Chris Coons US Inactive
CHRIS COONS FOR DELAWARE
Democrats push to strengthen stimulus oversight in next round of coronavirus legislation
A group of Democrats seeking stronger oversight of coronavirus relief programs is introducing a new bill to force companies to report how they're using the funds.
Ad copy
I'm working with Senator Elizabeth Warren to ensure that the trillions of dollars Congress has invested in our economy goes to the families, communities, and businesses who need it - not just those with the most political influence. We're determined to hold the Trump Administration accountable and empower inspectors general to conduct real oversight.
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Performance proxies
| Overall score | 44.1/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 73.9 · 6.6 · 70.0 |
| Spend range | USD 500–599 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 7.33 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 25 (2020-05-21 → 2020-06-15) |
| Created | 2020-05-21 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | DE — Chris Coons |
| Surfaced by | “senate:Chris Coons” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | Dramatic low-lit portrait of Elizabeth Warren in purple conveying authority and determination |
| Tactic | Borrows ABC News credibility to lend legitimacy to the oversight narrative while using Warren's prominent profile to signal coalition strength and accountability against the Trump Administration. |
Where it ran (delivery by region)
| Delaware | 11.0% |
| California | 9.0% |
| Florida | 7.0% |
| New York | 5.3% |
| Pennsylvania | 4.8% |
| Texas | 4.3% |
| Michigan | 3.9% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 25-34 · male | 0.6% |
| 18-24 · female | 0.3% |
| 65+ · unknown | 0.5% |
| 35-44 · female | 1.2% |
| 35-44 · male | 1.0% |
| 65+ · male | 19.3% |
| 55-64 · male | 8.8% |
| 45-54 · female | 3.7% |
| 18-24 · unknown | 0.0% |
| 65+ · female | 45.7% |
| 18-24 · male | 0.2% |
| 55-64 · female | 14.8% |
| 45-54 · male | 2.7% |
| 25-34 · female | 0.8% |
| 25-34 · unknown | 0.0% |
| 35-44 · unknown | 0.0% |
| 55-64 · unknown | 0.2% |
