Chris Pappas US Inactive
Chris Pappas for Senate
Support Chris Pappas for Senate >>
Ad copy
Can you take a moment to listen to my friend Gov. Pritzker? He’s right – Trump has his eyes on New Hampshire’s Senate seat and our campaign. He’s actively searching for my opponent and wants to flip this seat red and expand the GOP Senate majority. But we can stop him by winning this race. Can you chip in any amount now to help our grassroots campaign fight back against Trump and national Republicans? Every dollar helps us defend this seat and keep New Hampshire blue. – Chris
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 41.2/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 43.0 · 53.2 · 56.8 |
| Spend range | USD 100–199 |
| Impressions | 3,000 – 3,999 |
| CPM (≈ $/1k impr) | USD 42.72 |
| Est. audience size | — |
| Days live | 194 (2025-05-02 → 2025-11-12) |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | donate |
| Standout element | Governor Pritzker as surrogate messenger flanked by US and NH state flags lends cross-state establishment credibility |
| Tactic | Leverages a high-profile Democratic governor as a third-party validator to amplify the threat-from-Trump fear appeal and drive emergency small-dollar donations. |
Where it ran (delivery by region)
| New Hampshire | 15.7% |
| Massachusetts | 13.6% |
| California | 8.5% |
| New York | 6.8% |
| Maine | 5.3% |
| Florida | 4.3% |
| Pennsylvania | 4.1% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 1.9% |
| 65+ · male | 21.7% |
| 65+ · female | 46.7% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.8% |
| 55-64 · female | 13.3% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.2% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 0.8% |
| 35-44 · female | 1.3% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 0.7% |
| 25-34 · female | 0.8% |
| 65+ · unknown | 1.0% |
