Sherrod Brown US Inactive
FRIENDS OF SHERROD BROWN
Supporting Ohio Law Enforcement
Supporting Ohio Law Enforcement
Ad copy
Ohio law enforcement officers know who has their back in the fight against the opioid epidemic. Sherrod Brown sponsored the law signed by President Trump to take on drug traffickers and keep Ohio safe.
Ohio law enforcement officers know who has their back in the fight against the opioid epidemic. Sherrod Brown sponsored the law signed by President Trump to take on drug traffickers and keep Ohio safe.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 58.1/100 |
| Spend / Reach / Long. / Eff. | 59.4 · 98.4 · 9.9 · 64.8 |
| Spend range | USD 10,000–14,999 |
| Impressions | 800,000 – 899,999 |
| CPM (≈ $/1k impr) | USD 14.71 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 37 (2024-05-23 → 2024-06-29) |
| Created | 2024-05-23 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | OH — Sherrod Brown |
| Surfaced by | “senate:Sherrod Brown” |
🧠 AI analysis
| Issue | crime safety |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | professional |
| Who pictured | candidate, police |
| Symbols | none |
| Call to action | learn more |
| Standout element | Candidate flanked by uniformed police officers in the snow with a Tribune headline overlay citing bipartisan legislative achievement |
| Tactic | The ad uses bipartisan credibility — invoking Trump signing Brown's bill — combined with law enforcement imagery to appeal to moderate and conservative Ohio voters by positioning Brown as a tough-on-crime, results-driven legislator who crosses party lines. |
Where it ran (delivery by region)
| Ohio | 100.0% |
| Unknown | 0.0% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 18-24 · male | 1.1% |
| 55-64 · unknown | 0.1% |
| 65+ · unknown | 0.2% |
| 18-24 · female | 1.0% |
| 35-44 · male | 7.5% |
| 35-44 · female | 6.2% |
| 25-34 · male | 3.7% |
| 45-54 · male | 9.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 8.4% |
| 65+ · male | 13.6% |
| 25-34 · unknown | 0.0% |
| 65+ · female | 21.0% |
| 55-64 · male | 11.2% |
| 55-64 · female | 13.4% |
| 25-34 · female | 3.2% |
| 18-24 · unknown | 0.0% |
