Chris Coons US Inactive
CHRIS COONS FOR DELAWARE
Bipartisan lawmakers back carbon capture with new legislation
A bipartisan group of lawmakers is throwing its support behind a still-developing type of technology that seeks to capture carbon that’s released during activities such as burning fossil fuels to prevent it from going into the atmosphere.
Ad copy
As co-chair of the bipartisan Climate Solutions Caucus, I'm committed to writing legislation to combat the threat of climate change. Carbon capture will play a critical role in meeting our future climate goals.
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Performance proxies
| Overall score | 30.9/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 49.2 · 4.7 · 69.7 |
| Spend range | <USD 99 |
| Impressions | 6,000 – 6,999 |
| CPM (≈ $/1k impr) | USD 7.62 |
| Est. audience size | 5,001 – 10,000 |
| Days live | 18 (2021-04-15 → 2021-05-03) |
| Created | 2021-04-15 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | DE — Chris Coons |
| Surfaced by | “senate:Chris Coons” |
🧠 AI analysis
| Issue | energy environment |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | neutral |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | masked senator in formal attire in an official setting conveying sober legislative authority |
| Tactic | The ad leverages a news article from The Hill to borrow third-party credibility, positioning Coons as a serious bipartisan legislator on climate while the masked photo signals pandemic-era responsibility and institutional gravitas. |
Where it ran (delivery by region)
| Delaware | 40.7% |
| Pennsylvania | 7.0% |
| Florida | 3.9% |
| California | 3.9% |
| Maryland | 3.3% |
| New York | 3.1% |
| Texas | 2.7% |
Who saw it (delivery)
| 25-34 · unknown | 0.0% |
| 55-64 · male | 12.0% |
| 45-54 · male | 9.5% |
| 45-54 · female | 6.5% |
| 18-24 · male | 2.1% |
| 65+ · female | 18.3% |
| 25-34 · male | 7.9% |
| 25-34 · female | 3.1% |
| 65+ · male | 13.7% |
| 45-54 · unknown | 0.0% |
| 55-64 · female | 11.7% |
| 35-44 · female | 4.3% |
| 55-64 · unknown | 0.2% |
| 65+ · unknown | 0.1% |
| 35-44 · unknown | 0.3% |
| 18-24 · female | 1.0% |
| 35-44 · male | 9.2% |
