Josh Weil - Florida Progressive Democrat US Inactive
JOSH WEIL FOR CONGRESS
Let's flip this seat
Ad copy
On April 1st we can FLIP this seat and put a stop to Trump and Project 2025. 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 every Democrat in the country to pitch in and help. 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)
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.6/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 73.9 · 0.0 · 59.5 |
| Spend range | USD 2,000–2,499 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 29.99 |
| Est. audience size | — |
| Days live | 1 (2025-03-31 → 2025-04-01) |
| Created | 2025-03-31 |
| 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 | diverse crowd, candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold all-caps 'LAST CHANCE TO FIGHT TRUMP.' overlay on a grassroots rally crowd scene creates maximum urgency |
| Tactic | The ad fuses existential urgency ('last chance') with a concrete fundraising ask, using the opponent as a foil to nationalize a local special election and broaden the donor pool. |
Where it ran (delivery by region)
| Florida | 14.2% |
| California | 13.7% |
| New York | 6.4% |
| Massachusetts | 4.4% |
| Washington | 4.3% |
| Texas | 4.1% |
| Illinois | 3.8% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 45-54 · male | 5.6% |
| 65+ · male | 8.8% |
| 65+ · female | 22.9% |
| 55-64 · unknown | 0.4% |
| 55-64 · male | 7.6% |
| 55-64 · female | 18.6% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 13.9% |
| 18-24 · male | 0.4% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 5.1% |
| 35-44 · female | 10.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.4% |
| 25-34 · female | 2.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.5% |
