📌 The Swipe File

Jennifer Jenkins For Florida US Inactive

JENNIFER JENKINS FOR U.S. CONGRESS

Will you add your name?

Ad copy

𝗥𝗮𝗻𝗱𝘆 𝗙𝗶𝗻𝗲 𝗵𝗮𝘀 𝘀𝗽𝗲𝗻𝘁 𝘆𝗲𝗮𝗿𝘀 𝘀𝗽𝗲𝘄𝗶𝗻𝗴 𝗵𝗮𝘁𝗲: attacking entire faiths, calling for violence, targeting kids and families, and dehumanizing Americans. He’s only escalated since. Just recently, Randy Fine has been on a social media rampage, saying that he would choose dogs over Muslims. 𝗖𝗼𝗻𝗴𝗿𝗲𝘀𝘀 𝗺𝘂𝘀𝘁 𝗮𝗰𝘁 𝗻𝗼𝘄 𝗮𝗻𝗱 𝗲𝘅𝗽𝗲𝗹 𝗥𝗮𝗻𝗱𝘆 𝗙𝗶𝗻𝗲 𝗶𝗺𝗺𝗲𝗱𝗶𝗮𝘁𝗲𝗹𝘆. But we know that the GOP is not going to stand up to Randy Fine. They’re desperate to hold on to their shrinking majority, and he is a guaranteed vote for Trump’s extremist MAGA agenda. So, we need to step in. 𝗧𝗵𝗮𝘁’𝘀 𝘄𝗵𝘆 𝘄𝗲’𝗿𝗲 𝗹𝗮𝘂𝗻𝗰𝗵𝗶𝗻𝗴 𝗮𝗻 𝗲𝗺𝗲𝗿𝗴𝗲𝗻𝗰𝘆 𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻 𝘁𝗼 𝗱𝗲𝗺𝗮𝗻𝗱 𝘁𝗵𝗮𝘁 𝗖𝗼𝗻𝗴𝗿𝗲𝘀𝘀 𝗲𝘅𝗽𝗲𝗹 𝗙𝗶𝗻𝗲 𝗳𝗿𝗼𝗺 𝗖𝗼𝗻𝗴𝗿𝗲𝘀𝘀. 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲 𝗿𝗲𝗮𝗱𝘆 𝘁𝗼 𝘀𝗲𝗲 𝗙𝗶𝗻𝗲 𝗸𝗶𝗰𝗸𝗲𝗱 𝗼𝘂𝘁 𝗼𝗳 𝗪𝗮𝘀𝗵𝗶𝗻𝗴𝘁𝗼𝗻, 𝘀𝗶𝗴𝗻 𝗼𝗻 𝗻𝗼𝘄 >>

↗ View in Meta Ad Library (the live creative — image/video/layout)

Performance proxies

Overall score	34.9/100
Spend / Reach / Long. / Eff.	21.0 · 53.0 · 7.7 · 57.9
Spend range	USD 300–399
Impressions	9,000 – 9,999
CPM (≈ $/1k impr)	USD 36.79
Est. audience size	—
Days live	29 (2026-03-18 → 2026-04-16)
Created	2026-03-18
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	attack opponent
Message type	list building survey
Emotional appeal	anger
Production tier	semi pro
Who pictured	opponent
Symbols	none
Call to action	sign petition
Standout element	Bold red 3D 'EXPEL RANDY FINE' text looming over a desaturated, unflattering close-up photo of the opponent paired with a screenshot of his inflammatory tweet
Tactic	The ad weaponizes the opponent's own social media post as damning evidence, combining visceral attack imagery with a petition CTA to convert outrage into list-building signups.

Where it ran (delivery by region)

Florida	86.6%
California	1.6%
New York	1.0%
Texas	0.9%
Pennsylvania	0.7%
Massachusetts	0.6%
North Carolina	0.6%

Who saw it (delivery)

18-24 · female	0.1%
45-54 · male	4.2%
65+ · male	25.2%
65+ · female	33.9%
55-64 · unknown	0.3%
55-64 · male	9.4%
55-64 · female	12.3%
45-54 · unknown	0.2%
45-54 · female	5.7%
18-24 · male	0.3%
35-44 · unknown	0.1%
35-44 · male	2.5%
35-44 · female	2.7%
25-34 · unknown	0.1%
25-34 · male	1.2%
25-34 · female	1.0%
18-24 · unknown	0.0%
65+ · unknown	0.8%