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
Donald Trump has already made Chris Pappas a top target in his desperate attempt to win New Hampshire and take back the House majority. Chris can keep this battleground district blue, but he needs your help. Pitch in whatever you can before our July deadline here » https://bit.ly/38HrNhM
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.4/100 |
| Spend / Reach / Long. / Eff. | 30.5 · 65.4 · 5.2 · 60.5 |
| Spend range | USD 800–899 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 26.14 |
| Est. audience size | 50,001 – 100,000 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Content removed notice replacing the actual ad creative, revealing a compliance issue |
| Tactic | The ad leverages urgency and threat-framing by casting Trump as a direct opponent targeting Pappas personally, motivating donors to give before a deadline to protect a competitive district. |
Where it ran (delivery by region)
| New Hampshire | 40.2% |
| Massachusetts | 11.6% |
| Maine | 5.6% |
| Pennsylvania | 3.4% |
| New York | 3.4% |
| Vermont | 3.1% |
| Florida | 3.1% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 65+ · female | 33.6% |
| 35-44 · unknown | 0.1% |
| 18-24 · female | 0.8% |
| 55-64 · male | 8.2% |
| 55-64 · female | 15.5% |
| 35-44 · female | 4.6% |
| 25-34 · male | 3.1% |
| 65+ · male | 14.3% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.5% |
| 45-54 · female | 6.8% |
| 18-24 · male | 1.0% |
| 25-34 · female | 2.7% |
| 45-54 · male | 4.4% |
| 35-44 · male | 3.6% |
| 55-64 · unknown | 0.3% |
| 25-34 · unknown | 0.2% |
