Jeff Merkley US Inactive
JEFF MERKLEY FOR OREGON
Sign the petition. Urge Congress to pass my plan to stop the cruel treatment of migrant children in U.S. custody.
We must stop the cruel treatment of children in our custody. My plan before Congress: End family separations, except in the most extreme ....
Ad copy
They are children. CHILDREN. And yet Donald Trump’s government is ripping them from their families, jailing them indefinitely, and denying them the most basic things -- like showers, diapers, medical care. This has to stop. Please sign my petition. We must be heard.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 58.4/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 88.7 · 35.5 · 74.8 |
| Spend range | USD 1,000–1,499 |
| Impressions | 300,000 – 349,999 |
| CPM (≈ $/1k impr) | USD 3.84 |
| 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 | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | border |
| Call to action | sign petition |
| Standout element | Dark, moody border fence photo with stark white accusatory headline evoking a moral crisis |
| Tactic | The ad uses visceral moral shaming — repeating 'CHILDREN' for emotional impact — combined with a petition CTA to convert outrage into list-building signups. |
Where it ran (delivery by region)
| California | 8.6% |
| Texas | 8.2% |
| New York | 6.9% |
| Florida | 5.6% |
| Illinois | 4.6% |
| Washington | 4.1% |
| Pennsylvania | 3.5% |
Who saw it (delivery)
| 45-54 · female | 10.1% |
| 25-34 · unknown | 0.5% |
| 35-44 · unknown | 0.3% |
| 18-24 · unknown | 0.5% |
| 18-24 · male | 2.1% |
| 65+ · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
| 18-24 · female | 19.7% |
| 35-44 · male | 1.7% |
| 25-34 · male | 2.8% |
| 45-54 · male | 1.0% |
| 65+ · male | 0.9% |
| 65+ · female | 6.3% |
| 25-34 · female | 26.1% |
| 55-64 · male | 0.9% |
| 55-64 · female | 8.3% |
| 35-44 · female | 18.7% |
| 45-54 · unknown | 0.1% |
