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 Congress. We can flip this seat and the House 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 | 32.8/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 47.5 · 8.8 · 53.9 |
| Spend range | USD 300–399 |
| Impressions | 5,000 – 5,999 |
| CPM (≈ $/1k impr) | USD 63.55 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 33 (2026-02-06 → 2026-03-11) |
| Created | 2026-02-06 |
| 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 | fear |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate's direct, unflinching eye contact paired with hot-pink top projecting defiance against intimidation |
| Tactic | The ad uses a personal victimization-turned-resilience narrative — lawn-burning as visceral evidence of extremism — to convert outrage into donation urgency. |
Where it ran (delivery by region)
| Florida | 85.3% |
| California | 2.5% |
| New York | 1.2% |
| Texas | 1.0% |
| New Jersey | 0.6% |
| Colorado | 0.6% |
| Georgia | 0.6% |
Who saw it (delivery)
| 18-24 · female | 0.4% |
| 45-54 · male | 9.4% |
| 65+ · male | 14.3% |
| 65+ · female | 14.9% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 12.7% |
| 55-64 · female | 12.7% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 10.6% |
| 18-24 · male | 0.8% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 7.3% |
| 35-44 · female | 9.6% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 3.3% |
| 25-34 · female | 3.0% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.3% |
