Alexander Vindman US Inactive
Alex Vindman for Florida
Donate to Alex Vindman for U.S. Senate
Become a donor to Alex Vindman's campaign for Senate today.
Ad copy
A new poll was just released showing Alex “effectively tied” against career politician Ashley Moody – 43 to 42. So we’re here with an urgent request: Can you please make your first contribution so we can elect Alex as Florida’s next U.S. Senator?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.9/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 63.8 · 0.6 · 56.4 |
| Spend range | USD 1,000–1,499 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 45.44 |
| Est. audience size | — |
| Days live | 3 (2026-04-29 → 2026-05-02) |
| Created | 2026-04-29 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | FL — Alexander Vindman |
| Surfaced by | “senate:Alexander Vindman” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold 'BREAKING' news-style headline framing a poll graphic to manufacture urgency and viability |
| Tactic | Classic close-race fundraising tactic using a near-tie poll to signal viability and trigger urgency-driven small-dollar donations via ActBlue. |
Where it ran (delivery by region)
| Florida | 61.3% |
| California | 6.2% |
| New York | 3.9% |
| Massachusetts | 1.9% |
| New Jersey | 1.8% |
| Texas | 1.6% |
| Pennsylvania | 1.5% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 4.1% |
| 65+ · male | 24.4% |
| 65+ · female | 38.5% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 9.7% |
| 55-64 · female | 11.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.3% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.1% |
| 35-44 · female | 2.1% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.2% |
| 25-34 · female | 1.0% |
| 65+ · unknown | 0.8% |
