Chris Coons US Inactive
CHRIS COONS FOR DELAWARE
Sign on now
Sign on in support of voting by mail.
Ad copy
Senator Chris Coons is fighting to expand no-excuse vote by mail, early voting, and online voter registration so that no one will have to risk their lives, or the lives of others, to exercise their constitutional right to vote. If you support voting by mail, then sign your name now >> https://bit.ly/34ZdfYN
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.2/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 68.1 · 1.7 · 67.3 |
| Spend range | USD 400–499 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 10.58 |
| Est. audience size | — |
| Days live | 7 (2020-04-23 → 2020-04-30) |
| Created | 2020-04-23 |
| 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 | urgency |
| Production tier | professional |
| Who pictured | none |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Bold red banner bursting from a stylized mailbox with urgent italic typography demanding action |
| Tactic | The ad uses a petition-style list-building tactic, converting issue agreement ('I support voting by mail') into a signature that captures supporter data while building grassroots momentum around mail voting expansion. |
Where it ran (delivery by region)
| California | 11.2% |
| Florida | 7.3% |
| New York | 7.2% |
| Texas | 5.6% |
| Pennsylvania | 4.9% |
| Michigan | 4.6% |
| Illinois | 4.4% |
Who saw it (delivery)
| 65+ · female | 46.6% |
| 45-54 · male | 2.7% |
| 18-24 · male | 0.2% |
| 45-54 · unknown | 0.1% |
| 35-44 · unknown | 0.0% |
| 25-34 · male | 0.6% |
| 55-64 · unknown | 0.2% |
| 65+ · unknown | 0.6% |
| 35-44 · male | 0.9% |
| 55-64 · female | 16.2% |
| 25-34 · female | 0.8% |
| 18-24 · female | 0.3% |
| 55-64 · male | 7.9% |
| 45-54 · female | 4.4% |
| 65+ · male | 17.4% |
| 35-44 · female | 1.2% |
| 25-34 · unknown | 0.0% |
