Jennifer Jenkins For Florida US Inactive
Jennifer Jenkins For Florida
MAGA burned my lawn…
Ad copy
Right-wing extremists burned ‘FU’ into my lawn. Why? Because I spoke out and stood up for teachers and students on my local school board. They wanted to scare me into silence. But I didn’t back down then, and I won’t now that I’m running for U.S. Senate. We can flip this seat and the Senate blue – but only if we have the resources to compete. Will you chip in $10 or anything you can today and help us win this race?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 30.1/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 39.6 · 12.7 · 50.5 |
| Spend range | USD 200–299 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 99.82 |
| Est. audience size | 5,001 – 10,000 |
| Days live | 47 (2025-12-16 → 2026-02-01) |
| Created | 2025-12-16 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | FL — Jennifer Jenkins |
| Surfaced by | “senate:Jennifer Jenkins” |
🧠 AI analysis
| Issue | education |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate speaking directly to camera in a suburban front yard — evoking the very lawn that was vandalized — turning vulnerability into defiant authenticity |
| Tactic | Uses a visceral personal-threat story (lawn burning) to transform fear into righteous indignation, then pivots immediately to a fundraising ask, making the donor feel like they are helping the candidate fight back against extremism. |
Where it ran (delivery by region)
| Florida | 84.3% |
| California | 1.6% |
| New York | 1.4% |
| Texas | 1.2% |
| North Carolina | 0.9% |
| Michigan | 0.8% |
| Washington | 0.7% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 18-24 · male | 0.1% |
| 25-34 · female | 1.2% |
| 25-34 · male | 1.3% |
| 25-34 · unknown | 0.1% |
| 35-44 · female | 2.9% |
| 35-44 · male | 1.1% |
| 45-54 · female | 5.1% |
| 45-54 · male | 4.2% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 10.1% |
| 55-64 · male | 8.6% |
| 65+ · female | 35.2% |
| 65+ · male | 28.5% |
| 65+ · unknown | 1.3% |
