Tom Willis WV US Inactive
Tom Willis Victory
Ad copy
Attending town halls and community meetings matter because they give leaders a chance to really listen and connect with the people they serve. No matter the office, even as a U.S. Senator, there’s no substitute for hearing directly from constituents about what’s working and what isn’t. Showing up, having real conversations, and listening leads to stronger leadership, smarter decisions in Washington, and stronger communities back home.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 27.4/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 43.0 · 1.7 · 65.1 |
| Spend range | <USD 99 |
| Impressions | 3,000 – 3,999 |
| CPM (≈ $/1k impr) | USD 14.14 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 7 (2026-02-19 → 2026-02-26) |
| Created | 2026-02-19 |
| 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 | semi pro |
| Who pictured | candidate, seniors |
| Symbols | none |
| Call to action | none |
| Standout element | Candidate leaning in attentively to an older constituent shown from behind, conveying genuine listening |
| Tactic | The ad uses authentic candid imagery of the candidate in active conversation to reinforce a 'showing up and listening' character narrative that positions Willis as a relatable, accessible leader rather than a typical Washington politician. |
Where it ran (delivery by region)
| West Virginia | 91.9% |
| Pennsylvania | 1.2% |
| Ohio | 1.0% |
| Virginia | 1.0% |
| Florida | 0.9% |
| Kentucky | 0.8% |
| Maryland | 0.5% |
Who saw it (delivery)
| 18-24 · female | 2.4% |
| 18-24 · male | 7.0% |
| 18-24 · unknown | 0.1% |
| 25-34 · female | 1.0% |
| 25-34 · male | 4.4% |
| 35-44 · female | 1.3% |
| 35-44 · male | 4.2% |
| 45-54 · female | 4.3% |
| 45-54 · male | 7.1% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 8.6% |
| 55-64 · male | 16.1% |
| 55-64 · unknown | 0.1% |
| 65+ · female | 19.1% |
| 65+ · male | 24.0% |
| 65+ · unknown | 0.3% |
