Tom Willis WV US Inactive
Tom Willis Victory
Ad copy
I’m grateful to Sen. Scott Fuller for his support and endorsement. Serving in the United States Navy, West Virginia Army National Guard, and as a retired Huntington Police Officer, Sen. Fuller understands the importance of public safety and our national security. His backing strengthens our efforts to keep our communities safe and secure. I'm proud to have his endorsement and call him a friend.
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Performance proxies
| Overall score | 39.7/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 65.4 · 4.4 · 65.2 |
| Spend range | USD 400–499 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 13.83 |
| Est. audience size | 5,001 – 10,000 |
| Days live | 17 (2026-04-25 → 2026-05-12) |
| Created | 2026-04-24 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | WV — Tom Willis |
| Surfaced by | “senate:Tom Willis” |
🧠 AI analysis
| Issue | crime safety |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate, police |
| Symbols | military, none |
| Call to action | none |
| Standout element | Side-by-side official portrait pairing with bold red endorsement banner lending institutional credibility |
| Tactic | Leverages a peer elected official's military and law enforcement biography as borrowed credibility to reinforce Willis's public safety and national security positioning. |
Where it ran (delivery by region)
| West Virginia | 92.2% |
| Ohio | 2.0% |
| Kentucky | 1.2% |
| Florida | 0.7% |
| Virginia | 0.3% |
| North Carolina | 0.3% |
| South Carolina | 0.3% |
Who saw it (delivery)
| 18-24 · female | 1.4% |
| 45-54 · male | 9.3% |
| 65+ · male | 14.7% |
| 65+ · female | 21.3% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 11.6% |
| 55-64 · female | 11.3% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 8.9% |
| 18-24 · male | 1.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 6.4% |
| 35-44 · female | 5.7% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 4.4% |
| 25-34 · female | 3.2% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
