Chris Pappas for Congress US Inactive
CHRIS PAPPAS FOR CONGRESS
⚠ Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
Ad copy
If elected, Karoline Leavitt would pass a National Abortion Ban with no exceptions for rape, incest, or the life of the mother. We can't take that risk. She's just too extreme for New Hampshire.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 49.2/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 80.0 · 11.3 · 62.5 |
| Spend range | USD 2,500–2,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 20.0 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 42 (2022-09-20 → 2022-11-01) |
| Created | 2022-09-20 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NH — Chris Pappas |
| Surfaced by | “senate:Chris Pappas” |
🧠 AI analysis
| Issue | abortion |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content removal notice obscuring the actual ad creative |
| Tactic | The ad copy leverages fear-based framing around a National Abortion Ban with no exceptions to paint Leavitt as dangerously extreme for New Hampshire, though the creative itself is unavailable due to a policy disclaimer violation flag. |
Where it ran (delivery by region)
| New Hampshire | 94.9% |
| England | 1.1% |
| Maine | 0.4% |
| Massachusetts | 0.2% |
| Masovian Voivodeship | 0.1% |
| Greater Poland Voivodeship | 0.1% |
| Silesian Voivodeship | 0.1% |
Who saw it (delivery)
| 35-44 · unknown | 0.0% |
| 65+ · unknown | 0.0% |
| 45-54 · female | 10.6% |
| 65+ · female | 9.2% |
| 35-44 · female | 12.8% |
| 18-24 · female | 30.6% |
| 55-64 · female | 11.6% |
| 25-34 · female | 23.1% |
| 18-24 · unknown | 0.0% |
| 55-64 · unknown | 0.0% |
| 45-54 · unknown | 0.0% |
| 25-34 · unknown | 0.0% |
| 18-24 · male | 0.1% |
| 65+ · male | 0.2% |
| 25-34 · male | 0.5% |
| 45-54 · male | 0.4% |
| 35-44 · male | 0.6% |
| 55-64 · male | 0.3% |
| 13-17 · female | 0.1% |
