Chris Coons US Inactive
CHRIS COONS FOR DELAWARE
McConnell Is Pushing Through Another Trump Judge Who’s Gunning for Obamacare
The Senate majority leader won’t let a pandemic keep him from confirming as many Trump appointees as possible before the election.
Ad copy
What happened in the Republican-controlled Senate today? No debate on more relief for our communities, just another hearing on yet another extreme, far-right judicial nominee backed by President Trump and Mitch McConnell. This nominee, Judge Cory Wilson, has a long history of attacking the Affordable Care Act, and he refused to answer my basic questions today about voter suppression efforts. He does not belong on the federal bench, and his likely confirmation is a perfect example of why we need to take back the Senate this fall.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 44.2/100 |
| Spend / Reach / Long. / Eff. | 27.6 · 73.9 · 6.6 · 68.7 |
| Spend range | USD 600–699 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 8.66 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 25 (2020-05-21 → 2020-06-15) |
| Created | 2020-05-21 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | DE — Chris Coons |
| Surfaced by | “senate:Chris Coons” |
🧠 AI analysis
| Issue | healthcare |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | vote |
| Standout element | Close-up of McConnell peering from behind Trump, both in masks, evoking a conspiratorial and sinister dynamic |
| Tactic | The ad weaponizes a credible Slate news headline alongside an ominous photo of McConnell lurking behind Trump to tie judicial overreach directly to ACA threats, stoking fear and urgency around healthcare. |
Where it ran (delivery by region)
| Delaware | 10.5% |
| California | 8.9% |
| Florida | 7.0% |
| New York | 5.5% |
| Pennsylvania | 4.9% |
| Texas | 4.1% |
| Michigan | 3.9% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 65+ · female | 45.0% |
| 45-54 · unknown | 0.1% |
| 18-24 · female | 0.3% |
| 35-44 · male | 1.1% |
| 25-34 · female | 0.9% |
| 55-64 · female | 14.5% |
| 65+ · male | 20.0% |
| 45-54 · male | 2.8% |
| 18-24 · unknown | 0.0% |
| 55-64 · male | 9.0% |
| 45-54 · female | 3.4% |
| 25-34 · male | 0.7% |
| 35-44 · female | 1.1% |
| 18-24 · male | 0.3% |
| 65+ · unknown | 0.6% |
| 55-64 · unknown | 0.2% |
| 25-34 · unknown | 0.0% |
