Chris Pappas US Inactive
Chris Pappas for Senate
Defend this seat from Trump
Show your support with a contribution.
Ad copy
Trump has his eyes on New Hampshire. As we speak, he’s working to recruit an extreme Republican to run against Chris Pappas. We’re quickly approaching our end-of-month deadline, and we need to make a powerful statement. Our average donation is just $32 – will you pitch in that amount or whatever you can today to help us hit our goal and protect this seat from MAGA extremists? Every dollar you give helps us prepare for the tough fights ahead in this critical state.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.0/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 61.7 · 2.2 · 58.7 |
| Spend range | USD 700–799 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 33.31 |
| Est. audience size | — |
| Days live | 9 (2025-04-22 → 2025-05-01) |
| Created | 2025-04-22 |
| 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 | attack opponent |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | blank white image with no visual content — all persuasion carried by copy alone |
| Tactic | The ad uses urgency framing (end-of-month deadline, average donation anchor of $32) combined with threat-based fear appeal against Trump and MAGA extremists to drive small-dollar donations for a competitive Senate seat. |
Where it ran (delivery by region)
| New Hampshire | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 45-54 · male | 4.1% |
| 65+ · male | 11.4% |
| 65+ · female | 27.0% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 6.8% |
| 55-64 · female | 18.2% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 11.4% |
| 18-24 · male | 0.5% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 4.2% |
| 35-44 · female | 8.4% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 2.3% |
| 25-34 · female | 3.7% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.5% |
