Chris Coons US Inactive
Chris Coons for Delaware
Trump downplays the time he said he’d take help from foreign actors offering dirt on 2020 Dems
"I think I’d take it."
Ad copy
Last week, President Trump said he would be willing to accept political dirt from foreign intelligence services, and he wouldn’t necessarily alert the FBI, either. When I asked Attorney General Barr whether campaigns should report this information to the FBI, he hesitated before responding “yes.” This wasn’t meant to be a difficult question -- foreign interference doesn’t belong in our elections. https://www.vox.com/policy-and-politics/2019/6/12/18663543/trump-abc-interview-prince-of-whales-2020-george-stephanopoulos
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.5/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 66.9 · 4.7 · 64.8 |
| Spend range | USD 500–599 |
| Impressions | 35,000 – 39,999 |
| CPM (≈ $/1k impr) | USD 14.65 |
| Est. audience size | — |
| Days live | 18 (2019-07-08 → 2019-07-26) |
| Created | 2019-07-08 |
| Creative variants | 1 body · 1 headline |
| Platforms | — |
| Languages | en |
| Candidate | DE — Chris Coons |
| Surfaced by | “senate:Chris Coons” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | us flag |
| Call to action | none |
| Standout element | Unflattering close-up of Trump with heavy shadowing lending a menacing tone, paired with a Vox news screenshot for credibility |
| Tactic | The ad leverages a damning news article and a senator's firsthand Senate floor confrontation to frame Trump and Barr as threats to democratic elections, using fear of foreign interference as the core persuasion lever. |
Where it ran (delivery by region)
| California | 10.1% |
| Florida | 7.0% |
| New York | 6.4% |
| Texas | 4.4% |
| Michigan | 4.1% |
| Pennsylvania | 4.0% |
| Delaware | 3.8% |
Who saw it (delivery)
| 25-34 · unknown | 0.0% |
| 35-44 · female | 1.4% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 25-34 · male | 0.8% |
| 55-64 · unknown | 0.3% |
| 18-24 · female | 0.3% |
| 45-54 · male | 3.5% |
| 65+ · male | 20.6% |
| 25-34 · female | 0.8% |
| 65+ · unknown | 0.6% |
| 45-54 · female | 4.1% |
| 55-64 · male | 9.5% |
| 55-64 · female | 14.9% |
| 35-44 · male | 1.4% |
| 65+ · female | 41.3% |
| 18-24 · unknown | 0.0% |
