Tom Willis WV US Inactive
Friends of Tom Willis
Ad copy
Senator Blair is milking the system. Senate President Craig Blair makes exhaustive use of “duty days” to the extent that in 2022 he received over $65,000 in pay plus at least $35,000 in expense money, totaling over $100,000 for a $20,000 per year job. In total he claimed to have worked more than 5 days per week, 52 weeks per year. Under the upcoming pay scale, this would mean Blair would be paying himself $150,000 a year...for a part time job when most West Virginians make less than $50,000 a year. Read more here- https://www.timeswv.com/opinion/guest_columns/should-a-state-senator-be-making-180-000-per-year-for-a-part-time-job/article_596acb66-bde9-11ed-8996-9fe6065e9c2f.html
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.6/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 61.7 · 16.3 · 66.9 |
| Spend range | USD 200–299 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 11.09 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 60 (2024-03-12 → 2024-05-11) |
| Created | 2024-03-12 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | WV — Tom Willis |
| Surfaced by | “senate:Tom Willis” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | money cash, us flag, capitol statue |
| Call to action | learn more |
| Standout element | Floating green dollar sign emojis superimposed around the opponent's head to visually signal greed |
| Tactic | The ad uses a populist corruption frame — contrasting Blair's alleged $100,000+ take from a $20,000 job against the average West Virginian's income — to trigger outrage and distrust toward the incumbent. |
Where it ran (delivery by region)
| West Virginia | 86.5% |
| Maryland | 12.5% |
| Virginia | 1.0% |
| Unknown | 0.0% |
Who saw it (delivery)
| 55-64 · unknown | 0.2% |
| 35-44 · unknown | 0.1% |
| 65+ · unknown | 0.2% |
| 25-34 · male | 1.0% |
| 45-54 · female | 4.8% |
| 45-54 · male | 10.1% |
| 65+ · female | 22.1% |
| 55-64 · male | 18.1% |
| 65+ · male | 23.8% |
| 55-64 · female | 11.5% |
| 35-44 · female | 2.2% |
| 35-44 · male | 5.5% |
| 25-34 · unknown | 0.0% |
| 25-34 · female | 0.2% |
| 45-54 · unknown | 0.1% |
