Chris Pappas for Senate
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Hey folks, it’s Chris Pappas with an important update on this race: I’m tied with my opponent in multiple polls. It’s another reason why New Hampshire’s Senate race will be one of the most competitive — and expensive — races on the map this year. National Republicans and their dark money allies are ready to do whatever it takes to flip this seat. I’ve won tough races before, so I know this to be true: The way to win a race this close is with a strong grassroots team. If we’re going to have a chance to flip the Senate, I need you by my side in New Hampshire. Can I count on you to chip in today to help us keep up the fight?
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| Overall score | 45.0/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 70.7 · 12.1 · 59.0 |
| Spend range | USD 1,500–1,999 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 31.81 |
| Est. audience size | — |
| Days live | 45 (2026-01-13 → 2026-02-27) |
| Created | 2026-01-13 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NH — Chris Pappas |
| Surfaced by | “senate:Chris Pappas” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Side-by-side candidate comparison with red-tinted opponent photo versus clean blue candidate photo and polling margin graphic |
| Tactic | Uses a tied-poll alarm to manufacture urgency, framing the close race as a call-to-action that only a grassroots donation surge can answer. |
| New Hampshire | 34.4% |
| Massachusetts | 14.8% |
| California | 5.9% |
| Maine | 5.9% |
| New York | 3.8% |
| Florida | 3.3% |
| Washington | 2.5% |
| 18-24 · female | 0.2% |
| 45-54 · male | 3.1% |
| 65+ · male | 23.4% |
| 65+ · female | 34.9% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 7.5% |
| 55-64 · female | 13.2% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 6.3% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 2.3% |
| 35-44 · female | 4.4% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.2% |
| 25-34 · female | 1.7% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.9% |