Chris Coons US Inactive
CHRIS COONS FOR DELAWARE
Take the poll now
Secure our elections
Ad copy
Make no mistake: Russia interfered in our elections in 2016, and they're planning to do it again, but this time they won't be alone. Senator Chris Coons helped secure $250 million in election security threats to prepare for 2020. But Chris wants to hear from you: Should the government take action to secure our elections before next November? Take the poll >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 39.4/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 63.8 · 4.4 · 60.2 |
| Spend range | USD 700–799 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 27.26 |
| Est. audience size | — |
| Days live | 17 (2019-12-14 → 2019-12-31) |
| Created | 2019-12-13 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | DE — Chris Coons |
| Surfaced by | “senate:Chris Coons” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | issue advocacy |
| Message type | list building survey |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | us flag |
| Call to action | survey poll |
| Standout element | Dark, desaturated American flag background with bright blue-bordered question box creating urgent contrast |
| Tactic | Uses fear of Russian election interference to drive poll engagement, disguising list-building as civic participation while credentializing Coons with a $250M funding claim. |
Where it ran (delivery by region)
| California | 9.2% |
| Florida | 6.8% |
| Texas | 5.4% |
| Michigan | 5.2% |
| Pennsylvania | 4.9% |
| New York | 4.5% |
| Ohio | 4.2% |
Who saw it (delivery)
| 45-54 · unknown | 0.0% |
| 45-54 · male | 2.1% |
| 55-64 · unknown | 0.2% |
| 35-44 · female | 0.9% |
| 18-24 · female | 0.3% |
| 25-34 · female | 0.7% |
| 35-44 · male | 0.9% |
| 65+ · unknown | 0.5% |
| 45-54 · female | 3.1% |
| 18-24 · unknown | 0.0% |
| 25-34 · male | 0.7% |
| 55-64 · male | 8.1% |
| 55-64 · female | 17.0% |
| 65+ · female | 47.2% |
| 65+ · male | 17.9% |
| 35-44 · unknown | 0.0% |
| 18-24 · male | 0.4% |
