Chris Coons US Inactive
CHRIS COONS FOR DELAWARE
Carper, Coons urge Trump reopened Obamacare enrollment
In light of the ongoing outbreak of novel coronavirus disease, or COVID-19, and in an effort to ensure more Americans have access to affordable health
Ad copy
I'm calling on President Trump to allow for a special enrollment period under the Affordable Care Act to allow more Americans, including Delawareans, to sign up for coverage and help mitigate the spread of COVID-19. http://bit.ly/3aYGEnS
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.2/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 80.0 · 5.8 · 68.4 |
| Spend range | USD 1,000–1,499 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 9.09 |
| Est. audience size | — |
| Days live | 22 (2020-03-17 → 2020-04-08) |
| Created | 2020-03-17 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | DE — Chris Coons |
| Surfaced by | “senate:Chris Coons” |
🧠 AI analysis
| Issue | healthcare |
| Framing | issue advocacy |
| Message type | awareness |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | learn more |
| Standout element | Dover Post newspaper masthead lending local media credibility to the healthcare advocacy message |
| Tactic | The ad borrows credibility from a local Delaware newspaper headline to validate Coons's call for ACA special enrollment, framing the candidate as a health-access champion during the COVID-19 crisis. |
Where it ran (delivery by region)
| Delaware | 13.2% |
| California | 8.4% |
| Florida | 6.4% |
| New York | 5.4% |
| Pennsylvania | 5.2% |
| Texas | 4.2% |
| Ohio | 3.7% |
Who saw it (delivery)
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.7% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.5% |
| 35-44 · male | 1.0% |
| 18-24 · male | 0.2% |
| 25-34 · female | 0.9% |
| 45-54 · male | 2.5% |
| 18-24 · female | 0.3% |
| 18-24 · unknown | 0.0% |
| 35-44 · female | 1.4% |
| 45-54 · female | 4.1% |
| 55-64 · unknown | 0.2% |
| 65+ · male | 17.0% |
| 55-64 · male | 8.3% |
| 65+ · female | 47.3% |
| 55-64 · female | 15.4% |
| 35-44 · unknown | 0.0% |
