Spend / Reach / Long. / Eff. | 59.4 · 91.4 · 2.2 · 59.6 |
| Spend range | USD 10,000–14,999 |
| Impressions | 400,000 – 449,999 |
| CPM (≈ $/1k impr) | USD 29.41 |
| Est. audience size | — |
| Days live | 9 (2025-02-19 → 2025-02-28) |
| Created | 2025-02-19 |
| 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 | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | candidate speaking directly to camera in branded campaign polo with tattoos visible, conveying authenticity and working-class relatability |
| Tactic | Direct-to-camera fundraising appeal pairs personal introduction with sharp contrast framing against named MAGA opponents to drive urgency-based donations via ActBlue. |
Where it ran (delivery by region)
| California | 13.2% |
| Florida | 11.3% |
| New York | 7.7% |
| Massachusetts | 4.2% |
| Texas | 4.2% |
| Illinois | 4.0% |
| Pennsylvania | 4.0% |
Who saw it (delivery)
| 18-24 · female | 0.4% |
| 45-54 · male | 5.4% |
| 65+ · male | 8.8% |
| 65+ · female | 25.6% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 7.2% |
| 55-64 · female | 18.2% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 13.8% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 4.3% |
| 35-44 · female | 10.0% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.7% |
| 25-34 · female | 3.0% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.4% |
