Tom Willis WV US Inactive
Tom Willis Victory
Tom Willis Discusses Manufacturing in Wheeling
Ad copy
Standing at Independence Hall in downtown Wheeling, where our State Constitution was penned and West Virginia was born, is a powerful reminder of who we are and what we can achieve. In this historic manufacturing town, we must build a legal and regulatory framework that brings industry back, creates good-paying jobs, and encourages companies to headquarter here on our side of the river. As your next U.S. Senator, and in my work today in the State Senate, I’m focused on restoring West Virginia's economy and making our state a magnet for manufacturing once again.
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Performance proxies
| Overall score | 44.5/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 76.3 · 3.9 · 71.8 |
| Spend range | USD 500–599 |
| Impressions | 90,000 – 99,999 |
| CPM (≈ $/1k impr) | USD 5.78 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 15 (2026-03-18 → 2026-04-02) |
| Created | 2026-03-18 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | WV — Tom Willis |
| Surfaced by | “senate:Tom Willis” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | factory industry, capitol statue |
| Call to action | none |
| Standout element | Candidate speaking at a branded podium in front of historic Independence Hall in Wheeling, anchoring identity to state founding heritage |
| Tactic | The ad leverages place-based pride by positioning the candidate at West Virginia's constitutional birthplace, tying economic revival messaging to deep state identity and legitimizing his manufacturing jobs platform with historical gravitas. |
Where it ran (delivery by region)
| West Virginia | 89.9% |
| Virginia | 3.9% |
| Maryland | 2.5% |
| Ohio | 1.8% |
| Kentucky | 1.8% |
| Pennsylvania | 0.1% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 10.4% |
| 65+ · male | 13.5% |
| 65+ · female | 20.1% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 12.1% |
| 55-64 · female | 12.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 8.3% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 9.6% |
| 35-44 · female | 5.9% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 4.1% |
| 25-34 · female | 2.2% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
