Paul Dans for South Carolina US Inactive
PAUL DANS FOR SENATE
Ad copy
I went on Matt Gaetz show to talk about abuses in the H1B Visa program and the outsourcing of South Carolina Jobs. Did you know Sonoco outsourced its IT division to India? Those jobs belong to kids from Coker and Francis Marion University. I also spoke about the fact that we are building houses with Canadian Lumber instead of Lumber from right here in South Carolina.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 37.1/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 63.8 · 0.6 · 72.2 |
| Spend range | USD 100–199 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 5.44 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 3 (2026-05-14 → 2026-05-17) |
| Created | 2026-05-14 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | SC — Paul Dans |
| Surfaced by | “senate:Paul Dans” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | issue advocacy |
| Message type | awareness |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | OAN lower-third chyron lending media legitimacy to the candidate's appearance alongside Matt Gaetz |
| Tactic | Leverages a cable news appearance as borrowed credibility to validate economic nationalist grievances about H1B visa abuse and foreign sourcing, making the candidate appear as an insider-turned-fighter for local workers. |
Where it ran (delivery by region)
| South Carolina | 86.5% |
| North Carolina | 13.5% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 15.2% |
| 65+ · male | 12.2% |
| 65+ · female | 10.4% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 15.7% |
| 55-64 · female | 8.5% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 6.2% |
| 18-24 · male | 0.4% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 15.9% |
| 35-44 · female | 6.0% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 6.8% |
| 25-34 · female | 2.1% |
| 65+ · unknown | 0.1% |
