Paul Dans for US Senate US Inactive
PAUL DANS FOR SENATE
Ad copy
I am Paul Dans. I'm a Republican and Father of 4 who worked for Dr. Ben Carson during Donald Trump's first term in office. I am going to MAKE MYRTLE BEACH SAFE AGAIN. I will be introducing a new national crime bill the moment I am elected to the U.S.Senate. We are going to make every city in South Carolina a place where families feel safe.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.0/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 68.1 · 8.5 · 57.1 |
| Spend range | USD 1,500–1,999 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 41.17 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 32 (2026-03-06 → 2026-04-07) |
| Created | 2026-03-06 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | SC — Paul Dans |
| Surfaced by | “senate:Paul Dans” |
🧠 AI analysis
| Issue | crime safety |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | family |
| Call to action | none |
| Standout element | Candidate speaking directly to camera at night on a Myrtle Beach street with bold white text overlay mid-sentence |
| Tactic | The ad uses a raw, authentic TikTok-style street video to build personal credibility and urgency around a public safety message, leaning on Trump-era branding ('Make Myrtle Beach Safe Again') to rally conservative voters. |
Where it ran (delivery by region)
| South Carolina | 95.5% |
| North Carolina | 4.5% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 12.5% |
| 65+ · male | 16.8% |
| 65+ · female | 12.5% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 18.4% |
| 55-64 · female | 9.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.2% |
| 18-24 · male | 1.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 10.8% |
| 35-44 · female | 3.5% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 6.9% |
| 25-34 · female | 1.5% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.3% |
