Chris Pappas US Inactive
Chris Pappas for Senate
Fight back against the NRSC >>
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Ad copy
🚨 The NRSC has released the very first ad directly attacking Chris Pappas. This couldn’t come at a worse time. Recent polls show our race TIED between Chris and John Sununu. National Republicans know that there’s no chance for Democrats to control the Senate without winning in New Hampshire. It’s up to us to keep them from flipping New Hampshire red. Will you help us fight back by chipping in $10 or any amount today?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 39.3/100 |
| Spend / Reach / Long. / Eff. | 31.7 · 59.2 · 11.3 · 55.0 |
| Spend range | USD 900–999 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 54.26 |
| Est. audience size | — |
| Days live | 42 (2026-01-23 → 2026-03-06) |
| Created | 2026-01-23 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NH — Chris Pappas |
| Surfaced by | “senate:Chris Pappas” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | High-contrast blue-to-red gradient with bold white-and-pink text framing GOP spending as a corrupt seat-buying scheme |
| Tactic | Classic threat-plus-urgency fundraising tactic: establishes an external villain (NRSC), invokes a tied-race polling stat to signal stakes, then channels fear of losing into an immediate small-dollar donation ask. |
Where it ran (delivery by region)
| New Hampshire | 44.1% |
| Massachusetts | 9.5% |
| California | 7.1% |
| Florida | 4.2% |
| New York | 3.6% |
| Maine | 2.0% |
| Vermont | 1.9% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 45-54 · male | 1.9% |
| 65+ · male | 25.6% |
| 65+ · female | 45.4% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 5.3% |
| 55-64 · female | 11.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.1% |
| 18-24 · male | 0.0% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.2% |
| 35-44 · female | 2.6% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.4% |
| 25-34 · female | 1.0% |
| 65+ · unknown | 1.1% |
