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
Car salesman Bernie Moreno made a fortune selling Chinese-made cars while Ohio workers were losing their jobs.
Car salesman Bernie Moreno made a fortune selling Chinese-made cars while Ohio workers were losing their jobs.
Car salesman Bernie Moreno made a fortune selling Chinese-made cars while Ohio workers were losing their jobs.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 59.0/100 |
| Spend / Reach / Long. / Eff. | 69.6 · 100.0 · 7.7 · 58.9 |
| Spend range | USD 30,000–34,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 32.5 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 29 (2024-06-14 → 2024-07-13) |
| Created | 2024-06-14 |
| Creative variants | 3 body · 3 headline |
| Platforms | facebook, instagram |
| Languages | — |
| 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 | semi pro |
| Who pictured | opponent, workers labor |
| Symbols | factory industry, money cash |
| Call to action | learn more |
| Standout element | High-contrast dark image of Moreno looming over a shuttered Ohio plant, with red 'LIED' text demanding attention |
| Tactic | Classic contrast attack using economic nationalism and betrayal framing — pairing a sinister opponent photo with a closed factory backdrop to trigger voter anger over Chinese competition and job loss. |
Where it ran (delivery by region)
| Ohio | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.9% |
| 25-34 · male | 4.2% |
| 25-34 · unknown | 0.0% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
| 65+ · unknown | 0.2% |
| 18-24 · male | 0.9% |
| 35-44 · unknown | 0.1% |
| 65+ · male | 11.2% |
| 25-34 · female | 3.8% |
| 55-64 · male | 10.4% |
| 45-54 · female | 10.0% |
| 35-44 · female | 8.2% |
| 45-54 · male | 10.1% |
| 35-44 · male | 8.8% |
| 65+ · female | 18.2% |
| 55-64 · female | 12.7% |
| 18-24 · unknown | 0.0% |
