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David Costello US Inactive

COSTELLO FOR U.S. SENATE

ad creative

David Costello

Digital creator

Ad copy

Myself, and beagle Stella, think that I'm the best (most electable) Democrat to take on Senator Collins in 2026. We believe this because I possess the most genuine working-class Maine roots; benefit from the broadest public service experience; have yet to garner “establishment” support; stand committed to advancing the boldest and most substantive policy reform ideas; have authored no-disqualifying social media; and I'm not yet fully eligible for Social Security... For more detailed information, check out costelloforsenate.com

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

Performance proxies

Overall score32.2/100
Spend / Reach / Long. / Eff.11.9 · 51.9 · 1.7 · 63.5
Spend rangeUSD 100–199
Impressions8,000 – 8,999
CPM (≈ $/1k impr)USD 17.59
Est. audience size500,001 – 1,000,000
Days live7 (2026-05-28 → 2026-06-04)
Created2026-05-28
Creative variants1 body · 1 headline
Platformsfacebook, instagram
Languagesen
CandidateME — David Costello
Surfaced by“senate:David Costello”

🧠 AI analysis

Issuecandidate character bio
Framingpositive candidate
Message typepersuasion
Emotional appealempathy
Production tierdiy amateur
Who picturedcandidate, family children
Symbolsfamily
Call to actionlearn more
Standout elementcandidate relaxing at home with beagle and partner in front of a book-filled wall, projecting unpretentious intellectual warmth
TacticThe ad uses self-deprecating humor and a candid home photo to build authenticity and electability contrast against establishment Democrats, positioning Costello as a genuine working-class outsider.

Where it ran (delivery by region)

Maine100.0%

Who saw it (delivery)

18-24 · female 2.0%
45-54 · male 4.0%
65+ · male 17.1%
65+ · female 27.0%
55-64 · unknown 0.1%
55-64 · male 5.1%
55-64 · female 5.1%
45-54 · unknown 0.1%
45-54 · female 2.8%
18-24 · male 4.1%
35-44 · unknown 0.1%
35-44 · male 9.4%
35-44 · female 5.0%
25-34 · unknown 0.1%
25-34 · male 10.9%
25-34 · female 6.9%
18-24 · unknown 0.1%
65+ · unknown 0.3%

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