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

FederalStateBallot measuresLocalNo specific race✕ clear state
Candidate resultWonLostNot yet called

Filtered to Nevada

305 pages · $3.1M on Nevada races

Dem. 50% · Rep. 29% · no side 22%

Nevada on the map: races and candidates →

11 pages · 377 ads · $107K

#PageTypeSideRaceResultAdsSpendIn NVImpressionsAttackLast ad
1Kate MarshallPaid for by Committee to Elect Kathleen MarshallCandidateDem.Local, NV121$27.4K$27.3K~3.1M0.0%26 Oct
2Biggest Little City PACGroupDem.Local, NV10$15.6K$14.2K~709K28 May
3Tick Segerblom For County Commission Paid for by Tick Segerblom for County CommissionCandidateDem.Local, NV20$10.5K$10.5K~1.9M0.0%23 Oct
4Jon Killoran for Washoe County CommissionPaid for by Friends of Jon KilloranCandidateDem.Local, NV75$8.5K$8.5K~600K0.0%9 Jun
5Minddie LloydPaid for by Friends of Minddie LloydCandidateDem.Local, NV16$7.8K$7.7K~284.1K0.0%7 Jun
6Clark County Education AssociationGroupDem.Local, NV11$9.2K$6.6K~614.5K29%28 Sep
7Tanya Flanagan for RecorderPaid for by Committee to Elect Tanya FlanaganCandidateDem.Local, NV4$5.4K$5.4K~670K8 May
8Christian Solomon for Clark County CommissionPaid for by Friends of Christian SolomonCandidateDem.Local, NV18$3.4K$3.4K~135.5K33%4 Jun
9Daniele Monroe MorenoPaid for by The Committee to Elect Daniele Monroe-MorenoCandidateDem.Local, NV8$2.7K$2.7K~512.8K13%26 Oct
10Vote Jim GibsonCandidateDem.Local, NV1$2.2K$2.2K~162.5K26 Oct
11US Polling ResearchPaid for by US Polling Research LLCGroupDem.Local, FL93$14.2K$99~604.3K100%18 Aug

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.