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 Tennessee

494 pages · $2.5M on Tennessee races

Dem. 19% · Rep. 53% · no side 28%

Tennessee on the map: races and candidates →

12 pages · 233 ads · $96.1K

#PageTypeSideRaceResultAdsSpendIn TNImpressionsAttackLast ad
1Tennessee House RepublicansPaid for by TENNESSEE HOUSE REPUBLICAN CAUCUS, REBECCA ALEXANDER, TREASURER. NOT AUTHORIZED BY ANY CANDIDATE OR CANDIDATE'S COMMITTEE.PartyRep.Legislature, TN55$69K$69K~4.2M82%27 Oct
2Rep. Ronnie GlynnPaid for by Tennessee House Democratic CaucusPartyDem.Legislature, TN6$4.5K$4.5K~91K0.0%22 Oct
3Tennessee Republican PartyPaid for by TENNESSEE REPUBLICAN PARTY FEDERAL ELECTION ACCOUNTPartyRep.Senate, TN51$4.2K$4.2K~259.1K4.0%26 Oct
4Tennessee Senate Democratic CaucusPartyDem.Legislature, TN11$2.7K$2.7K~59.5K100%28 Jul
5Rutherford County GOPPaid for by RUTHERFORD COUNTY REPUBLICANPartyRep.Local, TN34$2.7K$1.7K~190.2K7.7%5 Aug
6Wilson County Democratic PartyPartyDem.Legislature, TN10$1.8K$998~109K30%26 Oct
7Knox County TN Republican PartyPartyRep.None12$2.2K$846~130.6K58%23 Oct
8Williamson County Republican PartyPartyRep.None4$4.6K$450~1M24 Oct
9Tennessee Democratic PartyPartyDem.Legislature, TN7$847$450~95.6K14%22 Jul
10Sumner County Democratic PartyPartyDem.None13$1.5K$446~148.5K0.0%26 Oct
11Germantown Democratic ClubPartyDem.None27$1.6K$396~89.9K4.2%24 Oct
12Rutherford County Democratic PartyPartyDem.Local, TN3$349$299~17.5K4 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.