Sherrod Brown US Inactive
FRIENDS OF SHERROD BROWN
Ohio Workers Can’t Trust Moreno
Ohio Workers Can’t Trust Moreno
Ohio Workers Can’t Trust Moreno
Ad copy
Bernie Moreno ripped off his employees and was found liable in court. Ohio workers can’t trust him in the Senate.
Bernie Moreno ripped off his employees and was found liable in court. Ohio workers can’t trust him in the Senate.
Bernie Moreno ripped off his employees and was found liable in court. Ohio workers can’t trust him in the Senate.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 60.2/100 |
| Spend / Reach / Long. / Eff. | 72.5 · 100.0 · 11.3 · 56.9 |
| Spend range | USD 40,000–44,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 42.5 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 42 (2024-08-13 → 2024-09-24) |
| Created | 2024-08-13 |
| Creative variants | 3 body · 3 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | OH — Sherrod Brown |
| Surfaced by | “senate:Sherrod Brown” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | professional |
| Who pictured | opponent |
| Symbols | none |
| Call to action | learn more |
| Standout element | Dark desaturated close-up of Moreno overlaid with a bold red news-citation banner accusing him of wage theft |
| Tactic | The ad uses a damning court record as borrowed credibility, pairing a menacing photo treatment with a punchy two-line indictment to trigger distrust and reinforce a worker-betrayal narrative against Moreno. |
Where it ran (delivery by region)
| Ohio | 100.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 55-64 · female | 15.1% |
| 35-44 · unknown | 0.1% |
| 25-34 · unknown | 0.0% |
| 18-24 · male | 1.0% |
| 35-44 · male | 5.9% |
| 65+ · unknown | 0.2% |
| 18-24 · female | 1.5% |
| 55-64 · male | 7.6% |
| 45-54 · unknown | 0.1% |
| 25-34 · male | 3.7% |
| 65+ · male | 8.4% |
| 65+ · female | 21.9% |
| 35-44 · female | 9.7% |
| 45-54 · male | 7.3% |
| 45-54 · female | 11.8% |
| 25-34 · female | 5.5% |
| 55-64 · unknown | 0.1% |
