Chris Coons for Delaware
Despite his blockade of an Obama Supreme Court nominee in a presidential election year, the Senate majority leader is now definitive that he would push a Trump nominee in 2020.
Mitch McConnell said he would seek to confirm another one of Donald Trump’s Supreme Court nominees in 2020 if a vacancy opened -- despite the fact that he refused to hold a hearing for President Barack Obama’s nominee, Merrick Garland, for 10 months in 2016, because it was an election year. Packing the courts with anti-choice, conservative judges is part of Trump and his Republican allies’ agenda to restrict women’s right to reproductive health care, so we must fight back now. https://www.nytimes.com/2019/05/29/us/politics/mitch-mcconnell-supreme-court-trump.html
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 42.3/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 69.3 · 6.3 · 64.3 |
| Spend range | USD 700–799 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 15.78 |
| Est. audience size | — |
| Days live | 24 (2019-06-14 → 2019-07-08) |
| Created | 2019-06-14 |
| Creative variants | 1 body · 1 headline |
| Platforms | — |
| Languages | en |
| Candidate | DE — Chris Coons |
| Surfaced by | “senate:Chris Coons” |
| Issue | abortion |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | none |
| Standout element | Dark, brooding close-up profile shot of McConnell reinforcing his villainous framing |
| Tactic | The ad leverages a credible NYT news article screenshot paired with a menacing portrait of McConnell to expose his alleged hypocrisy on court confirmations, stoking anger among pro-choice voters. |
| California | 10.1% |
| Florida | 7.0% |
| New York | 7.0% |
| Pennsylvania | 4.4% |
| Oregon | 4.0% |
| Texas | 3.9% |
| Michigan | 3.6% |
| 18-24 · unknown | 0.0% |
| 35-44 · female | 1.6% |
| 35-44 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.2% |
| 18-24 · male | 0.2% |
| 18-24 · female | 0.3% |
| 65+ · unknown | 0.6% |
| 55-64 · male | 9.2% |
| 65+ · male | 18.9% |
| 35-44 · male | 1.4% |
| 45-54 · female | 4.6% |
| 25-34 · male | 0.7% |
| 25-34 · female | 0.7% |
| 45-54 · male | 3.4% |
| 55-64 · female | 16.3% |
| 65+ · female | 41.7% |
| 25-34 · unknown | 0.0% |