Chris Coons US Inactive
CHRIS COONS FOR DELAWARE
Protect the Supreme Court
Sign The Petition >>
Ad copy
President Donald Trump wants to rush in Justice Ginsburg's replacement-- after he supported blocking President Obama's nomination of Merrick Garland, citing the proximity of the upcoming presidential election. This is the height of hypocrisy. Republicans set the precedent then, and we need your help to ensure he follows it now. Demand Donald Trump not rush through her replacement before the presidential inauguration >> https://bit.ly/3cytpfr
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 41.6/100 |
| Spend / Reach / Long. / Eff. | 27.6 · 66.9 · 8.5 · 63.6 |
| Spend range | USD 600–699 |
| Impressions | 35,000 – 39,999 |
| CPM (≈ $/1k impr) | USD 17.32 |
| 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 close-up of Trump looming over a red-tinted Supreme Court building with bold gold-on-black demand text |
| Tactic | Uses hypocrisy framing — invoking Trump's own Merrick Garland precedent — paired with an ominous opponent portrait and urgent petition CTA to convert outrage into list-building sign-ups. |
Where it ran (delivery by region)
| California | 11.7% |
| Florida | 8.3% |
| New York | 6.5% |
| Texas | 4.6% |
| Pennsylvania | 4.2% |
| Illinois | 3.8% |
| Washington | 3.7% |
Who saw it (delivery)
| 35-44 · unknown | 0.0% |
| 45-54 · male | 1.5% |
| 35-44 · male | 0.6% |
| 55-64 · male | 5.7% |
| 65+ · male | 21.0% |
| 65+ · female | 55.3% |
| 55-64 · female | 10.7% |
| 45-54 · female | 2.3% |
| 35-44 · female | 0.9% |
| 18-24 · male | 0.1% |
| 65+ · unknown | 0.6% |
| 25-34 · male | 0.3% |
| 25-34 · unknown | 0.0% |
| 25-34 · female | 0.6% |
| 18-24 · female | 0.2% |
| 45-54 · unknown | 0.0% |
| 55-64 · unknown | 0.2% |
