Chris Coons US Inactive
CHRIS COONS FOR DELAWARE
Ad copy
This weekend I joined the annual Civil Rights Pilgrimage to Alabama, where we visited some of the most important landmarks from our nation's civil rights movement, including the Edmund Pettis Bridge in Selma, where, 55 years ago, my friend John Lewis bravely led marchers advocating for civil rights on a day that became known as Bloody Sunday. John reminded us this weekend that the march for civil rights and equality that he helped lead 55 years ago is still unfinished.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 42.1/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 72.4 · 1.9 · 70.4 |
| Spend range | USD 400–499 |
| Impressions | 60,000 – 69,999 |
| CPM (≈ $/1k impr) | USD 6.92 |
| Est. audience size | — |
| Days live | 8 (2020-03-09 → 2020-03-17) |
| Created | 2020-03-09 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | DE — Chris Coons |
| Surfaced by | “senate:Chris Coons” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate, diverse crowd |
| Symbols | none |
| Call to action | none |
| Standout element | Candidate standing in foreground at the iconic Edmund Pettus Bridge with a bipartisan crowd behind him, evoking the historic Bloody Sunday march |
| Tactic | The ad leverages historical gravitas and personal association with civil rights icon John Lewis to build emotional credibility and moral authority for Coons without making any explicit policy ask. |
Where it ran (delivery by region)
| Delaware | 11.6% |
| California | 8.9% |
| Florida | 6.8% |
| New York | 5.9% |
| Pennsylvania | 4.5% |
| Virginia | 3.5% |
| Texas | 3.5% |
Who saw it (delivery)
| 65+ · male | 21.6% |
| 35-44 · female | 2.6% |
| 18-24 · female | 0.4% |
| 65+ · unknown | 0.7% |
| 45-54 · unknown | 0.1% |
| 25-34 · male | 1.6% |
| 35-44 · male | 2.6% |
| 35-44 · unknown | 0.0% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 9.7% |
| 18-24 · male | 0.4% |
| 45-54 · female | 4.8% |
| 25-34 · female | 1.3% |
| 45-54 · male | 4.5% |
| 65+ · female | 36.7% |
| 55-64 · female | 12.7% |
| 25-34 · unknown | 0.0% |
