Sherrod Brown US Inactive
FRIENDS OF SHERROD BROWN
Senators Sherrod Brown and J.D. Vance introduce Railway Safety Act
The bipartisan bill would enhance safety procedures for trains carrying hazardous materials, increase rail inspections and reduce the risk of wheel bearing failures, among other measures.
Ad copy
When we let greedy corporations like Norfolk Southern put profits ahead of our communities, Ohio workers and their families always pay the price. The bipartisan Railway Safety Act will help prevent tragedies like the East Palestine derailment.
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Performance proxies
| Overall score | 62.9/100 |
| Spend / Reach / Long. / Eff. | 75.3 · 100.0 · 21.2 · 54.9 |
| Spend range | USD 50,000–59,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 55.0 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 78 (2023-12-20 → 2024-03-07) |
| Created | 2023-12-20 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | OH — Sherrod Brown |
| Surfaced by | “senate:Sherrod Brown” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | factory industry |
| Call to action | learn more |
| Standout element | Aerial photo of freight train cars winding through a bleak, bare-treed East Palestine neighborhood conveying industrial danger |
| Tactic | Leverages the visceral imagery of the East Palestine derailment and a news article co-authored with J.D. Vance to establish bipartisan credibility while casting corporate greed as the villain threatening Ohio workers. |
Where it ran (delivery by region)
| Ohio | 100.0% |
| Texas | 0.0% |
| England | 0.0% |
| New York | 0.0% |
| Pennsylvania | 0.0% |
| Kentucky | 0.0% |
| Tennessee | 0.0% |
Who saw it (delivery)
| 65+ · unknown | 0.1% |
| 45-54 · female | 8.1% |
| 35-44 · female | 12.9% |
| 25-34 · male | 14.3% |
| 18-24 · female | 7.9% |
| 55-64 · female | 5.6% |
| 45-54 · male | 5.6% |
| 25-34 · female | 17.5% |
| 35-44 · male | 9.1% |
| 35-44 · unknown | 0.2% |
| 18-24 · male | 6.8% |
| 65+ · male | 2.8% |
| 55-64 · male | 3.6% |
| 65+ · female | 5.2% |
| 18-24 · unknown | 0.2% |
| 25-34 · unknown | 0.2% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
