Chris Pappas for Congress US Inactive
CHRIS PAPPAS FOR CONGRESS
Re-elect Chris Pappas
If Chris Pappas loses in NH, Democrats could lose the House.
Ad copy
National Republicans and the entire MAGA machine are coming after Chris Pappas's battleground House seat. Chris's Trump-endorsed opponent was even named the "MAGA Candidate of the Week," and he's ready to buy this seat with the help of Trump's super PAC. Rush a donation to keep this swing district blue » https://bit.ly/3fiALEp
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.6/100 |
| Spend / Reach / Long. / Eff. | 27.6 · 61.7 · 5.2 · 59.7 |
| Spend range | USD 600–699 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 28.87 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 20 (2020-07-10 → 2020-07-30) |
| Created | 2020-07-10 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | NH — Chris Pappas |
| Surfaced by | “senate:Chris Pappas” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Blank/unloaded image with all persuasion carried entirely by copy |
| Tactic | The ad uses fear-of-loss urgency by framing the race as a direct MAGA money assault on a battleground seat, driving immediate donation response. |
Where it ran (delivery by region)
| New Hampshire | 25.4% |
| California | 6.7% |
| New York | 5.3% |
| Florida | 4.9% |
| Massachusetts | 4.8% |
| Texas | 3.7% |
| Illinois | 3.1% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 18-24 · male | 3.6% |
| 55-64 · unknown | 0.2% |
| 18-24 · female | 1.6% |
| 45-54 · unknown | 0.1% |
| 35-44 · female | 3.1% |
| 65+ · unknown | 0.5% |
| 65+ · female | 31.3% |
| 55-64 · male | 8.4% |
| 25-34 · unknown | 0.2% |
| 65+ · male | 16.6% |
| 45-54 · male | 4.8% |
| 25-34 · male | 6.6% |
| 55-64 · female | 10.9% |
| 45-54 · female | 4.1% |
| 25-34 · female | 2.9% |
| 35-44 · male | 4.9% |
| 18-24 · unknown | 0.1% |
