Friends of Sherrod Brown
Donate today to help flip Ohio’s Senate seat
Donate today to help flip Ohio’s Senate seat
Folks, this isn’t good. The GOP and dark-money PACs are pouring millions into Ohio to defeat me, and it looks like their attacks are working: New polling shows me 3 points down to Republican Jon Husted in this Senate race. Without your immediate grassroots support, I’ll have no chance to fight back and win. So please, will you chip in whatever you can today?
Folks, this isn’t good. The GOP and dark-money PACs are pouring millions into Ohio to defeat me, and it looks like their attacks are working: New polling shows me 3 points down to Republican Jon Husted in this Senate race. Without your immediate grassroots support, I’ll have no chance to fight back and win. So please, will you chip in whatever you can today?
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 60.7/100 |
| Spend / Reach / Long. / Eff. | 73.7 · 98.4 · 16.0 · 54.8 |
| Spend range | USD 45,000–49,999 |
| Impressions | 800,000 – 899,999 |
| CPM (≈ $/1k impr) | USD 55.88 |
| Est. audience size | — |
| Days live | 59 (2026-05-01 → active) |
| Created | 2026-05-01 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | OH — Sherrod Brown |
| Surfaced by | “senate:Sherrod Brown” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Split red-vs-blue poll graphic showing Brown trailing by 3 points with a live fundraising thermometer and 'DONATE NOW' button |
| Tactic | Classic 'underdog urgency' fundraising tactic using real poll numbers and dark-money villain framing to trigger fear of losing and motivate immediate small-dollar donations. |
| Ohio | 37.3% |
| California | 10.0% |
| New York | 4.7% |
| Florida | 4.3% |
| Pennsylvania | 3.1% |
| Texas | 2.7% |
| Illinois | 2.7% |
| 18-24 · female | 0.1% |
| 45-54 · male | 4.2% |
| 65+ · male | 28.7% |
| 65+ · female | 34.7% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.9% |
| 55-64 · female | 9.6% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.4% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.0% |
| 35-44 · female | 2.5% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.4% |
| 25-34 · female | 1.0% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.8% |