Alan Grayson US Inactive
COMMITTEE TO ELECT ALAN GRAYSON
What we stand for >>
Ad copy
Alan Grayson always fights for the little guy: 🩺 Universal healthcare. ⚠️ Reducing drug addiction, gun violence, and violent crime. ✊🏽 Ending discrimination and bigotry. 🌎 Saving planet earth. If these sound like priorities you agree with, I'm asking you to chip in and join our movement to register voters down here in Florida. 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? As President Obama would say, are you in? Donate at the link below ⬇️⬇️
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 42.5/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 69.3 · 4.4 · 57.9 |
| Spend range | USD 1,500–1,999 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 36.83 |
| Est. audience size | — |
| Days live | 17 (2024-03-26 → 2024-04-12) |
| Created | 2024-03-26 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | FL — Alan Grayson |
| Surfaced by | “senate:Alan Grayson” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | us flag, money cash |
| Call to action | donate |
| Standout element | Florida state map split blue and red visually dramatizing the partisan battle for the state |
| Tactic | The ad uses an anti-Trump urgency frame combined with a voter registration hook and direct donate CTA to convert progressive outrage into small-dollar fundraising. |
Where it ran (delivery by region)
| California | 14.2% |
| Florida | 14.1% |
| New York | 7.3% |
| Texas | 4.0% |
| Washington | 3.6% |
| Pennsylvania | 3.6% |
| Illinois | 3.3% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 55-64 · female | 8.4% |
| 45-54 · unknown | 0.1% |
| 18-24 · unknown | 0.0% |
| 35-44 · male | 1.5% |
| 18-24 · female | 0.2% |
| 65+ · unknown | 0.8% |
| 65+ · female | 34.1% |
| 65+ · male | 33.8% |
| 18-24 · male | 0.3% |
| 45-54 · male | 3.8% |
| 55-64 · male | 12.5% |
| 25-34 · male | 0.9% |
| 45-54 · female | 2.0% |
| 35-44 · female | 0.7% |
| 55-64 · unknown | 0.2% |
| 25-34 · female | 0.5% |
| 25-34 · unknown | 0.0% |
