JEFF MERKLEY FOR OREGON
Donald Trump has announced a new child imprisonment rule -- one that would allow his administration to hold children and their families in immigration jails ....
You know the horrors Donald Trump is inflicting on migrant families, families seeking asylum, and their children. Now, they're making it worse. Trump's new rule would allow them to lock up children indefinitely. Sign the petition: urge Congress to step in and end Donald Trump’s cruel child imprisonment plan.
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| Overall score | 56.9/100 |
| Spend / Reach / Long. / Eff. | 52.4 · 83.1 · 33.6 · 58.4 |
| Spend range | USD 6,000–6,999 |
| Impressions | 175,000 – 199,999 |
| CPM (≈ $/1k impr) | USD 34.66 |
| Est. audience size | — |
| Days live | 123 (2019-11-14 → 2020-03-16) |
| Created | 2019-11-14 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | OR — Jeff Merkley |
| Surfaced by | “senate:Jeff Merkley” |
| Issue | immigration |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | family children |
| Symbols | family, border |
| Call to action | sign petition |
| Standout element | Close-up of a wide-eyed, anxious-looking migrant toddler filling the entire frame |
| Tactic | The ad weaponizes raw emotional empathy by centering a vulnerable child's fearful gaze to make abstract immigration policy viscerally personal, driving petition sign-ups through moral outrage at the named opponent. |
| California | 11.7% |
| Florida | 6.6% |
| New York | 6.2% |
| Pennsylvania | 4.7% |
| Michigan | 4.5% |
| Texas | 4.4% |
| Washington | 3.8% |
| 45-54 · unknown | 0.1% |
| 35-44 · female | 2.8% |
| 35-44 · unknown | 0.1% |
| 45-54 · male | 1.5% |
| 25-34 · male | 0.5% |
| 18-24 · male | 0.2% |
| 65+ · unknown | 0.4% |
| 18-24 · female | 0.6% |
| 55-64 · male | 4.0% |
| 55-64 · unknown | 0.2% |
| 25-34 · female | 1.9% |
| 45-54 · female | 6.6% |
| 65+ · male | 8.8% |
| 35-44 · male | 0.6% |
| 55-64 · female | 21.9% |
| 65+ · female | 49.7% |
| 18-24 · unknown | 0.0% |
| 25-34 · unknown | 0.1% |