Sherrod Brown US Inactive
FRIENDS OF SHERROD BROWN
MISSING YOUR GIFT ⏳ MIDNIGHT DEADLINE
Sherrod is counting on folks like you to chip in.
Ad copy
Experts at CNN say I’m one of the most vulnerable senators in the entire country – and Washington Republicans are already launching attacks to defeat me. They know that this race could decide Senate control. That’s why I’m counting on folks like you to help me fight back. Will you please chip in now?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 60.9/100 |
| Spend / Reach / Long. / Eff. | 59.4 · 85.0 · 44.1 · 54.9 |
| Spend range | USD 10,000–14,999 |
| Impressions | 200,000 – 249,999 |
| CPM (≈ $/1k impr) | USD 55.55 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 161 (2023-04-05 → 2023-09-13) |
| Created | 2023-04-05 |
| 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 | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Midnight deadline urgency banner combined with CNN vulnerability citation creates double-pressure fundraising squeeze |
| Tactic | Classic vulnerability-plus-deadline fundraising tactic: Brown positions himself as an underdog fighting powerful outside money, leveraging CNN's credibility to make the threat feel real and the donor's action feel decisive. |
Where it ran (delivery by region)
| Ohio | 39.0% |
| California | 10.8% |
| New York | 5.9% |
| Florida | 3.6% |
| Illinois | 3.2% |
| Massachusetts | 2.9% |
| Washington | 2.4% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 65+ · male | 20.6% |
| 18-24 · male | 0.2% |
| 55-64 · unknown | 0.2% |
| 35-44 · male | 2.3% |
| 25-34 · female | 1.5% |
| 65+ · female | 42.4% |
| 35-44 · female | 3.9% |
| 55-64 · female | 12.1% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.6% |
| 55-64 · male | 5.7% |
| 45-54 · male | 3.1% |
| 25-34 · male | 1.1% |
| 65+ · unknown | 0.8% |
| 25-34 · unknown | 0.1% |
| 18-24 · female | 0.2% |
| 35-44 · unknown | 0.1% |
