Sherrod Brown US Inactive
FRIENDS OF SHERROD BROWN
Ohio gets Defense Department chip innovation designation and $24.3 million
The Midwest Microelectronics Consortium comprises over 65 public, private, and nonprofit entities, with leadership from many key Ohio institutions.
Ad copy
Thanks to our work on the CHIPS Act, we're creating jobs, bringing supply chains home to America, and securing millions in investments to support Ohio communities.
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Performance proxies
| Overall score | 60.6/100 |
| Spend / Reach / Long. / Eff. | 65.7 · 100.0 · 15.2 · 61.6 |
| Spend range | USD 20,000–24,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 22.5 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 56 (2023-10-25 → 2023-12-20) |
| Created | 2023-10-25 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | OH — Sherrod Brown |
| Surfaced by | “senate:Sherrod Brown” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | workers labor |
| Symbols | factory industry |
| Call to action | learn more |
| Standout element | Worker in cleanroom gear holding semiconductor chips tray, anchoring the CHIPS Act jobs message with tangible factory imagery |
| Tactic | Borrowed-credibility tactic uses a Cleveland.com news headline and real dollar figures to lend third-party validation to Brown's legislative accomplishments, making the claim feel factual rather than political. |
Where it ran (delivery by region)
| Ohio | 100.0% |
| Kentucky | 0.0% |
| Michigan | 0.0% |
| Missouri | 0.0% |
| Wisconsin | 0.0% |
Who saw it (delivery)
| 55-64 · unknown | 0.1% |
| 35-44 · female | 12.2% |
| 18-24 · unknown | 0.2% |
| 25-34 · unknown | 0.2% |
| 55-64 · female | 4.3% |
| 45-54 · female | 7.2% |
| 35-44 · unknown | 0.2% |
| 65+ · male | 2.2% |
| 18-24 · female | 9.2% |
| 65+ · unknown | 0.0% |
| 35-44 · male | 9.9% |
| 25-34 · male | 16.0% |
| 45-54 · male | 5.6% |
| 18-24 · male | 7.7% |
| 55-64 · male | 3.1% |
| 25-34 · female | 18.4% |
| 65+ · female | 3.4% |
| 45-54 · unknown | 0.1% |
