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 New Jersey
498 pages · $2.3M on New Jersey races
Dem. 67% · Rep. 23% · no side 9.9%
9 pages · 1,813 ads · $7.2M
| # | Page | Type | Side | Race | Result | Ads | Spend | In NJ | Impressions | Attack | Last ad |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | American Action Network | Group | Rep. | House, district not named | 76 | $315.5K | $52.8K | ~18M | 43% | 1 Sep | |
| 2 | Fortify New JerseyPaid for by Fortify New Jersey PAC | Group | Rep. | Governor, NJ | 1 | $12.5K | $12.5K | ~375K | 10 Oct | ||
| 3 | Realtors for Tom Kean Paid for by National Association of REALTORS® | Group | Rep. | House, district not named | 6 | $3K | $3K | ~142K | 7 Oct | ||
| 4 | America PAC | Group | Rep. | None | 1,444 | $6.8M | $2.3K | ~99.6M | 66% | 26 Oct | |
| 5 | Save Jefferson | Group | Rep. | Local, NJ | 8 | $596 | $448 | ~58K | 0.0% | 2 Jun | |
| 6 | Vote Sabosik, Veni, and CoulsonPaid for by Wood Coast Connections | Group | Rep. | Local, NJ | 7 | $347 | $347 | ~10.1K | 0.0% | 26 Oct | |
| 7 | Republican Assembly Campaign Committee (RACC)Paid for by Republican Assembly Campaign Committee | Group | Rep. | Legislature, WI | 228 | $105.8K | $298 | ~5.9M | 16% | 26 Oct | |
| 8 | NJ Business & Industry Association (NJBIA)Paid for by New Jersey Business & Industry Association | Group | Rep. | None | 4 | $898 | $150 | ~64K | 23 Sep | ||
| 9 | Maggie's ListPaid for by MAGGIE'S LIST | Group | Rep. | House FL-3 | 39 | $2.1K | $50 | ~366.5K | 2.6% | 23 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.