Hector Mujica US Inactive
Hector Mujica for Florida
All eyes on Florida
Together, we can flip Florida BLUE.
Ad copy
Florida is a must-win in next year's election. We have a real chance to unseat Ron DeSantis’ handpicked Senator, Ashley Moody, in the Florida special Senate election. Democrats across the country are overperforming – from Miami to Tennessee – proving that voters are ready for change. With momentum on our side, Florida can be one of the seats that helps flip the U.S. Senate next year, alongside North Carolina, Georgia, and Kentucky. Pitch in $5 right now so we can win this race and take back the majority.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 19.0/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 24.3 · 0.6 · 51.2 |
| Spend range | <USD 99 |
| Impressions | 100 – 999 |
| CPM (≈ $/1k impr) | USD 90.08 |
| Est. audience size | — |
| Days live | 3 (2025-12-23 → 2025-12-26) |
| Created | 2025-12-23 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | FL — Hector Mujica |
| Surfaced by | “senate:Hector Mujica” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | issue advocacy |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | capitol statue, us flag |
| Call to action | donate |
| Standout element | 47-53 Senate seat tracker bar with state silhouettes surrounding the Capitol dome |
| Tactic | The ad uses a scoreboard-style seat tracker to create urgency and FOMO, framing a $5 donation as a direct lever to flip the Senate majority. |
Where it ran (delivery by region)
| Florida | 79.6% |
| California | 2.1% |
| New York | 1.9% |
| Tennessee | 1.4% |
| Oregon | 1.4% |
| North Carolina | 1.4% |
| Texas | 1.2% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 18-24 · male | 0.5% |
| 25-34 · female | 0.9% |
| 25-34 · male | 2.2% |
| 35-44 · female | 0.5% |
| 35-44 · male | 3.1% |
| 35-44 · unknown | 0.2% |
| 45-54 · female | 2.4% |
| 45-54 · male | 4.4% |
| 45-54 · unknown | 0.2% |
| 55-64 · female | 9.2% |
| 55-64 · male | 11.1% |
| 65+ · female | 36.2% |
| 65+ · male | 28.1% |
| 65+ · unknown | 0.9% |
