Chris Pappas US Inactive
Chris Pappas for Senate
Support Chris Pappas for NH >>
Ad copy
🚨Gov. Pritzker incoming! 🚨 We couldn’t have said it better than Governor Pritzker. We need Chris to win for New Hampshire and stop a Trump-picked candidate from taking this seat. New Hampshire was Trump’s closest loss in 2024, and he’ll do whatever he can to flip this seat in 2026 and expand the GOP Senate majority. We need your support to stop him. Can you chip in $10 to our campaign today?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 41.9/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 43.0 · 54.0 · 53.0 |
| Spend range | USD 200–299 |
| Impressions | 3,000 – 3,999 |
| CPM (≈ $/1k impr) | USD 71.3 |
| Est. audience size | — |
| Days live | 197 (2025-05-01 → 2025-11-14) |
| Created | 2025-05-01 |
| 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 | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | us flag |
| Call to action | donate |
| Standout element | Governor Pritzker delivering an urgent video endorsement flanked by US and NH state flags |
| Tactic | Leverages a high-profile out-of-state surrogate endorsement to create urgency and credibility, framing the 2026 NH Senate race as a critical firewall against Trump's Senate majority expansion. |
Where it ran (delivery by region)
| New Hampshire | 16.7% |
| Massachusetts | 16.1% |
| California | 9.9% |
| New York | 8.5% |
| New Jersey | 5.4% |
| Florida | 4.0% |
| Maine | 3.9% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 2.5% |
| 65+ · male | 27.2% |
| 65+ · female | 44.0% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 7.6% |
| 55-64 · female | 11.0% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 2.1% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.0% |
| 35-44 · female | 1.2% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 0.8% |
| 25-34 · female | 0.7% |
| 65+ · unknown | 1.1% |
