Tom Willis WV US Inactive
Tom Willis Victory
Ad copy
Our stop in Parkersburg at Cheryl’s Country Diner turned into a great conversation with folks from across the community, and we were especially grateful when the owners joined us and offered a prayer. Moments like that are a reminder that leadership starts with listening and bringing people together. I wish more elected officials made time for conversations like these, because hearing directly from the people they represent truly matters.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 30.2/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 49.2 · 1.7 · 69.7 |
| Spend range | <USD 99 |
| Impressions | 6,000 – 6,999 |
| CPM (≈ $/1k impr) | USD 7.62 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 7 (2026-02-03 → 2026-02-10) |
| Created | 2026-02-03 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| 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 | empathy |
| Production tier | diy amateur |
| Who pictured | candidate, diverse crowd |
| Symbols | church cross, family |
| Call to action | none |
| Standout element | Candidate speaking at a small-town diner table with everyday community members in casual attire |
| Tactic | The ad uses authentic grassroots imagery and a prayer reference to build trust and relatability with faith-based, small-town West Virginia voters by positioning the candidate as a humble listener rather than a typical politician. |
Where it ran (delivery by region)
| West Virginia | 95.1% |
| Ohio | 3.1% |
| Florida | 0.5% |
| Pennsylvania | 0.2% |
| Virginia | 0.2% |
| South Carolina | 0.2% |
| North Carolina | 0.1% |
Who saw it (delivery)
| 18-24 · female | 3.0% |
| 45-54 · male | 8.0% |
| 65+ · male | 9.8% |
| 65+ · female | 18.2% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 9.0% |
| 55-64 · female | 12.4% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 9.2% |
| 18-24 · male | 3.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 6.7% |
| 35-44 · female | 7.2% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 6.4% |
| 25-34 · female | 6.1% |
| 65+ · unknown | 0.1% |
