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Mary Peltola US ● Active

ALASKANS FOR MARY

ad creative

Chip in to Mary’s campaign

Donate now

Ad copy

Can you chip in to Mary Peltola’s campaign for U.S. Senate in Alaska ahead of our end-of-quarter FEC fundraising deadline on 6/30? This is a critical moment of our campaign when we can show the DC establishment that we have what it takes to win this TOSS-UP Senate race. The FEC filing deadline is just days away, and this is the most strategic time that you could choose to give. Mary is fighting for Alaskans who are too often left behind by the system in DC that’s enriching millionaires and billionaires, but she needs your support to fight back. If you’re with Mary, please donate today, $5, $10, $20, or whatever you can afford, before the FEC deadline on 6/30.

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

Performance proxies

Overall score48.8/100
Spend / Reach / Long. / Eff.53.9 · 83.1 · 0.8 · 57.3
Spend rangeUSD 7,000–7,999
Impressions175,000 – 199,999
CPM (≈ $/1k impr)USD 40.0
Est. audience size
Days live4 (2026-06-25 → active)
Created2026-06-25
Creative variants1 body · 1 headline
Platformsfacebook, instagram
Languages
CandidateAK — Mary Peltola
Surfaced by“senate:Mary Peltola”

🧠 AI analysis

Issuejobs labor
Framingpositive candidate
Message typefundraising
Emotional appealurgency
Production tiersemi pro
Who picturedcandidate, workers labor
Symbolsfarm rural
Call to actiondonate
Standout elementCandidate in a Teamsters union t-shirt standing on an Alaskan riverbank, projecting authentic grassroots relatability
TacticThe combination of a Teamsters shirt, wild Alaskan scenery, and FEC deadline urgency leverages both labor identity and scarcity-based fundraising pressure to motivate small-dollar donors.

Where it ran (delivery by region)

Alaska25.5%
California11.0%
Washington9.8%
Oregon3.9%
New York3.7%
Massachusetts2.6%
Colorado2.6%

Who saw it (delivery)

18-24 · female 0.8%
45-54 · unknown 0.2%
Unknown · female 0.0%
65+ · unknown 0.8%
65+ · male 30.1%
65+ · female 24.8%
55-64 · unknown 0.3%
55-64 · male 9.6%
55-64 · female 8.3%
45-54 · male 4.9%
18-24 · male 0.6%
45-54 · female 5.0%
35-44 · unknown 0.2%
35-44 · male 4.1%
35-44 · female 4.7%
25-34 · unknown 0.2%
25-34 · male 2.5%
25-34 · female 3.0%
18-24 · unknown 0.1%
Unknown · male 0.0%

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