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Peggy Flanagan US Inactive

Peggy Flanagan for Minnesota

ad creative

Peggy Flanagan for Senate

Peggy Flanagan for Senate

Peggy Flanagan for Senate

Make a donation to Peggy Flanagan’s campaign for U.S. Senate.

Make a donation to Peggy Flanagan’s campaign for U.S. Senate.

Make a donation to Peggy Flanagan’s campaign for U.S. Senate.

Ad copy

We are humbly asking you to support Peggy Flanagan’s campaign for the U.S. Senate in MN. 99% of people won’t donate. We’re counting on the other 1% to help us change Washington. Please, donate now. Chi miigwech (big thank you)!
We are humbly asking you to support Peggy Flanagan’s campaign for the U.S. Senate in MN. 99% of people won’t donate. We’re counting on the other 1% to help us change Washington. Please, donate now. Chi miigwech (big thank you)!
We are humbly asking you to support Peggy Flanagan’s campaign for the U.S. Senate in MN. 99% of people won’t donate. We’re counting on the other 1% to help us change Washington. Please, donate now. Chi miigwech (big thank you)!

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Performance proxies

Overall score33.7/100
Spend / Reach / Long. / Eff.11.9 · 55.8 · 0.8 · 66.3
Spend rangeUSD 100–199
Impressions10,000 – 14,999
CPM (≈ $/1k impr)USD 11.96
Est. audience size
Days live4 (2025-03-27 → 2025-03-31)
Created2025-03-27
Creative variants3 body · 3 headline
Platformsfacebook, instagram
Languagesen
CandidateMN — Peggy Flanagan
Surfaced by“senate:Peggy Flanagan”

🧠 AI analysis

Issueother
Framingpositive candidate
Message typefundraising
Emotional appealurgency
Production tiersemi pro
Who picturednone
Symbolsnone
Call to actiondonate
Standout elementOjibwe 'Chi miigwech' closing to signal Indigenous identity and cultural authenticity
TacticUses the classic '99% won't donate' social proof scarcity tactic to pressure the rare motivated donor into acting, combined with humble cultural framing to lower resistance.

Where it ran (delivery by region)

Minnesota38.3%
Wisconsin8.9%
Michigan5.2%
Washington5.1%
Iowa3.8%
Illinois3.7%
Oregon3.0%

Who saw it (delivery)

18-24 · female 0.2%
45-54 · male 1.7%
65+ · male 23.9%
65+ · female 47.1%
55-64 · unknown 0.3%
55-64 · male 5.0%
55-64 · female 11.1%
45-54 · unknown 0.1%
45-54 · female 3.8%
18-24 · male 0.4%
35-44 · unknown 0.1%
35-44 · male 1.4%
35-44 · female 2.4%
25-34 · unknown 0.1%
25-34 · male 0.7%
25-34 · female 0.8%
65+ · unknown 0.8%

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