Chris Coons US Inactive
CHRIS COONS FOR DELAWARE
Add your name now
Protect Social Security and Medicare
Ad copy
President Trump and Senate Republicans have made it crystal clear that they plan to cut Social Security and Medicare. Their first step was to pass massive tax cuts for the wealthy, then use the skyrocketing debt to justify slashing the budgets for Social Security and Medicare. Senator Chris Coons won't stand for it. Add your name to protect Social Security and Medicare from the GOP’s attacks >> https://bit.ly/37LQhnH
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 45.6/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 70.7 · 17.1 · 65.4 |
| Spend range | USD 700–799 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 13.63 |
| Est. audience size | — |
| Days live | 63 (2020-02-20 → 2020-04-23) |
| Created | 2020-02-19 |
| 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 | Dark, high-contrast black-and-white close-ups of McConnell and Trump flanking bold yellow warning text on black background |
| Tactic | The ad uses fear of entitlement cuts to drive petition signatures, framing GOP opponents as active threats while positioning Coons as a defender without showing him — a classic list-building attack tactic. |
Where it ran (delivery by region)
| Delaware | 100.0% |
Who saw it (delivery)
| 35-44 · unknown | 0.0% |
| 18-24 · male | 0.8% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.3% |
| 55-64 · unknown | 0.2% |
| 18-24 · female | 0.9% |
| 25-34 · female | 2.1% |
| 35-44 · male | 2.4% |
| 35-44 · female | 2.6% |
| 25-34 · unknown | 0.0% |
| 45-54 · female | 7.8% |
| 55-64 · female | 19.3% |
| 55-64 · male | 10.9% |
| 65+ · male | 15.1% |
| 45-54 · male | 4.7% |
| 65+ · female | 31.0% |
| 25-34 · male | 1.7% |
| 18-24 · unknown | 0.0% |
