Tom Willis WV US Inactive
Tom Willis Victory
Tom Willis in Parkersburg
Ad copy
Had a great time in Parkersburg at Cheryl’s Country Diner hearing directly from everyone about what’s on their minds. A major topic was illegal immigration and concerns about the recent news that Sen. Capito is aligning with Democrats to weaken ICE funding, a move people here strongly oppose. West Virginians want a secure nation and safe communities, and that’s exactly what I’m committed to fighting for.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 30.8/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 50.6 · 1.7 · 70.8 |
| Spend range | <USD 99 |
| Impressions | 7,000 – 7,999 |
| CPM (≈ $/1k impr) | USD 6.6 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 7 (2026-02-03 → 2026-02-10) |
| Created | 2026-02-03 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | WV — Tom Willis |
| Surfaced by | “senate:Tom Willis” |
🧠 AI analysis
| Issue | immigration |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | candidate reading from paper at a local diner podium, signaling grassroots authenticity |
| Tactic | The ad uses a local diner town-hall setting to establish man-of-the-people credibility while attacking the incumbent Senator for crossing party lines on ICE funding, framing Willis as the true conservative alternative. |
Where it ran (delivery by region)
| West Virginia | 93.9% |
| Ohio | 2.6% |
| Florida | 0.6% |
| Pennsylvania | 0.4% |
| Oklahoma | 0.3% |
| Tennessee | 0.3% |
| South Carolina | 0.2% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 18-24 · male | 1.9% |
| 25-34 · female | 0.8% |
| 25-34 · male | 3.3% |
| 35-44 · female | 3.9% |
| 35-44 · male | 6.1% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 6.9% |
| 45-54 · male | 11.2% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 12.7% |
| 55-64 · male | 15.9% |
| 55-64 · unknown | 0.1% |
| 65+ · female | 19.2% |
| 65+ · male | 17.3% |
| 65+ · unknown | 0.1% |
