Lunio

Lunio is ad fraud detection software that excludes bots, click farms and invalid users from search, social and display ads, priced by quote on ad spend.

Lunio stops advertisers paying for clicks from bots, click farms, competitors and other traffic that will never convert. It learns from click, context and conversion data, then keeps the offending users from seeing future ads. Lunio was founded by Neil Andrew and is based in Manchester, England, with further offices in London and Chicago. Protection runs channel by channel. On paid search it stops Google and Bing from serving ads to flagged users, and on Performance Max it applies automatic account-level IP blocking. Paid social protection uses automatic exclusions on Meta and other networks, while DV360 and Meta accounts can run in Monitor mode, which only reports, or Protect mode, which excludes. Detection looks past the IP address to robotic click patterns, mobile device spoofing, abnormal browsers, proxy traffic and IP rotation, and Waste Analysis sorts the invalid traffic by type. Affiliate fraud prevention validates every partner click and conversion before payouts are approved. Lunio is built for performance marketing teams and agencies running large budgets across several ad platforms. Agencies can manage many client accounts from one login, with separate admin and user controls. It is sold by quote, with a fee set as a small fraction of ad spend that grows with channel coverage, and quotes are open to advertisers above a minimum annual spend. Buyers can start with a traffic audit at no cost, which shows how far invalid traffic already affects their campaigns. Setup begins by connecting the ad accounts, from Google Ads, Microsoft Ads and SA360 on the search side to LinkedIn, TikTok, Reddit and Taboola elsewhere. Channels beyond Google also need the multiplatform tracking script on the advertiser's own site. From there the recurring work is cleaning Performance Max and display placements, checking affiliate traffic before each payout run and watching for rivals bidding on brand terms. Paid media managers use it so that the budget they report on reaches people rather than scripts.