Sherrod Brown US Inactive
FRIENDS OF SHERROD BROWN
Stopping Predatory Investors
Stopping Predatory Investors
Stopping Predatory Investors
Ad copy
I wrote a bill to stop predatory investors from jacking up housing costs—so you can always call Ohio home.
I wrote a bill to stop predatory investors from jacking up housing costs—so you can always call Ohio home.
I wrote a bill to stop predatory investors from jacking up housing costs—so you can always call Ohio home.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 37.0/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 61.7 · 0.8 · 64.4 |
| Spend range | USD 300–399 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 15.53 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 4 (2024-10-01 → 2024-10-05) |
| Created | 2024-09-30 |
| Creative variants | 3 body · 3 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | OH — Sherrod Brown |
| Surfaced by | “senate:Sherrod Brown” |
🧠 AI analysis
| Issue | housing |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | family |
| Call to action | learn more |
| Standout element | Newspaper-style bold headline overlaid on candidate speaking one-on-one with a constituent at a residential fence |
| Tactic | The ad leverages a news headline as borrowed credibility to validate Brown's legislative action, pairing it with a relatable neighbor-to-neighbor visual to position him as a working-class champion fighting corporate housing speculators. |
Where it ran (delivery by region)
| Ohio | 100.0% |
Who saw it (delivery)
| 18-24 · female | 1.6% |
| 45-54 · male | 5.2% |
| 65+ · male | 8.2% |
| 65+ · female | 22.3% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 6.6% |
| 55-64 · female | 15.3% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 10.8% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 5.1% |
| 35-44 · female | 13.0% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 3.0% |
| 25-34 · female | 8.1% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
