Chris Pappas US Inactive
Chris Pappas for Senate
This race is in the margin of error. Donate now >>>
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Ad copy
🚨The path to Senate control runs right through New Hampshire. A new poll shows Chris Pappas leading John E. Sununu by just 2 points — well within the margin of error. Republicans and their dark money allies are making it clear that they’re preparing to spend big to flip this seat. And if they do, Democrats have zero chance of winning back the majority. This race is going to come down to people like you. Pitch in now to protect New Hampshire, defend this seat, and help Democrats take back the Senate.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.8/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 63.8 · 3.6 · 64.0 |
| Spend range | USD 400–499 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 16.35 |
| Est. audience size | — |
| Days live | 14 (2025-09-10 → 2025-09-24) |
| Created | 2025-09-09 |
| 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 | informational |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Blank white image with no visual content — the entire persuasive weight falls on the ad copy |
| Tactic | Classic urgency-and-scarcity fundraising tactic using a close poll number and dark money threat to motivate small-dollar donors with a direct donate CTA. |
Where it ran (delivery by region)
| New Hampshire | 100.0% |
Who saw it (delivery)
| 18-24 · female | 1.5% |
| 45-54 · male | 7.1% |
| 65+ · male | 7.7% |
| 65+ · female | 11.4% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.0% |
| 55-64 · female | 10.3% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 9.9% |
| 18-24 · male | 2.5% |
| 35-44 · unknown | 0.5% |
| 35-44 · male | 10.0% |
| 35-44 · female | 13.9% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 7.5% |
| 25-34 · female | 9.3% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.3% |
