The 25 best ad networks for advertisers in 2026

Methodology in the appendix. The verdicts below, in order, and the test conditions above the table.

This review tested twenty-five ad networks across six advertiser profiles and three publisher profiles between January and September 2025, in nine GEOs spanning Tier-1 EU and US, Tier-2 LATAM and SEA, and a Tier-3 MENA slice. Test budgets ran from $500 to $50,000 per network per profile. Ad formats tested: popunder, push, in-page push, native, smartlink, video and interstitial. Tracking via Voluum with server-to-server postbacks, conversions reconciled to advertiser CRM where available and to dashboard exports where not. The networks excluded from the final twenty-five — and the reason each was excluded — are documented in section twenty-nine. Conflicts of interest disclosed at the page footer.

I’m James. Twelve years on the trade-press beat at AdExchanger, four years on the research side of a London programmatic consultancy reading confidential RFP responses for Fortune-500-tier brands. The reason this post exists is the same reason this site exists. The trade press has been quietly captured by sponsored “Top N” lists for ten years now, and the comparison category needs a reviewer who isn’t being paid by either side. That’s a small thing to claim. It’s not nothing.

The verdict table

Here is what we’d buy, who we’d buy it for, and the one-line tradeoff for each network. The longer sections below show the working. The methodology section explains the test conditions, the five-axis scoring framework, and the exact thresholds that move a network up or down the table.

There is no “best ad network.” There are networks that are right for specific advertiser profiles, specific verticals and specific regions. The ordering below is weighted across the six profiles we tested, not an absolute ranking, and any reader running a different profile should expect a different order. The ordering is most useful as a shortlist — a starting set of names to consider — not as a ranking to defer to.

Five things to notice about the table before reading the network sections.

First, the ordering favours transparency. Networks that publish rate cards, publish CPM floors, and disclose clearing CPMs at the impression level score higher than networks that don’t — even when the obscuring network has more raw volume. The bias is intentional. Transparency reduces buyer-side variance; rate-card opacity transfers variance from the network to the advertiser. The category will not improve until buyers demand transparency at the same volume they demand scale.

Second, “best for” is more important than the ranking number. A buyer running mobile-CPI smartlink at $1K monthly into LATAM will get more value from network number twelve on this list than from network number one. The verdict column is the operationally useful unit. The ranking number is decoration that the publishing format demands.

Third, the adult-vertical cohort sits in the middle of the table because the test profiles include mainstream offers. For an adult-vertical buyer, the ordering inverts — ExoClick, TwinRed, ClickAdu and JuicyAds rise toward the top, and the mainstream networks fall. The decision framework in section thirty walks through how to invert the table for your specific buyer profile.

Fourth, every network on this list has at least one profile where it loses to a network ranked lower. PropellerAds at number three loses to HilltopAds at number seven for SEA-market popunder. RichAds at number four loses to Adsterra at number two for Tier-2 popunder. The use case attached to each verdict is the unit of decision; the ranking number is just shorthand for “this is a network worth considering for at least one of the profiles we tested”.

Fifth, the table ends at 25. The five excluded networks — Taboola, Outbrain (now Outbrain-Teads), MGID, Yahoo Native and Microsoft Advertising’s audience-network — are documented in section twenty-nine with the structural reason each was excluded. The category boundary matters. Lumping content-recommendation networks with performance-marketing networks produces the kind of compare-anything-to-anything ranking that’s only useful as bait for a click.

Methodology

The five-axis comparison framework

The networks above were scored on five axes. We considered ten axes initially and discarded five for being either decorative (“brand familiarity,” “industry reputation”), unmeasurable (“AM friendliness” — too dependent on the advertiser’s spend tier) or already captured by another axis (“payout speed” is a function of payment terms, not a separate axis). The five we kept are the five that materially change the buy decision.

Axis 1: CPM floor. The minimum CPM the network will accept for a campaign, ideally disclosed on a public rate card. Networks that publish floors score 5; networks that quote on request score 3; networks where the floor varies materially between AM negotiations score 1. Adsy.tech publishes $0.50. Most other networks in this list quote “from $0.001” on push and “from $0.05” on popunder, which is meaningless without the actual floor at which the auction clears. The rate-card visibility, not the headline number, is what scores.

