Chris Coons US Inactive
CHRIS COONS FOR DELAWARE
Add your name now
Protect Social Security and Medicare
Ad copy
President Trump’s budget proposal would SLASH Social Security and Medicare to pay for their tax break for the top 1 percent. Senator Chris Coons won’t stand for it. It’s up to us to make sure these programs remain strong for generations to come. Add your name to protect Social Security and Medicare from the Trump administration’s attacks >> https://bit.ly/30j5mey
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 46.4/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 75.1 · 9.9 · 62.3 |
| Spend range | USD 1,500–1,999 |
| Impressions | 80,000 – 89,999 |
| CPM (≈ $/1k impr) | USD 20.58 |
| Est. audience size | — |
| Days live | 37 (2020-01-13 → 2020-02-19) |
| Created | 2020-01-13 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | DE — Chris Coons |
| Surfaced by | “senate:Chris Coons” |
🧠 AI analysis
| Issue | social security medicare |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | sign petition |
| Standout element | desaturated close-up of Trump mid-speech with red overlay creating an ominous, threatening portrait |
| Tactic | Uses fear-based contrast framing — a menacing image of Trump paired with a direct threat to earned benefits — to drive petition signatures and list-building by positioning Coons as the defender of Social Security and Medicare. |
Where it ran (delivery by region)
| California | 9.1% |
| New York | 7.2% |
| Florida | 6.9% |
| Pennsylvania | 5.2% |
| Texas | 5.1% |
| Ohio | 5.1% |
| Michigan | 4.6% |
Who saw it (delivery)
| 35-44 · unknown | 0.0% |
| 25-34 · male | 1.3% |
| 45-54 · unknown | 0.1% |
| 18-24 · unknown | 0.0% |
| 55-64 · unknown | 0.2% |
| 65+ · unknown | 0.3% |
| 18-24 · female | 0.8% |
| 18-24 · male | 0.6% |
| 25-34 · female | 1.5% |
| 65+ · female | 39.4% |
| 55-64 · male | 10.3% |
| 55-64 · female | 17.0% |
| 35-44 · female | 1.7% |
| 45-54 · male | 3.9% |
| 45-54 · female | 4.7% |
| 65+ · male | 16.5% |
| 35-44 · male | 1.6% |
| 25-34 · unknown | 0.0% |
