Sherrod Brown US Inactive
FRIENDS OF SHERROD BROWN
Bernie Moreno Ripped Them Off
Bernie Moreno Ripped Them Off
Ad copy
Bernie Moreno isn’t looking out for working people. A judge made him pay back hundreds of thousands of dollars to his employees after he stole their overtime.
Bernie Moreno isn’t looking out for working people. A judge made him pay back hundreds of thousands of dollars to his employees after he stole their overtime.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 50.8/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 87.0 · 5.2 · 67.7 |
| Spend range | USD 2,500–2,999 |
| Impressions | 250,000 – 299,999 |
| CPM (≈ $/1k impr) | USD 10.0 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 20 (2024-07-17 → 2024-08-06) |
| Created | 2024-07-17 |
| Creative variants | 2 body · 2 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 | workers labor |
| Symbols | none |
| Call to action | learn more |
| Standout element | Dark, shadowy close-up of Moreno with stacked red-and-white news quote callouts accusing him of wage theft and evidence destruction |
| Tactic | The ad uses a trifecta of damning news quotes layered over an ominous portrait of the opponent to cement a narrative of criminal dishonesty toward workers, closing with a direct trust-destruction message aimed at labor-minded Ohio voters. |
Where it ran (delivery by region)
| Ohio | 100.0% |
Who saw it (delivery)
| 55-64 · unknown | 0.1% |
| 45-54 · male | 13.3% |
| 65+ · female | 4.1% |
| 65+ · unknown | 0.1% |
| 25-34 · male | 21.2% |
| 18-24 · female | 0.6% |
| 55-64 · male | 12.0% |
| 35-44 · male | 22.1% |
| 45-54 · female | 2.3% |
| 45-54 · unknown | 0.1% |
| 65+ · male | 12.1% |
| 18-24 · male | 4.1% |
| 55-64 · female | 3.3% |
| 35-44 · unknown | 0.2% |
| 35-44 · female | 2.1% |
| 25-34 · female | 1.9% |
| 25-34 · unknown | 0.2% |
| 18-24 · unknown | 0.1% |
