JOSH WEIL FOR CONGRESS
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Bombshell poll: Dem Josh Weil LEADS in FL-6 special election. A win here on April 1st would be an *unmitigated disaster* for Trump - one solely of his own making. This is a district he won by 30, and his own internal pollster has us up by 3. We are in the eye of the storm now. Republicans will do anything to hold this seat and we are expecting dirty tricks, an escalation in attack ads, voter intimidation, and more. We need to be ready for their all out last ditch press to save their seat. Can you dig deep and rush a donation of $50, $25, even $5 to help us sprint through this final stretch and expand our lead? Josh Weil Democrat for U.S. Congress (FL-6)
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 51.3/100 |
| Spend / Reach / Long. / Eff. | 56.4 · 88.7 · 0.3 · 59.7 |
| Spend range | USD 9,000–9,999 |
| Impressions | 300,000 – 349,999 |
| CPM (≈ $/1k impr) | USD 29.23 |
| Est. audience size | — |
| Days live | 2 (2025-03-29 → 2025-03-31) |
| Created | 2025-03-29 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | FL — Joshua Weil |
| Surfaced by | “senate:Joshua Weil” |
| 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 | Embedded Twitter poll screenshot showing Weil leading in a Trump+30 district used as proof of viability |
| Tactic | The ad deploys a classic momentum-plus-threat fundraising formula — poll data signals winning viability while warnings of 'dirty tricks' and voter intimidation create urgency to donate before it's too late. |
| Florida | 13.1% |
| California | 10.0% |
| New York | 6.2% |
| Washington | 4.5% |
| Massachusetts | 4.5% |
| Illinois | 3.8% |
| Texas | 3.7% |
| 18-24 · female | 0.2% |
| 45-54 · male | 7.3% |
| 65+ · male | 12.0% |
| 65+ · female | 20.2% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.6% |
| 55-64 · female | 14.6% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 12.2% |
| 18-24 · male | 0.4% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 7.3% |
| 35-44 · female | 9.7% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 3.1% |
| 25-34 · female | 2.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.5% |