Adult TrafficSmith Jones, Performance Media Buyer
Last updated: 31 July 2026
I buy and monetise traffic for a living, and I have done it for fourteen years. Most of that time has gone into pop, push, in-page and native inventory rather than search or social, with campaign work concentrated in dating and VPN offers and sweepstakes buying focused on LATAM. On the other side of the auction I have run mediation for site owners whose inventory is part 18+ and part mainstream, which is where I learned that a payout floor and a payout schedule are two completely different problems. This page exists so you can judge which parts of this site rest on that experience and which parts rest on documents I read on a stated date.
What I have actually run
Pop and push campaigns at daily budgets between fifty and several thousand dollars, across Tier-1, Tier-2 and Tier-3 geos, with the usual mix of results: a handful that scaled, a larger number that died in week two, and several that lost money before I understood the format’s reserve mechanics. I have built and burned push subscriber bases, which is why the Adult Traffic page says plainly that a push list you did not build yourself comes with an age and a churn rate you inherit. On the publisher side I have watched reported impressions sit consistently below site analytics and traced the gap to antifraud filtering and ad blocking rather than to a network cheating.
What I test first hand and what I read
This distinction matters more than any credential, so I state it directly. Account-level mechanics, format behaviour, creative fatigue patterns and the practical consequences of payout schedules come from running campaigns. Deposit minimums, payout floors, payment schedules and refund clauses on the seven networks compared here come from those platforms’ own payment and terms pages, read on 31 July 2026, not from my account statements. Where a figure exists only in third-party publications it is labelled unconfirmed in the table, and where nothing reliable exists the cell is left empty.
What I will not write
I will not publish an invented measurement. No “I withdrew in 26 hours”, no screenshot-free revenue claims, no personal ROI figures I cannot evidence, because a precise number is exactly the kind of claim a reader can check and a competitor can disprove. I also will not describe a network I have never funded as though I had, which is why platforms I have not personally used are covered through their documentation and marked as such. If that makes a section less colourful than a competitor’s, that is the trade I am making on purpose.
How I approach a platform I have not used
Five checks, in the same order every time. Whether placement or source IDs appear in the reporting and can carry their own bid; whether fraud controls such as IPv6 exclusion, proxy filtering and frequency caps are switchable by me rather than promised by support; whether a fraud-refund policy exists in writing; what the terms document says about payouts as opposed to what the landing page implies; and whether server-to-server postback with a click-ID macro is supported. The reasoning behind each is on the main page, and the sourcing rule behind every figure is in how we check.
Where publisher-side experience changes the reading
Buyers and sellers read the same table differently, and having sat on both sides changes which column I look at first. As a buyer the deposit is a formality and the reporting depth decides everything, because a campaign that cannot be cut at source level is a campaign that quietly funds bad inventory. As a publisher the deposit is irrelevant and the payout schedule is the whole business, since the gap between an impression and its payment is working capital you have to finance yourself. That is why the comparison on this site carries both sides in one table rather than the buy side alone, which is how almost every competing article is built.
The mistakes that shaped how I read a network
Two are worth naming because they are common and expensive. The first was treating a minimum deposit as a test budget on a push campaign, not understanding that part of the balance is reserved against traffic arriving after the click, and running out of funds mid-test with no usable data. The second was buying Tier-2 volume that looked unusually strong in a single geo and taking three weeks to work out that a share of it was masked traffic from somewhere else entirely, with creatives in a language those users could not read. Both experiences are now sections on the main page rather than anecdotes, because the general lesson is worth more than the story.
Contact and conflicts
My professional profile is on LinkedIn, and editorial questions reach me through contact. One conflict of interest applies to everything I write here and is disclosed in full in the affiliate disclosure: this site earns commission from AdsCompass registrations. It is the reason AdsCompass appears as the worked example, and it is not the reason any figure in the comparison says what it says.
For the rest of the site: who publishes this and why is on the about page, the standards each page is written to are in the editorial policy, what can and cannot be bought is in the advertising policy. Beyond that, use of the site is governed by the terms and conditions, data handling is described in the privacy policy, cookie practice is described in the cookie policy.