Chris Coons US Inactive
CHRIS COONS FOR DELAWARE
Sign the petition now
Lower the cost of prescription drugs
Ad copy
Everybody knows the price of prescription drugs is out of control, yet Mitch McConnell and Senate Republicans refuse to act. Senator Chris Coons is fighting to lower the price of prescription drugs, but he needs your help to build support. Join Chris Coons in calling on Mitch McConnell to pass legislation to lower the cost of prescription drugs >> https://bit.ly/38J9cky
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 45.4/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 69.3 · 17.1 · 60.4 |
| Spend range | USD 1,000–1,499 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 26.31 |
| 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 | healthcare |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | healthcare |
| Call to action | sign petition |
| Standout element | High-contrast desaturated close-up of Mitch McConnell's face in deep crimson, cast as the villain blocking drug price relief |
| Tactic | Classic pressure-petition tactic: villain-frames McConnell with an unflattering photo and urgent red palette to convert outrage into petition signatures and list-building for Coons. |
Where it ran (delivery by region)
| California | 11.5% |
| Florida | 7.3% |
| New York | 6.9% |
| Pennsylvania | 5.0% |
| Texas | 4.6% |
| Michigan | 4.4% |
| Ohio | 4.3% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 25-34 · female | 2.7% |
| 25-34 · unknown | 0.1% |
| 55-64 · unknown | 0.2% |
| 18-24 · male | 0.5% |
| 18-24 · female | 0.9% |
| 35-44 · male | 2.3% |
| 65+ · unknown | 0.4% |
| 35-44 · female | 3.5% |
| 65+ · female | 35.3% |
| 45-54 · male | 4.1% |
| 45-54 · female | 6.3% |
| 25-34 · male | 1.7% |
| 55-64 · male | 9.2% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 16.6% |
| 65+ · male | 16.0% |
| 35-44 · unknown | 0.1% |
