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 Hampshire
220 pages · $3.3M on New Hampshire races
Dem. 52% · Rep. 44% · no side 4.1%
9 pages · 4,641 ads · $431.2K
| # | Page | Type | Side | Race | Result | Ads | Spend | In NH | Impressions | Attack | Last ad |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Committee to Elect House Republicans | Party | Rep. | Legislature, NH | 3,904 | $235.6K | $234K | ~9.9M | 6.5% | 26 Oct | |
| 2 | New Hampshire Senate Republicans | Party | Rep. | Legislature, NH | 226 | $127.6K | $127.6K | ~8M | 88% | 26 Oct | |
| 3 | NH Senate Democrats | Party | Dem. | Legislature, NH | 297 | $31.6K | $31.6K | ~2.2M | 100% | 26 Oct | |
| 4 | Granite State VoicesPaid for by NH House Democratic Victory Campaign Committee | Party | Dem. | Legislature, NH | 94 | $27.4K | $27.4K | ~1.6M | 0.0% | 26 Oct | |
| 5 | Goffstown NH DemocratsPaid for by Goffstown Democrats | Party | Dem. | Legislature, NH | 38 | $3.9K | $3.3K | ~459.7K | 31% | 26 Oct | |
| 6 | Coos Republicans | Party | Rep. | Legislature, NH | 45 | $2.2K | $1.8K | ~198.5K | 0.0% | 26 Oct | |
| 7 | Merrimack Democrats | Party | Dem. | Legislature, NH | 9 | $846 | $846 | ~310K | 33% | 19 Oct | |
| 8 | Salem, NH DemocratsPaid for by Salem Democratic Town Committee | Party | Dem. | Legislature, NH | 6 | $897 | $648 | ~51K | 67% | 26 Oct | |
| 9 | Carroll County Democrats of N.H.Paid for by Carroll County Democratic Party | Party | Dem. | Legislature, NH | 22 | $1.1K | $594 | ~50.2K | 52% | 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.