Wesley Hunt US Inactive
Hunt for Senate
Ad copy
My heart breaks for the family of Sarah Beckstrom. And this tragedy is a reminder that we cannot ignore the truth: There are people inside our borders who want to see America fall. Some openly despise our way of life, our faith, and our freedoms. They chant “death to America,” and they mean it. If we don’t take these threats seriously, we will see more American lives lost. Thank God President Trump is in charge. Thank God we are deploying 500 additional National Guardsmen to secure D.C. And let me be clear: We will not back down. We will not relent. We will keep the American people safe.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 44.3/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 78.0 · 0.6 · 73.0 |
| Spend range | USD 500–599 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 4.88 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 3 (2025-12-01 → 2025-12-04) |
| Created | 2025-12-01 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX — Wesley Hunt |
| Surfaced by | “senate:Wesley Hunt” |
🧠 AI analysis
| Issue | crime safety |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate, police, veterans military |
| Symbols | us flag, military, capitol statue |
| Call to action | learn more |
| Standout element | Fox News Alert chyron 'DEMS BLAME TRUMP FOR DC NATIONAL GUARD SHOOTING' lending cable news credibility to the attack message |
| Tactic | The ad exploits a tragic shooting to stoke fear of internal enemies, using borrowed Fox News credibility and Trump alignment to position Hunt as a tough-on-security defender of American values. |
Where it ran (delivery by region)
| Texas | 92.9% |
| California | 0.9% |
| Florida | 0.5% |
| Oklahoma | 0.4% |
| Louisiana | 0.3% |
| Arkansas | 0.3% |
| Colorado | 0.3% |
Who saw it (delivery)
| 18-24 · female | 3.9% |
| 45-54 · male | 12.2% |
| 65+ · unknown | 0.1% |
| 65+ · male | 12.7% |
| 65+ · female | 8.9% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 14.5% |
| 55-64 · female | 7.9% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 6.0% |
| 18-24 · male | 4.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 10.5% |
| 35-44 · female | 5.3% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 8.9% |
| 25-34 · female | 4.4% |
| 18-24 · unknown | 0.1% |
| Unknown · female | 0.0% |
