JOSH WEIL FOR CONGRESS
Two special elections on April 1st could tilt control of Congress back to Democrats, and stop Trump's Project 2025 agenda in its tracks. Gay Valimont (FL-1) and Josh Weil (FL-6) are running in must-win districts. Their victories will be key to flipping Florida blue and securing a Democratic House majority. This isn’t just about Florida; it’s about protecting our democracy and ensuring a future where our rights and freedoms aren’t under attack. Join us by contributing to both Gay Valimont and Josh Weil's campaigns today.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 45.0/100 |
| Spend / Reach / Long. / Eff. | 46.5 · 76.3 · 0.0 · 57.4 |
| Spend range | USD 3,500–3,999 |
| Impressions | 90,000 – 99,999 |
| CPM (≈ $/1k impr) | USD 39.47 |
| Est. audience size | — |
| Days live | 1 (2025-03-27 → 2025-03-28) |
| Created | 2025-03-27 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | FL — Joshua Weil |
| Surfaced by | “senate:Joshua Weil” |
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Extreme close-up selfie-style video frame creating direct, intimate eye contact with viewer |
| Tactic | DIY direct-to-camera authenticity tactic builds trust and urgency, pairing personal appeal with a high-stakes electoral framing around stopping Project 2025 to drive dual-candidate donations. |
| Florida | 12.9% |
| California | 11.8% |
| New York | 6.9% |
| Massachusetts | 4.3% |
| Texas | 3.9% |
| Washington | 3.9% |
| Pennsylvania | 3.7% |
| 18-24 · female | 0.2% |
| 45-54 · male | 3.5% |
| 65+ · male | 13.8% |
| 65+ · female | 33.1% |
| 55-64 · unknown | 0.4% |
| 55-64 · male | 8.1% |
| 55-64 · female | 20.0% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 10.1% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.9% |
| 35-44 · female | 5.3% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 0.8% |
| 25-34 · female | 1.6% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |