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.
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Stand with Shelley!
Ad copy
Elizabeth Warren. Bernie Sanders. AOC… These radical Democrats want to abolish the Electoral College and take away West Virginia’s voice. Stand with Shelley Moore Capito by saying “NO” to socialist Democrats and KEEP THE ELECTORAL COLLEGE INTACT!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 37.0/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 61.7 · 1.9 · 66.9 |
| Spend range | USD 200–299 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 11.09 |
| Est. audience size | — |
| Days live | 8 (2019-11-04 → 2019-11-12) |
| Created | 2019-11-01 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | WV — Shelley Capito |
| Surfaced by | “senate:Shelley Capito” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Facebook content removal notice obscuring the ad itself, revealing a compliance failure |
| Tactic | The ad uses named progressive bogeymen (Warren, Sanders, AOC) to trigger fear of socialist takeover and mobilize conservative West Virginians into a list-building petition defending the Electoral College. |
Where it ran (delivery by region)
| West Virginia | 100.0% |
Who saw it (delivery)
| 45-54 · male | 10.9% |
| 25-34 · female | 1.1% |
| 35-44 · unknown | 0.0% |
| 55-64 · unknown | 0.1% |
| 65+ · unknown | 0.1% |
| 18-24 · female | 0.3% |
| 18-24 · male | 0.4% |
| 65+ · male | 8.6% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 22.1% |
| 25-34 · male | 1.6% |
| 35-44 · female | 4.3% |
| 45-54 · female | 12.7% |
| 35-44 · male | 4.8% |
| 55-64 · male | 13.1% |
| 65+ · female | 19.8% |
| 25-34 · unknown | 0.0% |
