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/39NhHuX
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 42.8/100 |
| Spend / Reach / Long. / Eff. | 31.7 · 63.8 · 17.1 · 58.4 |
| Spend range | USD 900–999 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 34.53 |
| 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 | none |
| Call to action | sign petition |
| Standout element | High-contrast desaturated red-tinted close-up of McConnell's face used as a menacing foil for the urgent RX demand |
| Tactic | Classic pressure-petition tactic that uses a villainized opponent portrait to drive list-building signups while framing Coons as the fighting advocate. |
Where it ran (delivery by region)
| California | 11.7% |
| Florida | 7.8% |
| New York | 6.5% |
| Pennsylvania | 4.5% |
| Texas | 4.4% |
| Michigan | 4.1% |
| Washington | 3.9% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.7% |
| 18-24 · female | 0.2% |
| 35-44 · male | 0.6% |
| 25-34 · male | 0.3% |
| 25-34 · female | 0.6% |
| 18-24 · male | 0.1% |
| 45-54 · male | 1.6% |
| 45-54 · female | 2.4% |
| 35-44 · unknown | 0.0% |
| 35-44 · female | 1.0% |
| 55-64 · male | 6.3% |
| 65+ · male | 22.0% |
| 65+ · female | 52.2% |
| 55-64 · female | 11.6% |
| 25-34 · unknown | 0.0% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
