Chris Pappas US Inactive
Chris Pappas for Senate
Chris Wins. Dems Win.
Ad copy
Well said, Governor Pritzker! 👏 👏 👏 Recent polling reveals that Chris is neck-and-neck—in a statistical tie—with his opponent, John Sununu. New Hampshire is the Republicans' best chance to flip a Senate seat and maintain their grip on the Senate. We can’t let that happen. Republicans have endless dark money for campaign funding, while Chris is relying on grassroots support from folks like you. We need to start earlier and work harder if we’re going to out-work Sununu and win in 2026. This race is way too close for comfort. Chip in $5 or whatever you can afford to help get Chris elected and keep this seat safe for the Democrats.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 39.6/100 |
| Spend / Reach / Long. / Eff. | 31.7 · 61.7 · 8.3 · 56.9 |
| Spend range | USD 900–999 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 42.2 |
| Est. audience size | — |
| Days live | 31 (2026-01-12 → 2026-02-12) |
| Created | 2026-01-12 |
| 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 | Out-of-state governor surrogate appearing on video to lend cross-party credibility and urgency to a tight race |
| Tactic | Leverages a high-profile endorser and a competitive polling stat to trigger fear of losing the Senate, then immediately pivots to a small-dollar donation ask to lower the barrier to action. |
Where it ran (delivery by region)
| New Hampshire | 16.1% |
| Massachusetts | 13.7% |
| California | 7.3% |
| New York | 6.3% |
| Florida | 4.7% |
| New Jersey | 4.0% |
| Pennsylvania | 3.5% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 2.4% |
| 65+ · male | 23.8% |
| 65+ · female | 42.4% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.1% |
| 55-64 · female | 13.5% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.3% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.2% |
| 35-44 · female | 2.2% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 0.5% |
| 25-34 · female | 1.0% |
| 65+ · unknown | 0.9% |
