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Jeff Wadlin US Inactive

WADLIN FOR SENATE 2026

ad creative

Ad copy

No endless wars. Especially not ones that just get us back to where we were with the Oman-brokered deal before the bombing started. And especially not ones that were precipitated by Cotton himself, thanks to his scrapping the JCPOA (which - while not perfect -was keeping Iran's nuclear program constrained using inspectors), & replacing it with no other agreement - only sanctions, which were clearly ineffective, considering Iran then began enriching uranium again. No wars that cost billions or trillions & have no definition of winning, & accomplish nothing. No wars that disrupt global supply chains & spike inflation. No wars that pile debt on our kids & grandkids. www.JeffWadlin.com

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Performance proxies

Overall score44.7/100
Spend / Reach / Long. / Eff.21.0 · 78.0 · 3.3 · 76.4
Spend rangeUSD 300–399
Impressions100,000 – 124,999
CPM (≈ $/1k impr)USD 3.11
Est. audience size
Days live13 (2026-06-04 → 2026-06-17)
Created2026-06-04
Creative variants1 body · 0 headline
Platformsfacebook, instagram
Languages
CandidateAR — Jeff Wadlin
Surfaced by“senate:Jeff Wadlin”

🧠 AI analysis

Issueforeign policy defense
Framingattack opponent
Message typepersuasion
Emotional appealfear
Production tiersemi pro
Who picturednone
Symbolsnone
Call to actionlearn more
Standout elementMassive distressed white-on-black typography spelling 'No war with IRAQ' dominates the entire frame with smoky ominous clouds above
TacticThe ad uses stark, high-contrast fear-appeal typography and blames opponent Tom Cotton for precipitating conflict by scrapping the JCPOA, positioning Wadlin as the anti-war alternative.

Where it ran (delivery by region)

Arkansas100.0%

Who saw it (delivery)

18-24 · female 17.6%
45-54 · unknown 0.1%
Unknown · male 0.0%
Unknown · female 0.0%
65+ · unknown 0.1%
65+ · male 4.4%
65+ · female 1.7%
55-64 · unknown 0.1%
55-64 · male 5.5%
55-64 · female 1.5%
45-54 · male 5.1%
18-24 · male 28.3%
45-54 · female 1.4%
35-44 · unknown 0.1%
35-44 · male 7.2%
35-44 · female 2.4%
25-34 · unknown 0.3%
25-34 · male 16.2%
25-34 · female 7.3%
18-24 · unknown 0.9%
Unknown · unknown 0.0%

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