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Peggy Flanagan US Inactive

Peggy Flanagan for Minnesota

ad creative

Donate to Peggy Flanagan for U.S. Senate

Show your support with a contribution.

Ad copy

Chip in $5 to help keep Minnesota’s Senate seat blue. Republicans' top recruit just entered this race. Michele Tafoya is backed by national Republicans and MAGA donors who are ready to spend big to flip this seat. I’m not intimidated. But I don’t take corporate PAC money, so the only way we win is with grassroots support from people like you. This is one of the most closely watched Senate races in the country. Republicans know it. Special interests know it. And they’re preparing to spend millions to stop us. If you can, pitch in $5, $10, or whatever you’re able to help us show real strength and keep Minnesota blue.

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

Performance proxies

Overall score54.9/100
Spend / Reach / Long. / Eff.50.6 · 87.0 · 19.6 · 62.5
Spend rangeUSD 5,000–5,999
Impressions250,000 – 299,999
CPM (≈ $/1k impr)USD 20.0
Est. audience size
Days live72 (2026-02-18 → 2026-05-01)
Created2026-02-18
Creative variants1 body · 1 headline
Platformsfacebook, instagram
Languagesen
CandidateMN — Peggy Flanagan
Surfaced by“senate:Peggy Flanagan”

🧠 AI analysis

Issuedemocracy elections
Framingcontrast comparison
Message typefundraising
Emotional appealurgency
Production tiersemi pro
Who picturedcandidate, opponent
Symbolsnone
Call to actiondonate
Standout elementside-by-side polling graphic with Flanagan in color and Tafoya in desaturated black-and-white, reinforcing contrast between the two candidates
TacticThe ad deploys a classic polling-urgency fundraising tactic — showing a tight race with a 3-point lead to create fear of loss and motivate small-dollar donors to act immediately via the prominent 'Donate Now' CTA.

Where it ran (delivery by region)

Minnesota77.2%
California3.0%
Wisconsin2.0%
Florida1.6%
New York1.1%
Illinois1.0%
Washington1.0%

Who saw it (delivery)

18-24 · female 0.6%
45-54 · male 6.9%
65+ · unknown 0.5%
65+ · male 14.6%
65+ · female 20.1%
55-64 · unknown 0.2%
55-64 · male 7.8%
55-64 · female 10.9%
45-54 · unknown 0.3%
45-54 · female 10.9%
18-24 · male 0.6%
35-44 · unknown 0.4%
35-44 · male 6.8%
35-44 · female 10.8%
25-34 · unknown 0.3%
25-34 · male 3.6%
25-34 · female 4.7%
18-24 · unknown 0.0%
Unknown · female 0.0%

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