HECTOR MUJICA FOR CONGRESS
Can you chip in right now?
The latest numbers are in, and the message is clear: We have Carlos Giménez on the ropes. A new poll shows me just 6 points behind the incumbent, and we are already leading among Independent voters by 5 points. I entered this fight because I refuse to accept the politics of abandonment. I’ve seen the American Dream slipping away from South Florida families while career politicians like Carlos Giménez focus on political theater in Washington. This isn't just a campaign; it’s a recalibration toward victory. We have the grassroots energy and the right vision, but the GOP machine is preparing to pour millions into protecting Giménez. Will you chip in $28 right now to help me reach the voters we need to flip FL-28?
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 19.8/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 24.3 · 3.6 · 51.2 |
| Spend range | <USD 99 |
| Impressions | 100 – 999 |
| CPM (≈ $/1k impr) | USD 90.08 |
| Est. audience size | 100 – 1,000 |
| Days live | 14 (2026-05-05 → 2026-05-19) |
| Created | 2026-05-05 |
| 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 | Split-screen candidate vs. opponent photo on contrasting blue and red backgrounds with poll-momentum headline |
| Tactic | The ad leverages a close-poll narrative and underdog momentum framing to create urgency and drive small-dollar donations before the GOP machine can respond. |
| Florida | 74.4% |
| California | 5.6% |
| Pennsylvania | 2.4% |
| New York | 2.4% |
| Michigan | 1.6% |
| Hawaii | 1.6% |
| Washington | 1.6% |
| 25-34 · male | 1.6% |
| 35-44 · male | 2.4% |
| 45-54 · female | 3.2% |
| 45-54 · male | 4.0% |
| 55-64 · female | 8.0% |
| 55-64 · male | 8.0% |
| 65+ · female | 35.2% |
| 65+ · male | 37.6% |