Jeff Merkley US Inactive
Jeff Merkley for Oregon
Sign the petition: tell Congress to shut down Donald Trump’s child prison camps
Team Trump is working to expand his awful prison camps for children. I recently visited a camp in Homestead, Florida. It was chilling. Don’t believe ....
Ad copy
I recently went to Homestead, Florida. There I saw the current state of Donald Trump’s prison camps for children. Don’t believe Fox News or Team Trump when they try to lie to you and spin it some other way. Prison camps. For children. That’s exactly what they are. I’ve introduced legislation in Congress to close prison camps like Homestead immediately and reunite children and families. Sign my urgent petition: tell Congress to shut down Donald Trump’s children’s prison camps.
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Performance proxies
| Overall score | 54.7/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 78.0 · 39.1 · 66.9 |
| Spend range | USD 1,000–1,499 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 11.11 |
| Est. audience size | — |
| Days live | 143 (2019-03-14 → 2019-08-04) |
| Created | 2019-03-14 |
| Creative variants | 1 body · 1 headline |
| Platforms | — |
| 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 | none |
| Call to action | sign petition |
| Standout element | Rows of metal bunk beds in a stark warehouse-like facility with bold white-on-dark overlay text |
| Tactic | Uses visceral documentary photography of detention facility paired with incendiary labeling ('prison camps for children') to provoke moral outrage and drive petition signatures, making the opponent the villain while positioning Merkley as the moral actor. |
Where it ran (delivery by region)
| California | 14.9% |
| Texas | 7.4% |
| Florida | 6.2% |
| New York | 5.7% |
| Illinois | 4.7% |
| Ohio | 3.5% |
| Michigan | 3.3% |
Who saw it (delivery)
| 45-54 · female | 6.7% |
| 45-54 · male | 1.3% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.0% |
| 25-34 · unknown | 0.5% |
| 35-44 · unknown | 0.2% |
| 55-64 · male | 0.7% |
| 65+ · male | 0.5% |
| 55-64 · female | 4.3% |
| 35-44 · female | 17.1% |
| 65+ · female | 2.6% |
| 18-24 · unknown | 0.5% |
| 18-24 · female | 23.2% |
| 35-44 · male | 2.5% |
| 25-34 · male | 4.4% |
| 18-24 · male | 2.5% |
| 25-34 · female | 32.8% |
| 65+ · unknown | 0.0% |
