Jeff Merkley US Inactive
JEFF MERKLEY FOR OREGON
Sign the petition: No new children's prisons
Donald Trump wants to open more huge, unregulated child prisons. After all we've seen, Team Trump's answer is to double down on the inhumane treatment ....
Ad copy
Donald Trump wants to open more huge, unregulated child prisons. After all we've seen, Team Trump's answer is to double down on the inhumane treatment of immigrant and refugee children? These prisons wouldn't be subject to state child welfare requirements. They likely won't provide access to education, to exercise, to legal aid. These are innocent children, not prisoners. We are responsible for their well-being. Sign the petition and say NO to new children's prisons.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 58.9/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 88.7 · 35.5 · 70.4 |
| Spend range | USD 2,000–2,499 |
| Impressions | 300,000 – 349,999 |
| CPM (≈ $/1k impr) | USD 6.92 |
| Est. audience size | — |
| Days live | 130 (2020-03-31 → 2020-08-08) |
| Created | 2020-03-31 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | OR — Jeff Merkley |
| Surfaced by | “senate:Jeff Merkley” |
🧠 AI analysis
| Issue | immigration |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | border |
| Call to action | sign petition |
| Standout element | Close-up razor-wire chain-link fence evoking a prison or detention facility with bold white overlay text |
| Tactic | Uses visceral imagery of a detention-style fence paired with emotionally charged language about innocent children to drive fear and moral outrage, compelling petition signatures against Trump's immigration detention policy. |
Where it ran (delivery by region)
| California | 11.1% |
| New York | 7.6% |
| Florida | 6.7% |
| Texas | 6.4% |
| Washington | 4.8% |
| Illinois | 4.3% |
| Pennsylvania | 3.8% |
Who saw it (delivery)
| 35-44 · unknown | 0.3% |
| 55-64 · male | 2.7% |
| 18-24 · unknown | 0.3% |
| 18-24 · male | 0.9% |
| 45-54 · male | 2.2% |
| 55-64 · unknown | 0.2% |
| 65+ · male | 4.0% |
| 18-24 · female | 6.3% |
| 65+ · female | 19.1% |
| 65+ · unknown | 0.3% |
| 45-54 · female | 11.8% |
| 35-44 · female | 15.7% |
| 25-34 · female | 16.5% |
| 55-64 · female | 14.4% |
| 25-34 · male | 2.2% |
| 35-44 · male | 2.3% |
| 25-34 · unknown | 0.5% |
| 45-54 · unknown | 0.2% |
