Chris Coons US Inactive
Chris Coons for Delaware
Add your name now
Stand up to the NRA
Ad copy
The House passed a bipartisan background check bill over 150 days ago, and it's been sitting on Senate Majority Leader Mitch McConnell's desk ever since. Tell President Trump and Mitch McConnell to stand up to the NRA and pass common-sense gun safety reform once and for all. Add your name today >> https://bit.ly/2lIlMNk
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.9/100 |
| Spend / Reach / Long. / Eff. | 30.5 · 61.7 · 5.8 · 57.7 |
| Spend range | USD 800–899 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 37.76 |
| Est. audience size | — |
| Days live | 22 (2019-09-16 → 2019-10-08) |
| Created | 2019-09-16 |
| Creative variants | 1 body · 1 headline |
| Platforms | — |
| Languages | en |
| Candidate | DE — Chris Coons |
| Surfaced by | “senate:Chris Coons” |
🧠 AI analysis
| Issue | guns |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | eagle, guns 2a, us flag |
| Call to action | sign petition |
| Standout element | Red-tinted unflattering close-up of Trump's face overlaid with a black gun silhouette and NRA eagle logo in high-contrast split composition |
| Tactic | The ad uses a darkened, ominous image of Trump juxtaposed with a gun silhouette to channel voter anger toward opponents of gun reform, driving petition signatures as list-building via emotional pressure framing. |
Where it ran (delivery by region)
| California | 10.3% |
| Florida | 7.2% |
| New York | 7.0% |
| Texas | 5.7% |
| Pennsylvania | 4.9% |
| Michigan | 4.7% |
| Ohio | 4.3% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 45-54 · male | 3.0% |
| 35-44 · unknown | 0.1% |
| 25-34 · male | 0.7% |
| 55-64 · unknown | 0.3% |
| 25-34 · female | 0.8% |
| 35-44 · male | 1.3% |
| 18-24 · female | 0.3% |
| 45-54 · female | 5.6% |
| 18-24 · male | 0.1% |
| 65+ · male | 13.5% |
| 65+ · unknown | 0.5% |
| 65+ · female | 43.8% |
| 55-64 · male | 8.0% |
| 35-44 · female | 1.9% |
| 55-64 · female | 20.0% |
| 45-54 · unknown | 0.1% |
| 25-34 · unknown | 0.0% |
