Alan Grayson US Inactive
COMMITTEE TO ELECT ALAN GRAYSON
Vote TODAY! Find my polling place >>
Bill Cowles, Orange County Supervisor of Elections Street Address: 119 West Kaley Street, Orlando, FL 32806 Mailing Address: P.O. BOX 562001, Orlando, FL 32856-2001 Office: 407-836-2070 • Fax: 407-254-6596
Ad copy
TODAY is Election Day! Go vote for Alan Grayson at your designated polling place—click the "Learn more" button below to find it. Getting good things done is what Congress is for! Vote Alan Grayson for Congress.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.7/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 63.8 · 0.0 · 56.4 |
| Spend range | USD 1,000–1,499 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 45.44 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 1 (2022-08-22 → 2022-08-23) |
| Created | 2022-08-21 |
| 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 | positive candidate |
| Message type | gotv mobilization |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | vote |
| Standout element | Actual sample ballot with Grayson's name circled and a red arrow pointing to it, simulating the voter's action |
| Tactic | The ad uses a literal ballot mockup with a red arrow to make voting for Grayson feel simple and concrete, reducing friction and reinforcing the single Election Day action needed. |
Where it ran (delivery by region)
| Florida | 89.0% |
| New York | 1.2% |
| California | 1.0% |
| Texas | 0.9% |
| Georgia | 0.8% |
| North Carolina | 0.7% |
| Pennsylvania | 0.4% |
Who saw it (delivery)
| 13-17 · female | 0.0% |
| 25-34 · male | 12.5% |
| 55-64 · unknown | 0.1% |
| 35-44 · unknown | 0.2% |
| 55-64 · male | 3.7% |
| 25-34 · unknown | 0.3% |
| 65+ · female | 4.6% |
| 35-44 · male | 10.1% |
| 55-64 · female | 5.8% |
| 45-54 · male | 6.5% |
| 65+ · unknown | 0.1% |
| 25-34 · female | 20.1% |
| 18-24 · female | 4.9% |
| 45-54 · female | 10.7% |
| 35-44 · female | 15.3% |
| 65+ · male | 2.2% |
| 18-24 · male | 2.7% |
| 45-54 · unknown | 0.1% |
| 13-17 · male | 0.0% |
| 18-24 · unknown | 0.1% |
