Chris Pappas US Inactive
Chris Pappas for Senate
All in for Chris Pappas >>
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Ad copy
This couldn’t come at a worse time… Recent polls show our race is TIED, and now the NRSC has just released an ad attacking Chris, confirming that they are all-in to support John Sununu. National Republicans know that there’s no chance for Democrats to control the Senate without winning in New Hampshire. That’s why they are trying to control the narrative early. We have to respond quickly. And a wave of support from our grassroots team would be the best comeback. Will you help us fight back by chipping in today? We need to be all-in for Chris Pappas when it matters most.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.8/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 59.2 · 11.0 · 59.1 |
| Spend range | USD 500–599 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 31.4 |
| Est. audience size | — |
| Days live | 41 (2026-01-23 → 2026-03-05) |
| 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 | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Red-to-blue gradient background with faint party animal silhouettes flanking bold white and pink accusatory headline |
| Tactic | Urgency-and-threat fundraising tactic that frames GOP outside spending as an attack on democracy, using a tied-poll statistic to create scarcity and motivate immediate grassroots donations. |
Where it ran (delivery by region)
| New Hampshire | 23.2% |
| Massachusetts | 11.9% |
| California | 6.8% |
| New York | 4.9% |
| Florida | 4.7% |
| Maine | 4.2% |
| New Jersey | 3.4% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 2.9% |
| 65+ · male | 26.0% |
| 65+ · female | 38.6% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.4% |
| 55-64 · female | 12.4% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.9% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.7% |
| 35-44 · female | 2.9% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 0.7% |
| 25-34 · female | 0.8% |
| 65+ · unknown | 1.0% |
