Alan Grayson US Inactive
COMMITTEE TO ELECT ALAN GRAYSON
Let's beat Marco Rubio >>
Ad copy
Alan Grayson has years of experience in the U.S. Congress, and will fight for working people in the Senate when he beats Marco Rubio in 2022. 🩺 Medicare for All 🙋♀️ Women's Right to Choose 🌫 Tax Pollution 🎓 Free Public College Are you with us? Donate now to show your support.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 39.1/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 61.7 · 5.0 · 54.9 |
| Spend range | USD 1,000–1,499 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 55.53 |
| Est. audience size | — |
| Days live | 19 (2022-05-25 → 2022-06-13) |
| Created | 2022-05-25 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | FL — Alan Grayson |
| Surfaced by | “senate:Alan Grayson” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent, candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Menacing desaturated close-up of Rubio overlaid with blood-red 'CORRUPT' text against a darkened Florida map silhouette |
| Tactic | The ad pairs a positive issue-platform list with a visceral attack video thumbnail to simultaneously mobilize the progressive base and solicit donations by framing Rubio as corrupt and beatable. |
Where it ran (delivery by region)
| California | 16.5% |
| Florida | 10.1% |
| New York | 6.8% |
| Texas | 5.3% |
| Washington | 4.2% |
| Illinois | 3.4% |
| Pennsylvania | 3.4% |
Who saw it (delivery)
| 13-17 · male | 0.0% |
| 55-64 · unknown | 0.4% |
| 18-24 · female | 0.6% |
| 65+ · unknown | 0.7% |
| 25-34 · male | 2.4% |
| 45-54 · female | 4.6% |
| 18-24 · male | 0.8% |
| 55-64 · female | 11.6% |
| 45-54 · male | 5.9% |
| 65+ · female | 26.3% |
| 13-17 · female | 0.0% |
| 55-64 · male | 12.1% |
| 65+ · male | 25.4% |
| 35-44 · male | 3.4% |
| 25-34 · female | 1.9% |
| 35-44 · female | 3.2% |
| 18-24 · unknown | 0.1% |
| 45-54 · unknown | 0.2% |
| 25-34 · unknown | 0.1% |
| 35-44 · unknown | 0.2% |
