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 Wisconsin
395 pages · $9M on Wisconsin races
Dem. 51% · Rep. 46% · no side 3.6%
10 pages · 2,215 ads · $1M
| # | Page | Type | Side | Race | Result | Ads | Spend | In WI | Impressions | Attack | Last ad |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | The Wisconsin IndependentPaid for by The American Independent Foundation | Media | Dem. | None | 26 | $150K | $55.7K | ~14.8M | 38% | 23 Oct | |
| 2 | One For All CommitteePaid for by ONE FOR ALL COMMITTEE | Group | Dem. | None | 146 | $209.6K | $41.3K | ~23.3M | 26% | 26 Oct | |
| 3 | Sierra ClubPaid for by SIERRA CLUB | Group | Dem. | None | 794 | $334.1K | $22.3K | ~14.2M | 72% | 23 Oct | |
| 4 | Waukesha County Democratic Party | Party | Dem. | None | 10 | $1.7K | $398 | ~153.5K | 20% | 24 Oct | |
| 5 | UpNorthNews | Media | Dem. | None | 23 | $2.1K | $350 | ~184.9K | 17% | 14 Oct | |
| 6 | Democratic Party of Brown County WisconsinPaid for by DEMOCRATIC PARTY-BROWN COUNTY | Party | Dem. | None | 9 | $446 | $149 | ~24.6K | 0.0% | 12 Sep | |
| 7 | Team OathPaid for by 51C Collaborative (Oath) | Unknown | Dem. | None | 1,110 | $343.2K | $99 | ~6.5M | 24% | 26 Oct | |
| 8 | Movement Voter ProjectPaid for by Movement Voter PAC | Group | Dem. | None | 18 | $2.2K | $99 | ~25.7K | 28% | 14 Oct | |
| 9 | Chequamegon Democrats | Party | Dem. | None | 4 | $198 | $99 | ~4.1K | 17 Oct | ||
| 10 | Our Part of WisconsinPaid for by AMERICAN FAMILY VOICES INC | Network page | Dem. | None | 75 | $3.7K | $50 | ~194.3K | 42% | 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.