Chris Coons US Inactive
CHRIS COONS FOR DELAWARE
Protect the Supreme Court
Sign The Petition >>
Ad copy
Majority Leader Mitch McConnell wants to rush in Justice Ginsburg's replacement -- after blocking President Obama's nomination of Merrick Garland, citing the proximity to the upcoming presidential election. This is the height of hypocrisy. He set the precedent then, and we need your help to ensure he follows it now. Demand Mitch McConnell not rush through her replacement before the presidential inauguration! >> https://bit.ly/33Xe5oR
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.9/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 61.7 · 8.5 · 64.4 |
| Spend range | USD 300–399 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 15.53 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 32 (2020-09-25 → 2020-10-27) |
| Created | 2020-09-25 |
| 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 | list building survey |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | capitol statue |
| Call to action | sign petition |
| Standout element | Desaturated black-and-white close-up of McConnell against a dark red Capitol backdrop, casting him as villain |
| Tactic | The ad weaponizes the hypocrisy frame — using McConnell's own Merrick Garland precedent against him — to drive petition signatures and list-building through righteous anger. |
Where it ran (delivery by region)
| California | 11.7% |
| Florida | 8.2% |
| New York | 6.3% |
| Texas | 4.8% |
| Pennsylvania | 3.8% |
| Michigan | 3.8% |
| Illinois | 3.6% |
Who saw it (delivery)
| 25-34 · unknown | 0.0% |
| 65+ · male | 21.4% |
| 18-24 · female | 0.2% |
| 25-34 · male | 0.4% |
| 45-54 · unknown | 0.1% |
| 35-44 · female | 0.9% |
| 45-54 · male | 1.6% |
| 55-64 · female | 10.4% |
| 45-54 · female | 2.1% |
| 18-24 · male | 0.1% |
| 65+ · female | 54.7% |
| 25-34 · female | 0.6% |
| 55-64 · male | 6.1% |
| 55-64 · unknown | 0.2% |
| 65+ · unknown | 0.7% |
| 35-44 · male | 0.6% |
| 35-44 · unknown | 0.0% |
