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Peggy Flanagan US Inactive

Peggy Flanagan for Minnesota

ad creative

Donate to Peggy Flanagan for U.S. Senate

Ad copy

Peggy was just endorsed by Senators Elizabeth Warren, Ed Markey, Chris Murphy, Chris Van Hollen, Jeff Merkley, and Martin Heinrich! Democrats across the country are joining Team Peggy because they know she has what it takes to fight, and make a real difference for the people of Minnesota. They’re tired of hand-picked candidates by extremist billionaires. They’re ready for someone with real vision. Endorsements like these are great — they show just how strong and deep this movement is. But they don’t pay the bills. We’re hiring staff, running ads, and traveling across the state to connect with voters — and all of that takes significant resources. Peggy is powered by grassroots supporters like you. Pitch in today to continue growing this grassroots team?

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

Performance proxies

Overall score35.0/100
Spend / Reach / Long. / Eff.27.6 · 55.8 · 1.1 · 55.4
Spend rangeUSD 600–699
Impressions10,000 – 14,999
CPM (≈ $/1k impr)USD 51.96
Est. audience size
Days live5 (2025-11-20 → 2025-11-25)
Created2025-11-20
Creative variants1 body · 1 headline
Platformsfacebook, instagram
Languagesen
CandidateMN — Peggy Flanagan
Surfaced by“senate:Peggy Flanagan”

🧠 AI analysis

Issuecandidate character bio
Framingpositive candidate
Message typefundraising
Emotional appealhope
Production tierdiy amateur
Who picturedveterans military
Symbolsnone
Call to actiondonate
Standout elementCasual selfie-style video from endorsing Senator Martin Heinrich in a flannel shirt, lending an authentic peer-to-peer credibility feel
TacticLeverages high-profile Senate endorsements to build social proof and urgency, then pivots directly to a donation ask to convert enthusiasm into financial support.

Where it ran (delivery by region)

Minnesota71.6%
California4.2%
Wisconsin2.0%
New York1.8%
Florida1.4%
Washington1.2%
Texas1.1%

Who saw it (delivery)

18-24 · female 0.4%
45-54 · male 4.9%
65+ · male 24.0%
65+ · female 32.2%
55-64 · unknown 0.2%
55-64 · male 8.1%
55-64 · female 10.8%
45-54 · unknown 0.2%
45-54 · female 5.9%
18-24 · male 1.0%
35-44 · unknown 0.3%
35-44 · male 3.4%
35-44 · female 3.5%
25-34 · unknown 0.2%
25-34 · male 2.5%
25-34 · female 1.6%
18-24 · unknown 0.0%
65+ · unknown 0.7%

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