Tom Willis WV US Inactive
Tom Willis Victory
Ad copy
Public safety must come before political optics and irrational compromises. The Afghan resettlement program ignored that principle and rushed mass relocations without adequate vetting. The result was a preventable tragedy, risking future tragedies. Capito funded this Biden Era program with $13 billion.
↗ 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 | 100,001 – 500,000 |
| Days live | 7 (2026-02-25 → 2026-03-04) |
| Created | 2026-02-25 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | WV — Tom Willis |
| Surfaced by | “senate:Tom Willis” |
🧠 AI analysis
| Issue | immigration |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | none |
| Standout element | Photo of opponent warmly shaking hands with Biden in the Oval Office, implying collusion with the Biden agenda |
| Tactic | The ad pairs a fear-based safety message about inadequate refugee vetting with a damaging image of the incumbent embracing Biden, using a specific dollar figure ($13 billion) to make the attack concrete and credible. |
Where it ran (delivery by region)
| West Virginia | 88.1% |
| Pennsylvania | 2.1% |
| Virginia | 1.5% |
| Ohio | 1.4% |
| Kentucky | 1.0% |
| Florida | 1.0% |
| Maryland | 0.9% |
Who saw it (delivery)
| 18-24 · female | 1.3% |
| 45-54 · male | 11.4% |
| 65+ · male | 16.0% |
| 65+ · female | 16.1% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 13.9% |
| 55-64 · female | 12.6% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 6.1% |
| 18-24 · male | 3.9% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 7.2% |
| 35-44 · female | 3.5% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 5.9% |
| 25-34 · female | 1.6% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
