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Chris Pappas US Inactive

Chris Pappas for Senate

ad creative

🚨Tied Race Alert: Donate

Show your support with a contribution.

Ad copy

🚨BREAKING: Multiple polls show our campaign TIED with John Sununu. 🚨 National Republicans and their dark money allies already see this as one of their best chances to flip a Senate seat. If they take New Hampshire, Democrats have no shot at winning back the majority. This race is way too close for comfort. But we’ve won tough races before – with the support of a strong grassroots movement of people like you. Will you chip in $5, $10, or whatever you can today to defend this Senate seat? Let’s fight with everything we have to hold New Hampshire and help Democrats win control of the Senate to provide a check in Washington.

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

Performance proxies

Overall score40.1/100
Spend / Reach / Long. / Eff.41.0 · 59.2 · 11.8 · 48.6
Spend rangeUSD 2,000–2,499
Impressions15,000 – 19,999
CPM (≈ $/1k impr)USD 128.55
Est. audience size10,001 – 50,000
Days live44 (2026-01-13 → 2026-02-26)
Created2026-01-13
Creative variants1 body · 1 headline
Platformsfacebook, instagram
Languagesen
CandidateNH — Chris Pappas
Surfaced by“senate:Chris Pappas”

🧠 AI analysis

Issuedemocracy elections
Framingcontrast comparison
Message typefundraising
Emotional appealurgency
Production tiersemi pro
Who picturedcandidate, opponent
Symbolsnone
Call to actiondonate
Standout elementSide-by-side candidate comparison with Sununu in ominous red-tinted photo vs. Pappas in clean blue, marked with an X and a checkmark respectively
TacticClassic tied-race urgency fundraising tactic using polling data and dark-money threat framing to manufacture FOMO and drive small-dollar donations.

Where it ran (delivery by region)

New Hampshire37.1%
Massachusetts8.5%
California7.5%
Florida4.7%
New York4.1%
Illinois2.5%
New Jersey2.3%

Who saw it (delivery)

18-24 · female 0.1%
45-54 · male 2.2%
65+ · male 27.8%
65+ · female 47.0%
55-64 · unknown 0.1%
55-64 · male 5.6%
55-64 · female 8.5%
45-54 · unknown 0.1%
45-54 · female 3.1%
18-24 · male 0.1%
35-44 · unknown 0.0%
35-44 · male 1.2%
35-44 · female 2.1%
25-34 · unknown 0.0%
25-34 · male 0.6%
25-34 · female 0.6%
65+ · unknown 1.0%

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