Hector Mujica for Florida
Together, we can flip Florida BLUE.
FLORIDA IS ON THE MAP IN 2026: Polling shows that when Hector Mujica goes up against DeSantis-appointed, unelected Senator Ashley Moody, they TIE. Considering Hector just launched his campaign, this is staggering news. The GOP is counting on all of us to think of Florida as a Republican stronghold, but we have a real shot at securing a Democratic Senate seat. This is shaping up to be one of the most impactful and most expensive races in 2026. They’ll pull out all the stops to prevent Hector from turning that tie into a win—but we have what it takes to make a difference. We have you. We’ll win this race if all of us work together. Will you send a parting message to the GOP by becoming a founding donor to our campaign today? Thank you.
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| Overall score | 19.1/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 24.3 · 0.8 · 51.2 |
| Spend range | <USD 99 |
| Impressions | 100 – 999 |
| CPM (≈ $/1k impr) | USD 90.08 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 4 (2025-10-15 → 2025-10-19) |
| Created | 2025-10-14 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | FL — Hector Mujica |
| Surfaced by | “senate:Hector Mujica” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate shown in full color beside a desaturated grayscale opponent, visually elevating Mujica while neutralizing Moody |
| Tactic | Uses a poll-based 'we can win' urgency tactic — leading with electability data to convert skeptical donors who want to back a competitive race rather than a longshot. |
| Florida | 56.5% |
| California | 6.9% |
| New York | 3.4% |
| Massachusetts | 3.4% |
| Pennsylvania | 3.0% |
| North Carolina | 3.0% |
| Washington | 2.2% |
| 25-34 · female | 0.9% |
| 25-34 · male | 1.7% |
| 35-44 · male | 1.3% |
| 45-54 · female | 0.9% |
| 45-54 · male | 1.3% |
| 55-64 · female | 1.7% |
| 55-64 · male | 8.6% |
| 65+ · female | 44.0% |
| 65+ · male | 39.2% |
| 65+ · unknown | 0.4% |