Tom Willis WV US Inactive
Friends of Tom Willis
Ad copy
We need a state senator who is unapologetically pro-life, pro-gun, and will work to reduce inflation to help our families. Tom Willis is a decorated green beret and is ready to fight the corrupt–radical liberals in Charleston. On May 14th, vote Tom Willis for WV Senate.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 37.5/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 61.7 · 1.4 · 61.0 |
| Spend range | USD 500–599 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 24.42 |
| Est. audience size | 5,001 – 10,000 |
| Days live | 6 (2024-01-03 → 2024-01-09) |
| Created | 2024-01-03 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | WV — Tom Willis |
| Surfaced by | “senate:Tom Willis” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate, veterans military, seniors |
| Symbols | military, guns 2a, family |
| Call to action | vote |
| Standout element | Candidate shaking hands with a Vietnam veteran wearing a military cap, anchoring the military identity claim visually |
| Tactic | The ad leverages the candidate's Green Beret background as a trustworthiness and toughness shortcut, pairing a warm veteran handshake photo with combative 'ready to fight' language to appeal simultaneously to both patriotic pride and anti-establishment anger. |
Where it ran (delivery by region)
| West Virginia | 86.4% |
| Maryland | 12.3% |
| Virginia | 1.2% |
| Pennsylvania | 0.1% |
Who saw it (delivery)
| 18-24 · female | 1.0% |
| 25-34 · male | 5.2% |
| 18-24 · unknown | 0.0% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.2% |
| 55-64 · unknown | 0.0% |
| 25-34 · female | 4.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 8.0% |
| 18-24 · male | 1.1% |
| 45-54 · female | 11.8% |
| 55-64 · female | 12.8% |
| 55-64 · male | 11.5% |
| 65+ · male | 11.3% |
| 45-54 · male | 9.7% |
| 65+ · female | 14.3% |
| 35-44 · female | 8.4% |
| 25-34 · unknown | 0.0% |
