Sherrod Brown US Inactive
Friends of Sherrod Brown
Pitch in to Sherrod’s campaign
Donate today to help flip Ohio’s Senate seat
Ad copy
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)
Performance proxies
| Overall score | 52.5/100 |
| Spend / Reach / Long. / Eff. | 59.4 · 85.0 · 10.5 · 54.9 |
| Spend range | USD 10,000–14,999 |
| Impressions | 200,000 – 249,999 |
| CPM (≈ $/1k impr) | USD 55.55 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 39 (2026-05-10 → 2026-06-18) |
| Created | 2026-05-10 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | OH — Sherrod Brown |
| Surfaced by | “senate:Sherrod Brown” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | family |
| Call to action | donate |
| Standout element | Candidate tenderly bending down to pet a large fluffy dog amid autumn leaves outside a modest white clapboard house |
| Tactic | Classic underdog fundraising urgency tactic — citing a specific poll deficit to trigger fear of losing and motivate immediate small-dollar donations, softened by a warm, humanizing candidate photo designed to build personal connection. |
Where it ran (delivery by region)
| Ohio | 32.0% |
| California | 10.8% |
| New York | 5.7% |
| Florida | 3.6% |
| Massachusetts | 3.5% |
| Illinois | 3.2% |
| Pennsylvania | 3.0% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 45-54 · male | 1.3% |
| 65+ · male | 25.1% |
| 65+ · female | 54.0% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 4.3% |
| 55-64 · female | 8.6% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.6% |
| 18-24 · male | 0.0% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 0.7% |
| 35-44 · female | 1.1% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.3% |
| 25-34 · female | 0.5% |
| 65+ · unknown | 1.1% |