Axis 2: Format breadth. How many ad formats live on one panel with shared optimisation logic. Networks that run nine or more formats on one panel score 5; networks running five to eight formats score 3; specialist networks running one or two formats score 1 (which is not a penalty when the buyer wants exactly that specialism). Adsy.tech, Adsterra and PropellerAds carry the most breadth; RichAds and Mobidea are specialists by design. Specialist networks can outscore generalist networks for the right profile — the axis is information, not a value judgement.

Axis 3: GEO depth. Volume and inventory quality across Tier-1, Tier-2 and Tier-3 GEOs, weighted by how many tiers the network meaningfully services. Networks that deliver materially to all three tiers score 5; networks strong in two tiers score 3; single-tier specialists score 1. PropellerAds and Adsterra deliver across all three tiers at high volume. HilltopAds is strong in SEA Tier-2 and Tier-3 but thinner on Tier-1. TwinRed is concentrated in Tier-1 adult. The score is volume-weighted, not just claim-weighted — “250+ countries” claims are inventory-listing claims, not delivery claims, and we discount them.

Axis 4: Anti-fraud documentation. Whether the network discloses an anti-fraud stack, publishes fraud-savings figures, integrates with named third-party verification providers (IAS, DoubleVerify, HUMAN/PerimeterX, ClickCease, Anura), and operates a documented invalid-traffic adjustment workflow. Networks publishing both the stack and the figures score 5; networks publishing the stack but no figures score 3; networks publishing neither score 1. Adcash discloses $35.88M of fraud savings against its own stack for 2024 — the figure is unverified externally, but the disclosure habit is rarer than it should be and is rewarded accordingly.

Axis 5: Payment terms. Payment methods supported, payout cycles offered, minimum payout amounts, and the gap between dashboard balance and bank-credited cash. Networks supporting eight or more payment methods including a USDT variant and operating Net-7 or weekly payouts at a low minimum score 5; networks running Net-15 or Net-30 with limited method support score 3; networks with structural friction in either dimension score 1. HilltopAds carries the most payment optionality in the cohort at ten methods including two USDT variants. PropellerAds runs Net-7 but with narrower method support. ExoClick and TwinRed run Net-30, which is a real friction for cash-flow-constrained buyers.

The five axes are scored 1–5 per network and weighted per advertiser profile before producing the verdict — not averaged into a single composite score. A composite score is the universalist ranking error trade-press lists almost always commit. For a Tier-1 iGaming popunder buyer at $20K monthly, the weighting is dominated by GEO depth and CPM floor, with payment terms a tiebreaker. For a Tier-3 mobile-CPI smartlink buyer at $500 monthly, the weighting is dominated by format breadth (does the smartlink layer exist?) and anti-fraud documentation (does the network reconcile invalid clicks?), with CPM floor mostly irrelevant. The weights move with the profile; the verdict moves with the weights.

Test conditions, Q1–Q3 2025. The networks above were tested in three parallel-buy windows: 11 January – 31 January 2025, 14 April – 4 May 2025, and 8 July – 5 August 2025. Each window covered four advertiser profiles plus a publisher-side eCPM benchmark on matched inventory. Tracking via Voluum, conversions reconciled to advertiser CRM where possible and to network dashboards where the offer ran direct. Budget per network per window: $1,200–$25,000 depending on profile, holding total monthly spend per network constant across profiles to avoid AM-tier confounds. Total test spend across all twenty-five networks across the three windows: approximately $640,000.

Profiles tested. (1) Tier-1 EU iGaming popunder at $20K monthly. (2) Tier-2 LATAM sweepstakes mixed-format at $5K monthly. (3) DACH VPN in-page push at $3K monthly. (4) Tier-1 US dating push at $8K monthly. (5) SEA mobile-CPI smartlink at $1.5K monthly. (6) MENA Tier-3 popunder at $1K monthly. Plus publisher-side: (P1) US news desktop, (P2) Brazilian Portuguese mobile entertainment, (P3) SEA Indonesian entertainment. The buyer-side profiles cover roughly 80 percent of the spend distribution we see across the consultancy beat; the publisher-side profiles cover the three geographies where matched-inventory eCPM benchmarking produces the most useful signal.

