About Us

Last updated: 5 August 2026

This site compares self-serve advertising networks on the numbers that decide whether a campaign or a monetization setup makes money: minimum deposit, minimum withdrawal, payout schedule, pricing models, ad formats and vertical policy. It exists because those numbers are widely republished and frequently wrong. Every figure published here is read from the network's own help center, terms of service or payment page, dated at the point of reading, and corrected in public when it changes. It is written for two groups: media buyers running push, popunder and native traffic, and site owners deciding where to place a tag.

Why this site was built

The comparison market for advertising networks copies itself. A figure published in 2023 gets lifted into a 2024 listicle, then into a 2025 directory entry, and by 2026 it appears in a dozen places with no one having checked the source in three years. During the research behind the main comparison, three deposit figures republished across current articles turned out to contradict the networks' own documentation, and one network was found publishing three mutually exclusive versions of its own account tiers across three of its own pages.

The damage lands on budgets. A buyer who plans a first test around a $50 entry point and arrives at a $150 requirement has lost the afternoon and possibly the campaign window. A publisher who integrates expecting weekly payouts and discovers a monthly cycle has a cash flow problem that no amount of CPM optimisation fixes. The response here is narrow: read the primary document, record the date, publish the number, log the correction.

What we publish and how

Comparison tables on this site carry factual columns only — launch year, minimum deposit, minimum publisher withdrawal, payout schedule, pricing models, buy-side formats. There are no scores, no star ratings and no ranked positions, because a single ordering implies a single metric, and no single metric serves an advertiser choosing on format coverage and a publisher choosing on payout speed at the same time.

Drawbacks are printed alongside strengths for every platform, including the one this site has a commercial relationship with. The main page states plainly that its publisher withdrawal threshold is ten times higher than two competitors and that its default payout cycle is slower than the weekly networks. Where sources conflict and the conflict cannot be resolved from public documentation, both versions are published with a note about which one we would trust and why.

Best Ad Networks is where all of this is visible in practice, one table cell at a time. Where a network publishes nothing at all, the page says so. Absence of data is reported as absence. No estimate gets substituted in from a directory entry. The full method, including the source hierarchy and the correction procedure, is set out in the editorial policy.

How the site is funded

Sign-up buttons point to AdsCompass and carry tracking parameters that identify this site as the referrer. An account opened through one of them may earn a commission. That is the only revenue model here: no display advertising, no sponsored placements, no paid links, no paid rankings, and nothing else for sale.

Separation between that relationship and the published data is enforced three ways, all of them checkable from the pages themselves. First, the factual columns of comparison tables cannot be altered for commercial reasons, and every figure in them is verifiable by any reader in minutes against the platform's own site. Second, drawbacks are named in full, in the same paragraphs that name strengths. Third, competitors are compared on identical criteria drawn from the same tier of sources. What the relationship does affect is emphasis: where the data supports a recommendation, the recommendation is stated openly, with the reasoning attached so a reader who weighs the criteria differently can land somewhere else.

Who writes here

All content is written by Smith Jones, a performance media buyer and analyst. Nine of those years have gone on push, popunder and native inventory for gambling, betting, dating and software advertisers across Tier 1 and Tier 3, alongside advising publishers on direct-tag and RTB monetization. There is no content team here and nothing is outsourced. The person who checked the figures is the person whose name sits on the page.

Experience claims on this site are limited to what was actually done — reading documentation, opening registration flows, comparing a network's own pages against each other. Campaign results, payout timings and conversion figures are not published unless they were measured, and none of that kind is currently published here. That restraint costs the site some persuasive material and keeps every published figure checkable.

Scope and limits

This site covers self-serve advertising networks in the performance segment: push, in-page push, popunder, native, banner, video and Telegram inventory. It does not cover programmatic demand-side platforms for brand budgets, search advertising, social platforms or affiliate networks, and it does not publish traffic estimates, revenue projections or forecasts of any kind.

None of it substitutes for the platforms' own documentation. Advertising terms change without notice, moderation policies shift faster than payout terms, and a figure verified in August can be stale by October. Pages carry the date they were checked so a reader can judge how much weight to give them. Material changes send us back to the source document. Nothing here is refreshed from memory.

Contact and corrections

Corrections are welcome from readers and from the networks compared here. A link to the documentation that proves a figure wrong is normally enough to get it fixed within one working day, and the change is logged with a date on the affected page. Questions about the funding model, the source hierarchy or anything else on this page can be sent through the contact page. The legal terms covering use of the site are in the terms and conditions, and what happens to visitor data, including the analytics used to see which comparisons get read, is described in the privacy policy.