Wesley Hunt US Inactive
HELLFIRE PAC
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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!
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 | 45.7/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 78.0 · 3.0 · 66.9 |
| Spend range | USD 1,000–1,499 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 11.11 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 12 (2024-08-29 → 2024-09-10) |
| Created | 2024-08-29 |
| Creative variants | 4 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 | professional |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | vote |
| Standout element | Black conservative candidate surrounded by multiple American flags in dark studio — a deliberate visual counter-narrative to identity politics |
| Tactic | The ad uses a culturally charged wedge issue to drive GOTV energy by framing a vote for Trump as a vote for common-sense gender norms, leveraging Wesley Hunt's identity as a Black Republican to amplify credibility on a culture-war message. |
Where it ran (delivery by region)
| Iowa | 100.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 35-44 · male | 8.0% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.2% |
| 25-34 · male | 3.2% |
| 25-34 · female | 0.6% |
| 45-54 · female | 3.7% |
| 45-54 · male | 12.1% |
| 65+ · male | 20.4% |
| 35-44 · unknown | 0.0% |
| 55-64 · male | 19.6% |
| 65+ · female | 18.7% |
| 55-64 · female | 10.4% |
| 35-44 · female | 1.9% |
| 18-24 · male | 0.6% |
| 18-24 · female | 0.2% |
| 65+ · unknown | 0.2% |
| 25-34 · unknown | 0.0% |
