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.
Standing Up for Conservatives
Ad copy
Shelley Moore Capito wants to lower healthcare costs and protect your ability to see your doctor. Elizabeth Warren wants to pass a $52 trillion government takeover of healthcare. Do you stand with the trusted conservative Shelley Moore Capito or the true socialist Elizabeth Warren?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 24.2/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 34.4 · 3.9 · 58.7 |
| Spend range | <USD 99 |
| Impressions | 1,000 – 1,999 |
| CPM (≈ $/1k impr) | USD 33.01 |
| Est. audience size | — |
| Days live | 15 (2019-11-21 → 2019-12-06) |
| Created | 2019-11-21 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | WV — Shelley Capito |
| Surfaced by | “senate:Shelley Capito” |
🧠 AI analysis
| Issue | healthcare |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | Ad removed by platform due to disclaimer violation, exposing the compliance failure |
| Tactic | The ad uses a stark contrast framing — positioning Capito as a trusted conservative protector of healthcare choice versus Warren as a socialist pushing a $52 trillion government takeover — to trigger fear of big government among West Virginia voters. |
Where it ran (delivery by region)
| West Virginia | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 55-64 · female | 14.4% |
| 65+ · female | 25.6% |
| 45-54 · male | 9.3% |
| 55-64 · male | 16.6% |
| 65+ · male | 19.9% |
| 35-44 · female | 2.0% |
| 25-34 · female | 0.4% |
| 35-44 · male | 3.0% |
| 45-54 · female | 7.0% |
| 25-34 · male | 0.9% |
| 55-64 · unknown | 0.2% |
| 65+ · unknown | 0.2% |
| 35-44 · unknown | 0.1% |
| 18-24 · male | 0.2% |
| 45-54 · unknown | 0.1% |
