Dale Romans US Inactive
Dale Romans for Kentucky
Donate to Dale Romans today!
Join our campaign to send Dale Romans to the U.S. Senate!
Ad copy
🚨BREAKING NEWS🚨Elon Musk just dumped $10 million into Kentucky’s Senate race to keep it red. We need your help to respond immediately. This race should be decided by the people who live and work here, not by billionaire donors. If you agree, chip in to Dale Romans' campaign today to help power this grassroots campaign to victory in November.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 26.0/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 39.6 · 1.9 · 62.6 |
| Spend range | <USD 99 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 19.8 |
| Est. audience size | 1,001 – 5,000 |
| Days live | 8 (2026-01-26 → 2026-02-03) |
| Created | 2026-01-23 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | KY — Dale Romans |
| Surfaced by | “senate:Dale Romans” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | money cash |
| Call to action | donate |
| Standout element | Red-tinted ominous close-up of Elon Musk's face looming over a white Kentucky state silhouette with '$10 million' highlighted in red |
| Tactic | Classic outsider-money threat framing pairs a villainous visual of Musk with a grassroots vs. billionaire narrative to trigger urgency and prompt immediate donations. |
Where it ran (delivery by region)
| Kentucky | 37.6% |
| Florida | 11.0% |
| New York | 6.0% |
| Illinois | 3.6% |
| Indiana | 3.4% |
| California | 2.9% |
| Maryland | 2.9% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · female | 10.8% |
| 65+ · male | 13.6% |
| 65+ · female | 14.0% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 11.0% |
| 55-64 · female | 14.3% |
| 45-54 · male | 6.5% |
| 35-44 · unknown | 0.1% |
| 18-24 · male | 2.5% |
| 35-44 · male | 6.4% |
| 35-44 · female | 7.3% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 6.7% |
| 25-34 · female | 5.8% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.2% |
