Chris Coons US Inactive
CHRIS COONS FOR DELAWARE
Democrats unveil efforts to protect low-income Americans, in latest rebuke to Trump
"Congress must be willing to use every tool in the box to save and improve our critical lifeline programs," one congressman said.
Ad copy
The Trump Administration is trying to cut safety net programs like SNAP that make all the difference for many American families. I introduced a bill today with Senator Sherrod Brown to make sure we protect these programs and help American families in need access them.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.6/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 73.9 · 3.6 · 67.7 |
| Spend range | USD 700–799 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 9.99 |
| Est. audience size | — |
| Days live | 14 (2020-02-11 → 2020-02-25) |
| Created | 2020-02-11 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | DE — Chris Coons |
| Surfaced by | “senate:Chris Coons” |
🧠 AI analysis
| Issue | social security medicare |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | none |
| Standout element | Large photo of Trump gesturing dominantly paired with NBC News credibility banner to frame him as the threat |
| Tactic | The ad uses a real NBC News headline as borrowed credibility to legitimize the attack on Trump's SNAP cuts, positioning Coons as a defender of vulnerable families without requiring viewers to take the candidate's word alone. |
Where it ran (delivery by region)
| Delaware | 11.7% |
| California | 7.9% |
| Florida | 6.7% |
| Pennsylvania | 5.2% |
| New York | 5.2% |
| Texas | 4.6% |
| Michigan | 4.1% |
Who saw it (delivery)
| 65+ · female | 45.7% |
| 25-34 · female | 0.7% |
| 35-44 · unknown | 0.0% |
| 25-34 · unknown | 0.0% |
| 55-64 · unknown | 0.1% |
| 18-24 · female | 0.3% |
| 65+ · unknown | 0.4% |
| 18-24 · male | 0.3% |
| 25-34 · male | 0.7% |
| 45-54 · male | 2.7% |
| 35-44 · female | 1.0% |
| 35-44 · male | 1.0% |
| 45-54 · female | 3.0% |
| 55-64 · female | 14.6% |
| 55-64 · male | 9.1% |
| 65+ · male | 20.4% |
| 45-54 · unknown | 0.0% |