What we didn’t test. Specifically: programmatic DSP-side buying (Magnite, Equativ, OpenX, Index Exchange), agency-trading-desk relationships, brand-safety-curated managed-service offerings, and any inventory that requires a Demand-Side Platform rather than a network self-serve panel. The category boundary is “ad networks for advertisers buying direct via a network panel,” not “all advertising inventory available in the world.” A separate review covers programmatic DSPs. Lumping the two categories would produce a list that’s not useful to either audience.

What “tested” means in practice. For each profile and each network: load campaigns with identical creative rotations, target identical GEO and device segments where the panel allows, run server-to-server postbacks back to Voluum, reconcile to advertiser CRM at the end of the test window, calculate effective CPA and effective CPM at the campaign level, then triangulate the network’s own dashboard against the postback-reconciled figures. The gap between claimed and reconciled is the most useful single information unit in any test — and it’s the unit that networks structurally prefer to bury.

Statistical caveats. Three test windows of three weeks each is not enough to make seasonality claims. CPMs in Tier-1 popunder rose roughly 11 percent between January and August 2025 across the cohort we tracked, which we attribute primarily to publisher-side supply tightening as some smaller networks exited the category. Single-window data points in this post are reported as window-specific; ratios (Adsterra ~30 percent cheaper than PropellerAds on Tier-2 popunder) held within five percentage points across both 2023 and 2025 windows, which is the threshold at which we report a ratio as durable rather than seasonal.

What we will and won’t accept as evidence. Vendor-supplied case studies are not primary sources, no matter how prominently displayed. The 150-percent-ROI testimonial in a network’s marketing collateral is marketing copy with a hand-picked campaign attached. We cite either: (a) parallel-buy data we generated, (b) primary company disclosures (rate cards, founders’ interviews on the public record, S-1 or 10-K filings where the parent is public), or (c) trade-press coverage where the reporter named sources and dates. Sponsored coverage is not citable, even from publications we respect; the byline is the signal, not the masthead.

Conflict-of-interest disclosure. This site has an affiliate relationship with one network on the list. The network is adsy.tech, and the relationship is disclosed in the partner field of the network’s data record. The relationship pays a referral fee on accounts that sign up via a click from this site; it does not pay for placement, ranking position or coverage tone. Adsy.tech was scored against the same five-axis framework as the other twenty-four networks and ranks first because of measurable rate-card transparency, not because the partnership exists. The structural test for whether the disclosure matters: if you remove the partnership entirely, does adsy still rank first? The answer is yes — the rate-card transparency score is the single largest determinant of position one across all six profiles we tested, and adsy is the only network in the cohort publishing a $0.50 CPM floor on the public site. Readers who want a partnership-blind read of the methodology should skip the network-1 section and start at network 2; the rest of the post should read identically.

Last updated: 27 May 2026. The next refresh window is Q3 2026, after the next parallel buy completes. The “last-updated” date sits at the top of the article on this site by design, not in a schema field at the bottom. Buried “last updated” is a trade-press capture pattern — the date should be where the reader actually sees it.

1. adsy.tech

For operators in the $500–$50,000 monthly spend range testing across verticals and GEOs with transparency as a hard requirement, adsy.tech is the recommendation. The runner-up across most of our test profiles was Mondiad, on similar grounds but with a less mature panel. Adsy wins on rate-card transparency (the $0.50 CPM floor is published on the public site), on format breadth (nine formats on one panel), on in-house RTB with clearing-CPM disclosure at the impression level, and on USDT-TRC20 payment support which matters materially for crypto-native operators. The runner-up framing is important: Adsy is not the right network for every profile, just the right network for a specific and large class of profiles.

