Tom Willis Victory
Capito told WV MetroNews that when it comes to the millions of illegal aliens in our country, “we can’t send them all back.” That’s a position that deeply concerns many West Virginians. Seniors have paid into Social Security their entire lives. It’s their money, and they deserve a Senator who will protect those benefits and keep the system strong for the people who earned it. Granting illegal immigrants amnesty would weaken the programs our seniors depend on. Tom Willis will fight to secure the border, enforce our laws, and put American citizens first, while protecting Social Security and Medicare for West Virginia seniors. It's time for a change. Vote Tom Willis for U.S. Senate in the Republican Primary.
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| Overall score | 50.7/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 88.7 · 2.8 · 70.4 |
| Spend range | USD 2,000–2,499 |
| Impressions | 300,000 – 349,999 |
| CPM (≈ $/1k impr) | USD 6.92 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 11 (2026-05-01 → 2026-05-12) |
| Created | 2026-05-01 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | WV — Tom Willis |
| Surfaced by | “senate:Tom Willis” |
| Issue | immigration |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | professional |
| Who pictured | candidate, seniors |
| Symbols | capitol statue, none |
| Call to action | none |
| Standout element | Candidate in dark suit with red tie standing before classical columns, projecting institutional authority |
| Tactic | The ad uses a quote from the incumbent opponent to link immigration amnesty with Social Security cuts, weaponizing seniors' financial anxieties to drive contrast against Capito. |
| West Virginia | 91.2% |
| Ohio | 1.2% |
| Pennsylvania | 1.0% |
| Virginia | 0.9% |
| Maryland | 0.7% |
| Florida | 0.7% |
| Texas | 0.4% |
| 18-24 · female | 0.3% |
| 45-54 · male | 11.1% |
| 65+ · male | 16.6% |
| 65+ · female | 19.1% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 13.5% |
| 55-64 · female | 11.1% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 7.8% |
| 18-24 · male | 1.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 7.9% |
| 35-44 · female | 5.1% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 4.1% |
| 25-34 · female | 1.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |