Josh Weil - Florida Progressive Democrat US Inactive
JOSH WEIL FOR CONGRESS
Help us fight back
Ad copy
We have two special elections coming up on April 1st that 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.
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Performance proxies
| Overall score | 46.1/100 |
| Spend / Reach / Long. / Eff. | 47.8 · 78.0 · 0.8 · 57.7 |
| Spend range | USD 4,000–4,499 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 37.77 |
| Est. audience size | — |
| Days live | 4 (2025-02-25 → 2025-03-01) |
| Created | 2025-02-25 |
| 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 | Extreme close-up selfie-style video frame creating an intimate, direct-to-camera urgency |
| Tactic | DIY direct-to-camera appeal leverages authenticity and personal urgency to drive small-dollar donations for a high-stakes special election, framing the race as a national referendum on Trump and Project 2025. |
Where it ran (delivery by region)
| California | 15.9% |
| Florida | 8.1% |
| New York | 6.8% |
| Washington | 5.5% |
| Massachusetts | 4.5% |
| Texas | 4.2% |
| Illinois | 3.6% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 5.5% |
| 65+ · male | 11.0% |
| 65+ · female | 22.5% |
| 55-64 · unknown | 0.4% |
| 55-64 · male | 8.6% |
| 55-64 · female | 18.9% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 13.1% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 4.3% |
| 35-44 · female | 9.5% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.6% |
| 25-34 · female | 2.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.5% |
