Tom Willis WV US Inactive
Friends of Tom Willis
to Defend the 2nd Amendment Today | Tom Willis for WV State Senate |
On February 23, 2024, the Biden Administration announced the Federal Red Flag Gun Confiscation Task Force. Kamala Harris and the gun grabbing Democrats want to destroy your right to Keep and Bear Arms, and your right to Due Process, which goes back 800 years to the Magna Carta. Tom Willis has pl...
Ad copy
Help me stop Kamala's favorite unconstitutional gun grabbing scheme by SIGNING and then SHARING this post! https://tomwillis.com/to-defend-the-2nd-amendment-today/
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 39.3/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 65.4 · 3.6 · 67.1 |
| Spend range | USD 300–399 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 10.75 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 14 (2024-09-25 → 2024-10-09) |
| Created | 2024-09-25 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | WV — Tom Willis |
| Surfaced by | “senate:Tom Willis” |
🧠 AI analysis
| Issue | guns |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | opponent, police |
| Symbols | guns 2a, military |
| Call to action | sign petition |
| Standout element | Kamala Harris laughing juxtaposed against armed law enforcement and a pile of confiscated/destroyed guns, implying she endorses gun seizures |
| Tactic | The ad uses fear-based list building by pairing an unflattering image of Harris laughing with imagery of armed raids and gun piles, framing red flag laws as tyrannical confiscation to drive petition sign-ups from 2A voters. |
Where it ran (delivery by region)
| West Virginia | 64.7% |
| Maryland | 17.0% |
| Virginia | 7.2% |
| Pennsylvania | 5.9% |
| Ohio | 5.1% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 45-54 · male | 5.6% |
| 65+ · male | 32.1% |
| 65+ · female | 31.4% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 15.4% |
| 55-64 · female | 8.3% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 2.1% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 2.4% |
| 35-44 · female | 0.7% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.9% |
| 25-34 · female | 0.4% |
| 65+ · unknown | 0.3% |
