Sherrod Brown US Inactive
FRIENDS OF SHERROD BROWN
Ohio getting $162.5M for high-speed internet
A $162.5 million federal investment for high-speed internet infrastructure and projects is coming to Ohio from the American Rescue Plan. The funding from the U.S. Department of Treasury will support two internet expansion programs: $77.5 million for rural broadband infrastructure and $85 million for...
Ad copy
I’ll always fight for Ohioans to have access to high-speed internet access.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 58.2/100 |
| Spend / Reach / Long. / Eff. | 52.4 · 95.7 · 17.1 · 67.7 |
| Spend range | USD 6,000–6,999 |
| Impressions | 600,000 – 699,999 |
| CPM (≈ $/1k impr) | USD 10.0 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 63 (2024-01-09 → 2024-03-12) |
| Created | 2024-01-09 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | OH — Sherrod Brown |
| Surfaced by | “senate:Sherrod Brown” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | learn more |
| Standout element | The Vindicator masthead used as third-party credibility anchor for the $162.5M federal investment claim |
| Tactic | Borrowed credibility tactic — using a local newspaper headline to validate Brown's legislative accomplishment, making the win feel concrete and locally verified rather than self-promotional. |
Where it ran (delivery by region)
| Ohio | 100.0% |
| Indiana | 0.0% |
| Gauteng | 0.0% |
| Hidalgo | 0.0% |
| Oaxaca | 0.0% |
| Alabama | 0.0% |
| Florida | 0.0% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 45-54 · male | 6.7% |
| 18-24 · female | 6.7% |
| 55-64 · female | 7.4% |
| 25-34 · female | 15.9% |
| 65+ · female | 7.0% |
| 25-34 · male | 9.8% |
| 18-24 · male | 4.5% |
| 55-64 · male | 4.7% |
| 65+ · unknown | 0.1% |
| 35-44 · female | 14.2% |
| 65+ · male | 3.7% |
| 45-54 · female | 10.2% |
| 25-34 · unknown | 0.2% |
| 35-44 · unknown | 0.2% |
| 18-24 · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
| 35-44 · male | 8.6% |
