Chris Coons US Inactive
CHRIS COONS FOR DELAWARE
"Leave no vacancy behind": Mitch McConnell remains laser-focused on judges amid coronavirus
Democrats, meanwhile, are wondering why a judicial nominee is even on the docket when lawmakers haven’t approved more stimulus.
Ad copy
It's absolutely ridiculous that Mitch McConnell has forced the Senate back into session this week *not to pass additional COVID relief* - but to confirm one of his former interns, an unqualified 38 year old, to a lifetime seat on the federal bench.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.8/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 75.1 · 2.5 · 68.6 |
| Spend range | USD 700–799 |
| Impressions | 80,000 – 89,999 |
| CPM (≈ $/1k impr) | USD 8.82 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 10 (2020-05-11 → 2020-05-21) |
| Created | 2020-05-11 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | DE — Chris Coons |
| Surfaced by | “senate:Chris Coons” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | us flag |
| Call to action | none |
| Standout element | Vox news screenshot lending journalistic credibility to attack on McConnell's judicial confirmation priorities over COVID relief |
| Tactic | The ad leverages third-party media credibility by embedding a Vox headline to validate the attack, framing McConnell as callously prioritizing judicial appointments over pandemic relief to provoke voter outrage. |
Where it ran (delivery by region)
| Delaware | 10.4% |
| California | 9.1% |
| Florida | 7.0% |
| New York | 5.5% |
| Pennsylvania | 4.8% |
| Texas | 4.3% |
| Michigan | 3.9% |
Who saw it (delivery)
| 25-34 · unknown | 0.0% |
| 55-64 · female | 14.7% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.2% |
| 18-24 · male | 0.2% |
| 25-34 · female | 0.8% |
| 25-34 · male | 0.6% |
| 65+ · unknown | 0.6% |
| 35-44 · female | 1.2% |
| 18-24 · unknown | 0.0% |
| 55-64 · male | 8.9% |
| 45-54 · female | 3.4% |
| 65+ · female | 46.0% |
| 65+ · male | 19.4% |
| 35-44 · male | 1.0% |
| 45-54 · male | 2.6% |
| 18-24 · female | 0.3% |
| 35-44 · unknown | 0.0% |
