Sherrod Brown US Inactive
FRIENDS OF SHERROD BROWN
New Law to Fight Fentanyl
New Law to Fight Fentanyl
Ad copy
To stop fentanyl from getting into our communities, we have to stop it at the border. Sherrod Brown wrote the law to give law enforcement the resources they need to go after Chinese suppliers and Mexican cartels.
To stop fentanyl from getting into our communities, we have to stop it at the border. Sherrod Brown wrote the law to give law enforcement the resources they need to go after Chinese suppliers and Mexican cartels.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 57.1/100 |
| Spend / Reach / Long. / Eff. | 55.2 · 98.4 · 6.9 · 67.7 |
| Spend range | USD 8,000–8,999 |
| Impressions | 800,000 – 899,999 |
| CPM (≈ $/1k impr) | USD 10.0 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 26 (2024-07-12 → 2024-08-07) |
| Created | 2024-07-12 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| 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 | semi pro |
| Who pictured | candidate, police |
| Symbols | none |
| Call to action | learn more |
| Standout element | Candidate shown in close consultation with a sheriff against a dark industrial backdrop with bold red legislative branding |
| Tactic | Borrows editorial credibility from The Marietta Times while pairing Brown with law enforcement to cement his tough-on-fentanyl bona fides for swing voters. |
Where it ran (delivery by region)
| Ohio | 100.0% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 45-54 · female | 9.9% |
| 18-24 · male | 0.8% |
| 45-54 · male | 7.7% |
| 65+ · male | 11.8% |
| 65+ · female | 21.2% |
| 35-44 · male | 6.8% |
| 55-64 · male | 9.0% |
| 55-64 · female | 13.5% |
| 55-64 · unknown | 0.1% |
| 35-44 · female | 8.8% |
| 25-34 · female | 4.8% |
| 25-34 · male | 3.8% |
| 18-24 · female | 1.3% |
| 65+ · unknown | 0.2% |
| 18-24 · unknown | 0.0% |
| 25-34 · unknown | 0.0% |
| 45-54 · unknown | 0.1% |
