CHRIS COONS FOR DELAWARE
Justice Ginsburg’s fight was a relentless, tireless effort for justice. It’d be easy to mistake--- based on her diminutive frame and soft voice--- the ferocity of her commitment to justice. She was a trailblazer, and in the law of equality and equity, a towering figure. … As we look forward to this year, and the challenges of this moment, 42 days from a presidential election--- when half the states have begun voting--- let me just say this: It was Justice Ginsburg’s dying wish--- dictated by her granddaughter—that the voters would decide the next president, and the next president would decide the next Justice. We must honor her wish. #NotoriousRBG #RestInPeaceAndPower #Vote
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| Overall score | 38.4/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 65.4 · 2.8 · 73.5 |
| Spend range | USD 100–199 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 4.6 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 11 (2020-09-25 → 2020-10-06) |
| Created | 2020-09-25 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | DE — Chris Coons |
| Surfaced by | “senate:Chris Coons” |
| Issue | democracy elections |
| Framing | issue advocacy |
| Message type | awareness |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate, diverse crowd |
| Symbols | none |
| Call to action | none |
| Standout element | Candidate speaking through bullhorn outside a justice center, invoking RBG's dying wish as a rallying call |
| Tactic | The ad leverages RBG's legacy and her reported dying wish to build emotional urgency around the Supreme Court vacancy and the importance of voters deciding the next president, blending tribute with thinly veiled political mobilization. |
| Delaware | 29.6% |
| California | 7.2% |
| New York | 4.9% |
| Pennsylvania | 4.9% |
| Florida | 4.4% |
| Virginia | 3.0% |
| Illinois | 2.3% |
| 18-24 · unknown | 0.0% |
| 65+ · male | 13.8% |
| 55-64 · unknown | 0.3% |
| 65+ · unknown | 0.3% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 3.9% |
| 55-64 · male | 10.0% |
| 55-64 · female | 13.1% |
| 45-54 · male | 7.7% |
| 35-44 · unknown | 0.2% |
| 35-44 · female | 8.0% |
| 18-24 · male | 0.7% |
| 65+ · female | 21.9% |
| 35-44 · male | 6.3% |
| 25-34 · female | 3.9% |
| 45-54 · female | 8.6% |
| 45-54 · unknown | 0.1% |
| 18-24 · female | 0.8% |