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Graham Platner US Inactive

GRAHAM FOR MAINE

ad creative

Important Message from Elizabeth Warren

If you’re ready to defeat Susan Collins, then chip in right now to Graham Platner's campaign.

Ad copy

It’s Elizabeth Warren. I just endorsed Graham Platner in Maine’s important U.S. Senate race — and I know he can win and defeat Susan Collins this November. Let me tell you why. Graham is a fighter for working people. In the Senate, he’ll stand up to Donald Trump and his billionaire buddies, push for big, structural change, and be the leader that Maine needs. Democrats need to flip just four seats to take back our majority in the Senate, and this election in Maine will be consequential. If you’re ready to flip this seat and defeat Susan Collins, please chip in to support Graham Platner’s campaign today.

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

Performance proxies

Overall score60.0/100
Spend / Reach / Long. / Eff.77.1 · 100.0 · 9.1 · 53.7
Spend rangeUSD 60,000–69,999
Impressions1,000,000 – 0
CPM (≈ $/1k impr)USD 65.0
Est. audience size
Days live34 (2026-03-19 → 2026-04-22)
Created2026-03-19
Creative variants1 body · 1 headline
Platformsfacebook, instagram
Languagesen
CandidateME — Graham Platner
Surfaced by“senate:Graham Platner”

🧠 AI analysis

Issuejobs labor
Framingpositive candidate
Message typefundraising
Emotional appealhope
Production tierdiy amateur
Who picturedcandidate, workers labor
Symbolsnone
Call to actiondonate
Standout elementElizabeth Warren in signature bright green blazer delivering a personal endorsement video alongside the candidate in a casual home setting
TacticThe ad leverages Elizabeth Warren's high-profile endorsement as borrowed credibility to energize the progressive base and drive small-dollar donations against incumbent Susan Collins.

Where it ran (delivery by region)

California12.1%
Maine11.5%
Massachusetts8.6%
New York7.8%
Florida5.7%
Texas3.5%
Washington3.4%

Who saw it (delivery)

18-24 · female 0.7%
45-54 · unknown 0.2%
Unknown · male 0.0%
Unknown · female 0.0%
65+ · unknown 0.6%
65+ · male 15.7%
65+ · female 29.4%
55-64 · unknown 0.3%
55-64 · male 8.2%
55-64 · female 11.8%
45-54 · male 5.7%
18-24 · male 1.9%
45-54 · female 5.8%
35-44 · unknown 0.2%
35-44 · male 6.5%
35-44 · female 4.7%
25-34 · unknown 0.2%
25-34 · male 5.3%
25-34 · female 3.0%
18-24 · unknown 0.1%
Unknown · unknown 0.0%

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