Sherrod Brown US Inactive
FRIENDS OF SHERROD BROWN
U.S. Sen. Sherrod Brown announces almost $20 billion for Intel fabs in Ohio, around U.S. • Ohio Capital Journal
Nearly $20 billion in federal grants and loans is on its way to Intel to support work on semiconductor fabs in Ohio and around the country. The funding is part of the CHIPS Act, signed into law by President Joe Biden in 2022.
Ad copy
We're bringing supply chains home to make Ohio the global leader in semiconductor innovation and production.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 59.9/100 |
| Spend / Reach / Long. / Eff. | 59.4 · 100.0 · 14.3 · 66.0 |
| Spend range | USD 10,000–14,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 12.5 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 53 (2024-06-21 → 2024-08-13) |
| Created | 2024-06-21 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | OH — Sherrod Brown |
| Surfaced by | “senate:Sherrod Brown” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | diverse crowd |
| Symbols | none |
| Call to action | learn more |
| Standout element | Crowd holding 'STOP NRA' and 'ENOUGH' protest signs — a visually jarring mismatch with the semiconductor/economy message |
| Tactic | The ad borrows third-party credibility from the Ohio Capital Journal to validate a major economic win, framing Brown as a deliverer of jobs and industrial investment for Ohio. |
Where it ran (delivery by region)
| Ohio | 100.0% |
| Unknown | 0.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.2% |
| 45-54 · male | 6.4% |
| 35-44 · unknown | 0.2% |
| 25-34 · unknown | 0.2% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.1% |
| 18-24 · female | 7.2% |
| 18-24 · male | 6.3% |
| 65+ · male | 2.8% |
| 55-64 · female | 4.7% |
| 55-64 · male | 3.9% |
| 25-34 · male | 14.4% |
| 35-44 · female | 13.8% |
| 65+ · female | 3.9% |
| 45-54 · female | 7.7% |
| 35-44 · male | 10.9% |
| 25-34 · female | 17.3% |
| 55-64 · unknown | 0.1% |
