Alex Vindman for Florida
Become a donor to Alex Vindman's campaign for Senate today.
Emerson College just released new polling on Florida’s Senate race, and as someone who cares, there are new numbers you need to see: 46%. Ashley Moody still has less than 50% of the vote. The rule of thumb is that when less than half of voters say they'll vote for the incumbent, they are vulnerable. Ashley Moody is vulnerable. 16%. That is the number of Floridians who are undecided in our race. If we can get these persuadable voters to cast their ballot for Alex — which we can with his background of service and message that talks about the needs of Floridians — we can win $5. The last number. Maybe the most important one today. That is the donation Alex Vindman is asking you to make to his campaign for Senate in Florida. If we have the early money to define Alex and Ashley Moody, we can win this race. But Alex can't do it alone.
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| Overall score | 34.5/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 55.8 · 0.3 · 58.1 |
| Spend range | USD 400–499 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 35.96 |
| Est. audience size | — |
| Days live | 2 (2026-04-02 → 2026-04-04) |
| Created | 2026-04-02 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | FL — Alexander Vindman |
| Surfaced by | “senate:Alexander Vindman” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold black text overlays presenting three specific numbers (46%, 16%, $5) as a data-driven urgency sequence over a casual candidate video frame |
| Tactic | Electability argument tactic — uses real polling data to reframe the race as winnable, lowering donor skepticism and triggering urgency to give $5 before early money defines the race. |
| Florida | 53.7% |
| California | 6.7% |
| Texas | 3.2% |
| New York | 2.8% |
| Washington | 2.1% |
| Illinois | 2.0% |
| Pennsylvania | 1.9% |
| 18-24 · female | 0.0% |
| 45-54 · male | 2.1% |
| 65+ · male | 24.8% |
| 65+ · female | 51.4% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 6.2% |
| 55-64 · female | 8.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.2% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 1.2% |
| 35-44 · female | 1.1% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.5% |
| 25-34 · female | 0.6% |
| 65+ · unknown | 1.1% |