Wesley Hunt US Inactive
HELLFIRE PAC
WinRed - Our technology changes how conservatives & center-right groups fundraise online. Join now to start winning!
WinRed - Our technology changes how conservatives & center-right groups fundraise online. Join now to start winning!
WinRed - Our technology changes how conservatives & center-right groups fundraise online. Join now to start winning!
Ad copy
Men should NOT be competing in women's sports. On November 5th, vote for President Donald Trump!
Men should NOT be competing in women's sports. On November 5th, vote for President Donald Trump!
Men should NOT be competing in women's sports. On November 5th, vote for President Donald Trump!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.0/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 80.0 · 3.0 · 64.0 |
| Spend range | USD 2,000–2,499 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 16.36 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 12 (2024-08-29 → 2024-09-10) |
| Created | 2024-08-29 |
| Creative variants | 3 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | TX — Wesley Hunt |
| Surfaced by | “senate:Wesley Hunt” |
🧠 AI analysis
| Issue | other |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | vote |
| Standout element | Black Republican candidate in suit speaking directly to camera against U.S. flags, lending personal credibility to a culture-war message |
| Tactic | The ad uses a direct-to-camera authoritative testimonial format from a credible Black conservative voice to legitimize a culture-war stance and drive GOTV action for Trump. |
Where it ran (delivery by region)
| Iowa | 100.0% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 65+ · female | 8.0% |
| 25-34 · unknown | 0.2% |
| 35-44 · unknown | 0.1% |
| 18-24 · unknown | 0.4% |
| 65+ · male | 6.5% |
| 45-54 · female | 3.8% |
| 55-64 · male | 9.8% |
| 55-64 · female | 6.7% |
| 55-64 · unknown | 0.1% |
| 25-34 · female | 2.0% |
| 18-24 · female | 1.4% |
| 35-44 · male | 11.5% |
| 45-54 · male | 9.7% |
| 18-24 · male | 20.5% |
| 25-34 · male | 15.9% |
| 35-44 · female | 3.2% |
| 65+ · unknown | 0.1% |
