Sherrod Brown US Inactive
FRIENDS OF SHERROD BROWN
Donate to win in Ohio and keep the Senate blue!
[DONATION PENDING]
Ad copy
I’ll admit I’m not winning any “best dressed” awards in the Senate. Words often used to describe me include “rumpled,” “wrinkled,” and “disheveled.” You’re more likely to find me in a Guardians T-shirt than a suit and tie. But that’s because I’m focused on fighting for the Dignity of Work – all work – and that doesn’t require a perfect wardrobe. So today, I’m asking you to have a little faith in me and our campaign, rumpled suit and all. I’m in the fight of my life to defend Ohio’s seat and our Democratic Senate majority, and I’m counting on your support before my midnight fundraising deadline. Will you chip in now?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 54.6/100 |
| Spend / Reach / Long. / Eff. | 52.4 · 80.0 · 29.8 · 56.1 |
| Spend range | USD 6,000–6,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 47.27 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 109 (2023-05-25 → 2023-09-11) |
| Created | 2023-05-25 |
| 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 | fundraising |
| Emotional appeal | empathy |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | candidate drinking coffee at a cluttered desk in a wrinkled shirt, deliberately un-staged |
| Tactic | Self-deprecating humor about appearance builds working-class relatability, framing dishevelment as proof of work ethic and authentic dedication to labor dignity. |
Where it ran (delivery by region)
| Ohio | 46.9% |
| California | 8.1% |
| New York | 4.9% |
| Illinois | 2.9% |
| Florida | 2.9% |
| Massachusetts | 2.8% |
| Washington | 2.1% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 65+ · male | 20.1% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.8% |
| 35-44 · female | 3.7% |
| 65+ · female | 46.3% |
| 55-64 · female | 11.3% |
| 18-24 · female | 0.1% |
| 45-54 · female | 5.2% |
| 45-54 · male | 2.6% |
| 55-64 · male | 4.8% |
| 35-44 · male | 2.1% |
| 25-34 · female | 1.3% |
| 25-34 · male | 1.0% |
| 55-64 · unknown | 0.2% |
| 25-34 · unknown | 0.1% |
