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 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 | 59.1/100 |
| Spend / Reach / Long. / Eff. | 65.7 · 97.1 · 14.0 · 59.5 |
| Spend range | USD 20,000–24,999 |
| Impressions | 700,000 – 799,999 |
| CPM (≈ $/1k impr) | USD 30.0 |
| Est. audience size | — |
| Days live | 52 (2025-01-29 → 2025-03-22) |
| Created | 2025-01-29 |
| 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 | attack opponent |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | us flag, capitol statue |
| Call to action | donate |
| Standout element | Nazi Germany '4th Reich' comparison overlaid on Elon Musk at a DOGE podium with inauguration news chyrons |
| Tactic | Uses extreme historical analogy (4th Reich) and a viral image of Musk to trigger visceral fear and urgency, driving small-dollar fundraising donations by framing the special election as a national-stakes fight against fascism. |
Where it ran (delivery by region)
| California | 11.3% |
| Florida | 8.1% |
| New York | 5.6% |
| Texas | 4.7% |
| Washington | 4.6% |
| Pennsylvania | 4.0% |
| Illinois | 3.8% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 5.6% |
| 65+ · male | 11.6% |
| 65+ · female | 23.3% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 7.5% |
| 55-64 · female | 16.7% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 13.7% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 4.8% |
| 35-44 · female | 10.3% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.9% |
| 25-34 · female | 2.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.5% |
