Chris Pappas for Congress US Inactive
CHRIS PAPPAS FOR CONGRESS
Sign your name now
Protect the Environment
Ad copy
URGENT: The Trump Administration is exploiting this public health crisis to roll back environmental protections. We can't afford to let these attacks on our environment go unchallenged. Stand with Chris Pappas in opposing the Trump Administration's dangerous attempt to slash environmental standards; sign your name now » https://bit.ly/3gtqlTA
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.3/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 61.7 · 4.7 · 61.0 |
| Spend range | USD 500–599 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 24.42 |
| Est. audience size | — |
| Days live | 18 (2020-06-12 → 2020-06-30) |
| Created | 2020-06-12 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | NH — Chris Pappas |
| Surfaced by | “senate:Chris Pappas” |
🧠 AI analysis
| Issue | energy environment |
| Framing | contrast comparison |
| Message type | list building survey |
| Emotional appeal | fear |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | sign petition |
| Standout element | blank white image with no visual content — copy carries all persuasive weight |
| Tactic | The ad uses urgency framing and crisis language to drive petition signatures, positioning the opponent as a threat to public health and the environment to build Pappas's email list. |
Where it ran (delivery by region)
| California | 13.0% |
| Florida | 6.5% |
| Texas | 6.4% |
| New York | 6.1% |
| Washington | 4.5% |
| Oregon | 4.1% |
| Ohio | 3.9% |
Who saw it (delivery)
| 55-64 · unknown | 0.2% |
| 55-64 · male | 5.0% |
| 45-54 · unknown | 0.1% |
| 25-34 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
| 18-24 · unknown | 0.1% |
| 18-24 · male | 2.4% |
| 35-44 · male | 2.5% |
| 65+ · male | 11.6% |
| 25-34 · male | 3.3% |
| 35-44 · female | 4.5% |
| 18-24 · female | 5.0% |
| 65+ · female | 37.0% |
| 55-64 · female | 14.2% |
| 45-54 · male | 2.4% |
| 25-34 · female | 5.8% |
| 45-54 · female | 5.4% |
| 35-44 · unknown | 0.1% |
