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Graham Platner US Inactive

GRAHAM FOR MAINE

ad creative

What is happening in Gaza is a genocide

I’m not taking money from AIPAC or corporations, so any amount you can afford to give goes a long way.

Ad copy

My name is Graham Platner. I’m the Marine Corps veteran and oyster farmer running for Senate here in Maine against Susan Collins. My opponent has already been endorsed by AIPAC — an endorsement I will never get. Because what is happening right now in Gaza is a genocide. I need your help because we refuse to take money from AIPAC, and we refuse to take money from the billionaires who support it. So please, will you make a monthly donation now to my campaign to help me defeat Susan Collins, turn Maine blue, and take back the Senate for Democrats?

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

Performance proxies

Overall score60.5/100
Spend / Reach / Long. / Eff.72.5 · 100.0 · 12.4 · 56.9
Spend rangeUSD 40,000–44,999
Impressions1,000,000 – 0
CPM (≈ $/1k impr)USD 42.5
Est. audience size
Days live46 (2025-08-27 → 2025-10-12)
Created2025-08-27
Creative variants1 body · 1 headline
Platformsfacebook, instagram
Languagesen
CandidateME — Graham Platner
Surfaced by“senate:Graham Platner”

🧠 AI analysis

Issueforeign policy defense
Framingcontrast comparison
Message typefundraising
Emotional appealanger
Production tierdiy amateur
Who picturedcandidate, veterans military
Symbolsnone
Call to actiondonate
Standout elementCandidate delivering direct-to-camera accusation of genocide in a casual outdoor setting with no production polish
TacticThe ad uses moral outrage as a fundraising trigger — framing the AIPAC endorsement of the opponent as disqualifying and positioning the candidate's refusal of that money as a principled contrast that justifies donating.

Where it ran (delivery by region)

California13.9%
New York10.3%
Maine9.5%
Massachusetts7.5%
Texas4.0%
Washington3.8%
Pennsylvania3.4%

Who saw it (delivery)

18-24 · female 2.1%
45-54 · male 8.2%
65+ · male 7.9%
65+ · female 8.7%
55-64 · unknown 0.2%
55-64 · male 7.0%
55-64 · female 6.4%
45-54 · unknown 0.3%
45-54 · female 7.0%
18-24 · male 6.0%
35-44 · unknown 0.6%
35-44 · male 13.4%
35-44 · female 10.2%
25-34 · unknown 0.6%
25-34 · male 13.1%
25-34 · female 7.6%
18-24 · unknown 0.3%
65+ · unknown 0.3%

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