Hector Mujica US Inactive
Hector Mujica for Florida
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Together, we can flip Florida BLUE.
Ad copy
Florida doesn’t need another symbolic campaign. It needs a campaign that can win. Early polling shows that we’re TIED with Ashley Moody – our unelected MAGA Senator – a clear sign that a coalition-first campaign like ours can win statewide in Florida. Now, we have a narrow window to build the campaign that can finish the job. The final days of this quarter will decide whether we have the resources to flip Florida blue. Can you chip in $5 right now to help us prove this campaign is for real?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 18.9/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 24.3 · 0.0 · 51.2 |
| Spend range | <USD 99 |
| Impressions | 100 – 999 |
| CPM (≈ $/1k impr) | USD 90.08 |
| Est. audience size | — |
| Days live | 1 (2025-12-23 → 2025-12-24) |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold white-on-navy 'HELP US HIT OUR GOAL' headline over a Florida state map silhouette with a rising sun burst |
| Tactic | The ad leverages a tied-poll credibility hook to convert skeptics into donors by framing the campaign as viable rather than symbolic, creating urgency around an end-of-quarter deadline. |
Where it ran (delivery by region)
| Florida | 100.0% |
Who saw it (delivery)
| 18-24 · female | 1.0% |
| 18-24 · male | 1.0% |
| 25-34 · female | 2.9% |
| 25-34 · male | 2.9% |
| 25-34 · unknown | 1.0% |
| 35-44 · female | 1.0% |
| 35-44 · male | 6.7% |
| 45-54 · female | 1.0% |
| 45-54 · male | 6.7% |
| 55-64 · female | 5.7% |
| 55-64 · male | 11.4% |
| 65+ · female | 36.2% |
| 65+ · male | 21.9% |
| 65+ · unknown | 1.0% |
