Josh Weil - Florida Progressive Democrat US Inactive
JOSH WEIL FOR CONGRESS
Help us fight back
Ad copy
Gay Valimont (FL-1) and Josh Weil (FL-6) are running in must-win districts on April 1st. The House of Representatives is currently 215 (D) to 217 (R)—we can stop Trump's agenda and Project 2025 with their victories. 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, for the entire country. 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)
Performance proxies
| Overall score | 57.6/100 |
| Spend / Reach / Long. / Eff. | 69.6 · 99.5 · 3.0 · 58.5 |
| Spend range | USD 30,000–34,999 |
| Impressions | 900,000 – 999,999 |
| CPM (≈ $/1k impr) | USD 34.21 |
| Est. audience size | — |
| Days live | 12 (2025-03-06 → 2025-03-18) |
| Created | 2025-03-06 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Casual home-video selfie style delivery with bold white subtitle text creating a viral social media feel |
| Tactic | Uses a high-stakes electoral math argument (215D vs 217R) to manufacture urgency and frame a local special election as a national inflection point, driving small-dollar donations via ActBlue. |
Where it ran (delivery by region)
| California | 15.4% |
| Florida | 10.8% |
| New York | 7.7% |
| Texas | 4.7% |
| Washington | 4.4% |
| Massachusetts | 3.9% |
| Illinois | 3.8% |
Who saw it (delivery)
| 18-24 · female | 1.2% |
| 45-54 · male | 6.0% |
| 65+ · male | 6.5% |
| 65+ · female | 15.9% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 6.0% |
| 55-64 · female | 13.3% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 11.6% |
| 18-24 · male | 1.3% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 8.0% |
| 35-44 · female | 13.0% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 6.6% |
| 25-34 · female | 8.9% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.3% |
