Jennifer Jenkins For Florida US Inactive
Jennifer Jenkins For Florida
Chip in $5 to Elect Jennifer →
Ad copy
I'm Jennifer Jenkins, and I'm running for Congress to defeat Congressman Randy Fine. I'm asking you to be a Founding Donor of this campaign. If you're with me, please chip in a donation of $5, $10, or whatever you can right now to my campaign to help us hit our launch goal and send a message that this seat is in play >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 28.6/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 39.6 · 8.8 · 54.3 |
| Spend range | USD 100–199 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 59.81 |
| 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 | other |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate speaking directly to camera in casual home setting wearing bright pink top, creating an intimate low-production personal appeal |
| Tactic | Classic direct-to-camera Founding Donor ask leverages personal authenticity and urgency of a launch moment to lower the psychological barrier to a small first donation. |
Where it ran (delivery by region)
| Florida | 88.2% |
| California | 2.4% |
| New York | 0.8% |
| Massachusetts | 0.8% |
| Virginia | 0.7% |
| Texas | 0.5% |
| Georgia | 0.5% |
Who saw it (delivery)
| 18-24 · female | 0.8% |
| 45-54 · male | 9.2% |
| 65+ · male | 15.5% |
| 65+ · female | 12.7% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 12.9% |
| 55-64 · female | 13.2% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 9.6% |
| 18-24 · male | 1.5% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 6.6% |
| 35-44 · female | 9.6% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 3.9% |
| 25-34 · female | 3.0% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.3% |
