Chris Pappas for Senate
🔊 Our biggest fundraising deadline yet is coming up on December 31! New Hampshire's Senate race is going to be one of the most expensive and competitive races on the map in 2026. National Republicans and the Wall Street money machine are preparing to spend big to flip this seat. If they’re successful, Democrats will have no chance of taking back the Senate. That’s why we need to close out this year with a huge surge of grassroots support. With your help, we can post a fundraising report that demonstrates the strength of our campaign and shows National Republicans that New Hampshire is a poor bet for their money. Will you chip in $5, $10, or $25 today to help us reach our year-end fundraising goal and show that New Hampshire is not for sale? Thank you for your support.
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| Overall score | 39.4/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 61.7 · 5.2 · 52.3 |
| Spend range | USD 1,500–1,999 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 77.76 |
| Est. audience size | — |
| Days live | 20 (2025-12-10 → 2025-12-30) |
| Created | 2025-12-10 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NH — Chris Pappas |
| Surfaced by | “senate:Chris Pappas” |
| 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 image with entirely copy-driven urgency appeal |
| Tactic | Classic end-of-year fundraising deadline pressure tactic framing outside money as an existential threat to motivate grassroots donors before December 31 FEC deadline. |
| New Hampshire | 43.6% |
| Massachusetts | 11.0% |
| California | 5.9% |
| New York | 3.6% |
| Florida | 3.5% |
| Maine | 3.3% |
| Connecticut | 1.9% |
| 18-24 · female | 0.1% |
| 45-54 · male | 3.4% |
| 65+ · male | 30.7% |
| 65+ · female | 36.2% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.6% |
| 55-64 · female | 9.5% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.4% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.2% |
| 35-44 · female | 2.3% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.1% |
| 25-34 · female | 1.1% |
| 65+ · unknown | 0.8% |