Tom Willis WV US Inactive
Friends of Tom Willis
Ad copy
Every innocent life is precious and deserving of protection. Unborn babies carry within them the potential to enrich and brighten our world. I will always fight to protect their right to life, ensuring that their voices are heard and their futures are cherished. My opponent, Craig Blair, voted to allow abortions after a heartbeat is detected, repealed all criminal penalties for abortion doctors, and erased over 20 years of pro-life legislation. No baby should ever be discarded and denied their humanity. On May 14, vote Tom Willis for WV Senate in the Republican Primary.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 33.9/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 50.6 · 10.5 · 62.5 |
| Spend range | USD 100–199 |
| Impressions | 7,000 – 7,999 |
| CPM (≈ $/1k impr) | USD 19.93 |
| Est. audience size | 1,001 – 5,000 |
| Days live | 39 (2024-04-05 → 2024-05-14) |
| Created | 2024-04-05 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | WV — Tom Willis |
| Surfaced by | “senate:Tom Willis” |
🧠 AI analysis
| Issue | abortion |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | family children |
| Symbols | family |
| Call to action | vote |
| Standout element | Glowing, ethereal baby image bathed in soft blue-purple light reinforcing the 'precious life' message |
| Tactic | The ad pairs an emotionally resonant image of a joyful infant with a stark moral declaration, then pivots to attack the opponent's abortion record to contrast Willis as the only true pro-life choice in the primary. |
Where it ran (delivery by region)
| West Virginia | 81.3% |
| Virginia | 2.6% |
| Florida | 2.0% |
| Texas | 1.8% |
| Ohio | 1.7% |
| North Carolina | 1.5% |
| Maryland | 1.2% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 18-24 · female | 0.2% |
| 55-64 · unknown | 0.2% |
| 65+ · male | 13.9% |
| 55-64 · male | 11.5% |
| 65+ · female | 18.2% |
| 65+ · unknown | 0.2% |
| 35-44 · male | 8.6% |
| 25-34 · male | 4.3% |
| 35-44 · female | 4.9% |
| 45-54 · female | 10.6% |
| 55-64 · female | 12.1% |
| 45-54 · male | 13.5% |
| 18-24 · male | 0.9% |
| 25-34 · female | 0.7% |
