Sherrod Brown US Inactive
FRIENDS OF SHERROD BROWN
U.S. Senate votes to curb farmland purchases by China, Iran, North Korea, Russia - Ohio Capital Journal
U.S. senators approved bipartisan amendments to the annual defense policy bill Tuesday night that would prohibit China, Iran, North Korea and Russia from purchasing U.S. farmland and screen American investment in high-tech ventures on foreign adversary soil.
Ad copy
U.S. adversaries should not be able to buy American farmland — simple as that. I'm fighting to make sure they can't.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 52.7/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 88.7 · 10.7 · 70.4 |
| Spend range | USD 2,000–2,499 |
| Impressions | 300,000 – 349,999 |
| CPM (≈ $/1k impr) | USD 6.92 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 40 (2023-10-12 → 2023-11-21) |
| Created | 2023-10-12 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | OH — Sherrod Brown |
| Surfaced by | “senate:Sherrod Brown” |
🧠 AI analysis
| Issue | agriculture rural |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural |
| Call to action | learn more |
| Standout element | Aerial drone shot of red combine harvester cutting through vast golden farmland, evoking American agricultural heritage |
| Tactic | The ad pairs a visually striking symbol of American farmland with a bipartisan national security message, using a news headline to add credibility and frame Brown as a fighter protecting Ohio farmers from foreign adversaries. |
Where it ran (delivery by region)
| Ohio | 100.0% |
| Delaware | 0.0% |
Who saw it (delivery)
| 55-64 · unknown | 0.1% |
| 65+ · female | 5.8% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 6.8% |
| 18-24 · male | 3.8% |
| 35-44 · male | 8.7% |
| 35-44 · unknown | 0.2% |
| 45-54 · female | 10.4% |
| 18-24 · female | 7.7% |
| 25-34 · unknown | 0.1% |
| 35-44 · female | 14.3% |
| 25-34 · male | 9.8% |
| 45-54 · male | 7.2% |
| 25-34 · female | 16.9% |
| 55-64 · male | 4.6% |
| 65+ · unknown | 0.1% |
| 65+ · male | 3.3% |
| 18-24 · unknown | 0.1% |
