Wesley Hunt US Inactive
Hunt for Congress
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Please make a contribution to help Wesley win this NEW House seat in Texas.
Ad copy
LEAKED: Nancy Pelosi privately admitted to her donors that her majority could fall apart because Texas has gained 2 NEW congressional seats. Now, former U.S. Army Captain Wesley Hunt is enlisting in the fight to win Texas’ NEW congressional seat to end Nancy Pelosi’s majority for good.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 46.0/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 73.9 · 11.6 · 63.9 |
| Spend range | USD 1,000–1,499 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 16.66 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 43 (2021-07-15 → 2021-08-27) |
| Created | 2021-07-15 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | TX — Wesley Hunt |
| Surfaced by | “senate:Wesley Hunt” |
🧠 AI analysis
| Issue | foreign policy defense |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | military, us flag |
| Call to action | donate |
| Standout element | Candidate standing confidently in front of a military helicopter in a hangar, evoking Army service and strength |
| Tactic | The ad leverages a 'leaked' framing to create urgency and insider threat, pairing anti-Pelosi fear with Hunt's military biography to drive donations toward flipping a new Texas seat. |
Where it ran (delivery by region)
| Texas | 25.9% |
| California | 8.1% |
| Florida | 7.5% |
| Georgia | 2.9% |
| New York | 2.8% |
| North Carolina | 2.4% |
| Pennsylvania | 2.4% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 45-54 · unknown | 0.2% |
| 65+ · unknown | 0.4% |
| 55-64 · unknown | 0.3% |
| 45-54 · male | 7.7% |
| 35-44 · male | 4.3% |
| 55-64 · female | 17.3% |
| 55-64 · male | 13.1% |
| 65+ · male | 16.6% |
| 65+ · female | 29.0% |
| 45-54 · female | 7.9% |
| 35-44 · female | 3.1% |
