Jennifer Jenkins For Florida US Inactive
Jennifer Jenkins For Florida
DEFEAT MAGA EXTREMISM >>
Please, don't ignore this...
Ad copy
I'm Jennifer Jenkins, running for Senate in Florida. Here's the topline: - I just launched my candidacy for Senate against Ashley Moody - I need YOUR grassroots support to flip this seat blue Will you donate $5 right now and join the team?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 37.4/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 53.0 · 18.7 · 60.5 |
| Spend range | USD 200–299 |
| Impressions | 9,000 – 9,999 |
| CPM (≈ $/1k impr) | USD 26.26 |
| Est. audience size | 100 – 1,000 |
| Days live | 69 (2025-09-25 → 2025-12-03) |
| Created | 2025-09-25 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | FL — Jennifer Jenkins |
| Surfaced by | “senate:Jennifer Jenkins” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold 'STOP SCROLLING' command in oversized white text against black background paired with candidate's confident direct gaze |
| Tactic | The ad uses self-aware populist frustration — positioning Jenkins as a uniquely tough Democrat who will actually fight MAGA — to differentiate herself from the field and drive urgency around a $5 grassroots donation ask. |
Where it ran (delivery by region)
| Florida | 72.3% |
| California | 3.3% |
| New York | 1.9% |
| Texas | 1.6% |
| Illinois | 1.2% |
| Pennsylvania | 1.2% |
| Washington | 1.1% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 5.0% |
| 65+ · male | 32.8% |
| 65+ · female | 26.6% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 11.1% |
| 55-64 · female | 9.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.7% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 2.7% |
| 35-44 · female | 3.6% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.0% |
| 25-34 · female | 0.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.8% |
