Shelley Moore Capito US Inactive
Capito for West Virginia
⚠ Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
RESPOND HERE >
Share your thoughts!
Ad copy
Democrats want to keep our southern borders open to anyone and everyone. Do you support President Trump’s plans to build the wall and protect our borders?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 28.5/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 43.0 · 6.1 · 65.1 |
| Spend range | <USD 99 |
| Impressions | 3,000 – 3,999 |
| CPM (≈ $/1k impr) | USD 14.14 |
| Est. audience size | — |
| Days live | 23 (2019-10-08 → 2019-10-31) |
| Created | 2019-10-08 |
| Creative variants | 1 body · 1 headline |
| Platforms | — |
| Languages | en |
| Candidate | WV — Shelley Capito |
| Surfaced by | “senate:Shelley Capito” |
🧠 AI analysis
| Issue | immigration |
| Framing | contrast comparison |
| Message type | list building survey |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | border |
| Call to action | survey poll |
| Standout element | platform removal notice obscuring the original ad content, revealing only the metadata shell |
| Tactic | The ad uses a push-poll survey mechanic to build a list of border-security supporters while framing Democrats as favoring open borders, leveraging Trump's wall as an activation signal for right-leaning West Virginia voters. |
Where it ran (delivery by region)
| West Virginia | 100.0% |
Who saw it (delivery)
| 55-64 · unknown | 0.1% |
| 35-44 · unknown | 0.0% |
| 18-24 · female | 0.1% |
| 45-54 · unknown | 0.0% |
| 65+ · unknown | 0.1% |
| 18-24 · male | 0.5% |
| 25-34 · male | 2.2% |
| 55-64 · female | 17.7% |
| 45-54 · male | 10.2% |
| 35-44 · female | 2.7% |
| 55-64 · male | 15.9% |
| 45-54 · female | 7.8% |
| 65+ · male | 15.2% |
| 65+ · female | 22.9% |
| 35-44 · male | 3.8% |
| 25-34 · female | 0.7% |
