Josh Weil - Florida Progressive Democrat US Inactive
JOSH WEIL FOR CONGRESS
Flip this seat >>
Ad copy
I'm 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)
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 48.7/100 |
| Spend / Reach / Long. / Eff. | 53.9 · 80.0 · 5.8 · 55.0 |
| Spend range | USD 7,000–7,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 54.54 |
| Est. audience size | — |
| Days live | 22 (2025-01-03 → 2025-01-25) |
| Created | 2025-01-03 |
| 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 | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Dark, dimly lit close-up selfie-style video frame with bold white caption text creating urgency |
| Tactic | The ad leverages a direct-to-camera grassroots appeal combined with strong 'ultra-MAGA extremist' framing to trigger fear and urgency, driving donors to fund a special election launch before momentum is lost. |
Where it ran (delivery by region)
| Florida | 14.5% |
| California | 14.4% |
| New York | 7.2% |
| Texas | 4.2% |
| Pennsylvania | 4.0% |
| Washington | 3.3% |
| Massachusetts | 3.3% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 45-54 · male | 1.6% |
| 65+ · male | 18.0% |
| 65+ · female | 49.3% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 6.0% |
| 55-64 · female | 15.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.9% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 0.7% |
| 35-44 · female | 1.6% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 0.5% |
| 25-34 · female | 0.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.8% |
