Chris Pappas US Inactive
Chris Pappas for Senate
Let’s Fight Back >>>
Ad copy
We have some bad news: A recent poll shows Chris Pappas and John Sununu are in a statistical tie. Governor Pritzker is right—Chris needs your support right now. Republicans and their dark money allies are making it clear that they’re preparing to spend big to flip this seat. If we don’t fight for New Hampshire, Democrats have little to no chance of winning back the majority. Will you step up now and chip in $5, or whatever you can afford, to help us get Chris elected and secure a huge win for Democrats?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 53.3/100 |
| Spend / Reach / Long. / Eff. | 56.4 · 78.0 · 27.0 · 51.7 |
| Spend range | USD 9,000–9,999 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 84.44 |
| Est. audience size | — |
| Days live | 99 (2025-12-02 → 2026-03-11) |
| Created | 2025-12-02 |
| 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 | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | us flag |
| Call to action | donate |
| Standout element | Celebrity surrogate governor delivering an urgent in-person endorsement with US and NH state flags flanking him |
| Tactic | Uses fear-of-losing framing combined with a high-profile out-of-state endorser to create urgency and social proof, driving small-dollar donations by tying the local race to the national Senate majority. |
Where it ran (delivery by region)
| New Hampshire | 19.9% |
| Massachusetts | 10.1% |
| California | 10.0% |
| New York | 5.8% |
| Florida | 5.7% |
| Pennsylvania | 2.8% |
| New Jersey | 2.7% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 1.7% |
| 65+ · male | 27.7% |
| 65+ · female | 47.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 5.8% |
| 55-64 · female | 9.4% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.7% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 1.0% |
| 35-44 · female | 1.5% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.4% |
| 25-34 · female | 0.6% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 1.0% |
