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 Colorado
472 pages · $5.6M on Colorado races
Dem. 52% · Rep. 6.3% · no side 41%
9 pages · 503 ads · $851.9K
| # | Page | Type | Side | Race | Result | Ads | Spend | In CO | Impressions | Attack | Last ad |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | The American HorizonPaid for by DCCC | Party | Dem. | House, district not named | 53 | $477.2K | $25K | ~24.7M | 98% | 3 Sep | |
| 2 | Working Families PartyPaid for by Working Families Party PAC | Party | Dem. | Local, MN | 335 | $356K | $16.3K | ~31.9M | 54% | 25 Oct | |
| 3 | Colorado Working Families PartyPaid for by Colorado Working Families Party IE | Party | Dem. | Local, CO | 2 | $7.5K | $7.5K | ~282.5K | 23 Jun | ||
| 4 | Denver DemocratsPaid for by Denver Democratic Central Committee | Party | Dem. | Legislature, CO | 6 | $897 | $499 | ~126K | 0.0% | 10 Aug | |
| 5 | Summit County Colorado GOPPaid for by Summit County Republican Central Committee | Party | None | Ballot measure, CO | 1 | $450 | $450 | ~22.5K | 15 Oct | ||
| 6 | Forward Party ColoradoPaid for by Colorado Forward Party Committee | Party | None | None | 24 | $1.8K | $249 | ~348.6K | 0.0% | 13 Oct | |
| 7 | Grand County Colorado Republicans | Party | Rep. | None | 4 | $598 | $199 | ~28K | 20 Jul | ||
| 8 | Douglas County DemocratsPaid for by Douglas County Democratic Party | Party | Dem. | None | 69 | $6.9K | $50 | ~789.2K | 0.0% | 26 Oct | |
| 9 | Larimer County Republicans | Party | Rep. | None | 9 | $446 | $50 | ~32.2K | 0.0% | 3 Sep |
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.