Tom Willis WV US Inactive
Friends of Tom Willis
Tom Willis for WV Senate
Republican Constitutional Conservative Del. Bill Ridnour endorses Tom Willis for WV Senate!Oil and Gas Workers Association endorses Tom Willis for WV SenateRenee Wibly endorses Tom Willis for WV Senate!Vets4Coal PAC endorses Tom Willis for WV Senate!Vets4Vet Leadership PAC endorses Tom Willis for WV...
Ad copy
Send a Green Beret to fight for you and true conservative values. Vote Tom Willis on May 14th!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 35.7/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 59.2 · 3.0 · 68.8 |
| Spend range | USD 100–199 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 8.54 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 12 (2024-05-02 → 2024-05-14) |
| Created | 2024-05-02 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | — |
| Candidate | WV — Tom Willis |
| Surfaced by | “senate:Tom Willis” |
🧠 AI analysis
| Issue | veterans |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | military, us flag |
| Call to action | vote |
| Standout element | Military service identity as political credential — 'Green Beret' framing converts battlefield valor into campaign messaging |
| Tactic | The ad leverages 22 years of Special Forces service as a trust-and-toughness shortcut, equating combat credibility with legislative effectiveness to appeal to patriotic conservative primary voters. |
Where it ran (delivery by region)
| Maryland | 38.9% |
| Virginia | 29.2% |
| West Virginia | 26.3% |
| Pennsylvania | 5.6% |
| Unknown | 0.0% |
Who saw it (delivery)
| 35-44 · unknown | 0.0% |
| 25-34 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
| 45-54 · unknown | 0.0% |
| 55-64 · unknown | 0.1% |
| 45-54 · female | 3.6% |
| 65+ · male | 26.9% |
| 35-44 · male | 5.6% |
| 25-34 · male | 3.6% |
| 55-64 · male | 14.7% |
| 65+ · female | 26.0% |
| 55-64 · female | 9.0% |
| 25-34 · female | 1.2% |
| 35-44 · female | 2.4% |
| 45-54 · male | 6.5% |
