United States 2026 · Data
Every political advertiser
The 24,034 Facebook and Instagram pages that ran a domestic political ad paid in dollars from 4 May 2026, from Meta’s archive as pulled on 4 November 2026. Every page links to its own Vipima page, with its weekly spend, tone and costliest ads, and from there to Meta’s Ad Library; a party’s or candidate’s page links to that party or candidate.
Download every row as CSV · Browse by state on the map
Filtered to West Virginia
263 pages · $610.4K on West Virginia races
Dem. 20% · Rep. 50% · no side 30%
10 pages · 224 ads · $50.1K
| # | Page | Type | Side | Race | Result | Ads | Spend | In WV | Impressions | Attack | Last ad |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | West Virginia Republican Party | Party | Rep. | Legislature, WV | 44 | $5.4K | $4.7K | ~393.6K | 20% | 26 Oct | |
| 2 | West Virginia Republican Legislative Committee | Party | Rep. | Legislature, WV | 3 | $949 | $949 | ~100K | 27 Oct | ||
| 3 | Barbour County, WV Republican Party | Party | Rep. | Legislature, WV | 10 | $795 | $746 | ~79.6K | 0.0% | 26 Oct | |
| 4 | RSCCPaid for by Republican Senate Campaign Committee | Party | Rep. | Legislature, OH | 22 | $32.8K | $650 | ~4.1M | 0.0% | 12 Oct | |
| 5 | Berkeley County Republican PartyPaid for by Berkeley County Republican Party | Party | Rep. | Local, SC | 74 | $5.9K | $447 | ~318K | 42% | 26 Oct | |
| 6 | Monongalia County GOPPaid for by Monongalia County Republican Executive Committee | Party | Rep. | None | 33 | $2K | $447 | ~79.7K | 12% | 27 Oct | |
| 7 | Hardy County GOP | Party | Rep. | None | 14 | $693 | $396 | ~23.2K | 7.7% | 26 Oct | |
| 8 | Raleigh County Republicans | Party | Rep. | None | 15 | $843 | $298 | ~49.2K | 50% | 19 Oct | |
| 9 | Greenbrier County Republican Executive Committee | Party | Rep. | None | 3 | $449 | $150 | ~30.5K | 25 Oct | ||
| 10 | Wayne County Republican Executive Committee | Party | Rep. | Legislature, WV | 6 | $297 | $149 | ~21.1K | 0.0% | 26 Oct |
Spend and impressions are midpoints of Meta’s ranges, impressions capped at “1M+” per ad. Type, side and race come from a model reading each ad; a page shows the side and race most of its spend went to. Attack is the share of a page’s classified ads that attack a named opponent, shown from five ads. See the methodology.