COMMITTEE TO ELECT ALAN GRAYSON
Is there anything we can say to convince you to chip in before our end-of-quarter deadline? What if our fight down here in Florida meant the difference between champions for justice like you and me in Washington, and the opposite in Donald Trump and Rick Scott? Here's what I think: Florida can register 1,000,000 more Democrats this year, and become blue again. WITH YOUR HELP. We have to hire canvassers to go door to door to register voters. And we have to pay those canvassers. Will you join in that effort? I don't take a dime of corporate money, so support from folks like you powers our campaign. As President Obama would say, are you in? ⬇️⬇️
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 42.1/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 70.7 · 0.6 · 59.0 |
| Spend range | USD 1,500–1,999 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 31.81 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 3 (2024-03-28 → 2024-03-31) |
| Created | 2024-03-28 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | FL — Alan Grayson |
| Surfaced by | “senate:Alan Grayson” |
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Unflattering close-up photo of Rick Scott mid-laugh paired with bold red attack headline creates a mocking, derisive tone |
| Tactic | Classic end-of-quarter fundraising urgency tactic combined with opponent-attack framing to drive donations by stoking donor anger toward Rick Scott and Trump. |
| California | 14.1% |
| Pennsylvania | 8.2% |
| New York | 6.7% |
| North Carolina | 6.6% |
| Florida | 5.6% |
| Wisconsin | 4.7% |
| Ohio | 4.7% |
| 18-24 · unknown | 0.0% |
| 65+ · male | 17.9% |
| 25-34 · unknown | 0.1% |
| 18-24 · female | 0.1% |
| 25-34 · female | 1.8% |
| 25-34 · male | 2.9% |
| 35-44 · female | 6.7% |
| 35-44 · male | 7.5% |
| 65+ · female | 20.9% |
| 35-44 · unknown | 0.2% |
| 45-54 · male | 8.5% |
| 55-64 · female | 11.8% |
| 45-54 · female | 10.0% |
| 45-54 · unknown | 0.2% |
| 55-64 · male | 10.2% |
| 55-64 · unknown | 0.3% |
| 65+ · unknown | 0.5% |
| 18-24 · male | 0.3% |