Jennifer Jenkins For Florida US Inactive
Jennifer Jenkins For Florida
JUST ASKING FOR $5 >>
Humbly asking you...
Ad copy
My name is Jennifer Jenkins, and I’m asking you for a donation. $1 to join my fight against MAGA extremism. $2 to take on Donald Trump’s agenda. $3 to help Democrats win the Senate majority. Every dollar counts — chip in today >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 44.6/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 59.2 · 30.6 · 50.5 |
| Spend range | USD 1,500–1,999 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 99.97 |
| Est. audience size | 5,001 – 10,000 |
| Days live | 112 (2025-09-24 → 2026-01-14) |
| Created | 2025-09-24 |
| 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 | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Teal 'DONATE $5 NOW' button overlaid on candidate's face with 'against us.' subtitle creating an urgent confrontational frame |
| Tactic | Classic low-dollar fundraising ladder tactic — offering micro-donation tiers ($1/$2/$3) to lower the psychological barrier to entry while anchoring on an enemy (MAGA/Trump) to drive emotional urgency. |
Where it ran (delivery by region)
| Florida | 79.9% |
| California | 2.6% |
| New York | 1.8% |
| Texas | 1.1% |
| North Carolina | 0.9% |
| Pennsylvania | 0.8% |
| Georgia | 0.8% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 2.9% |
| 65+ · male | 29.0% |
| 65+ · female | 37.0% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.5% |
| 55-64 · female | 11.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.7% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.2% |
| 35-44 · female | 2.8% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.1% |
| 25-34 · female | 1.1% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.9% |