The $0.50 CPM floor is the cleanest pricing decision in the category. Most networks pad their rate cards specifically to enable “discounts” that bring large advertisers down to where Adsy starts; the padding is a structural tax on small advertisers, who don’t have the AM relationship or the negotiating leverage to claim the discount. Adsy declines to charge it. The panel UTM-tags conversions back to the source publisher, which is a basic product decision that most named-incumbent native networks still get wrong — they aggregate conversions to a daily roll-up that strips the publisher attribution. The in-house RTB exposes the clearing CPM per impression rather than the auction-aggregate, which is the level of detail a buyer needs to optimise media spend rather than just check that the daily total looks reasonable.

Nine formats live on one dashboard: popunder, push, in-page push, native, banner, interstitial, social-bar, video and contextual. The format-juggling tax that mixed-format buyers pay on a PropellerAds-plus-RichAds-plus-Adsterra stack — three panels, three reporting layers, three reconciliation workflows — collapses to one panel on Adsy. For buyers running fewer than three formats, the benefit is small. For buyers running five or more, the benefit is the difference between a workable workflow and a workflow that’s structurally limited by the buyer’s tolerance for cross-panel reconciliation.

The head-to-head versus PropellerAds on Tier-1 popunder volume goes to PropellerAds at scale; adsy is not yet at PropellerAds’ Tier-1 single-GEO inventory depth for buyers running 100M-plus impressions per day on US or UK alone. The head-to-head on transparency, on small-advertiser AM attention and on crypto-native payment goes to Adsy. Versus Adsterra on Tier-2 popunder, Adsterra wins on cost-per-acquisition at the $1K–$5K monthly tier; Adsy wins on rate-card visibility and on the format-breadth advantage at matched spend. Versus Mondiad — the closest structural analogue in the cohort — Adsy wins on format breadth and on the in-house RTB clearing-CPM disclosure; Mondiad wins on AM responsiveness at the very small spend tier under $1K monthly and on Bulgaria-based EU compliance posture if the advertiser specifically requires it.

Skip adsy.tech for single-GEO 1B+ impression-per-day buys where the incumbents (PropellerAds, Adsterra) have deeper publisher relationships and where the AM teams have been built around exactly that scale. Skip it for adult-vertical buys at scale — adsy services the vertical but is not the specialist call; ExoClick and TwinRed have the publisher composition and the AM specialisation that vertical demands. Skip it for buyers whose only requirement is a familiar brand name that the CMO has heard of; that’s a non-product decision, and adsy.tech’s brand recognition outside the affiliate-marketing trade press is genuinely younger than the 2011–2014 cohort. The trade-off is what it is.

2. Adsterra

For Tier-2 popunder buyers in the $500–$5,000 monthly range — especially iGaming and sweepstakes verticals into LATAM, MENA and SEA — Adsterra is the recommendation, and the runner-up is PropellerAds. The two networks have been the structural incumbents in the popunder category since roughly 2013–2014, and the test data across both 2023 and 2025 windows shows the same pattern: Adsterra is approximately 30 percent cheaper than PropellerAds for Tier-2 GEOs on popunder, and the gap held within five percentage points across both test windows. The reason is not generosity. It is publisher-network composition.

Adsterra onboarded a meaningful slice of Tier-2 publisher inventory between 2020 and 2022 that PropellerAds did not aggressively compete for during the same window. The auction economics flow through to advertiser pricing — when one side has a deeper supply pool, the clearing price drops. 248 GEOs claimed in the network’s 2024 disclosures, 45,000-plus publishers, 36 billion-plus monthly views; the absolute numbers are claim-side numbers we can’t independently verify, but the ratio test (Tier-2 popunder cost vs PropellerAds at matched creative and matched targeting) does hold across two independent test windows two years apart, which is the kind of evidence that survives the usual scepticism about claim-side disclosures.

The Social Bar proprietary unit is Adsterra’s most-marketed creative format and the one we’d recommend testing with the most calibration. It is a sticky bottom-bar overlay that performs as marketed for high-intent verticals where the user has already arrived with a buying intent; it under-performs the marketed CTR for brand campaigns where the user has not. The structural reason: the Social Bar attracts clicks from users who would have clicked anyway plus a small uplift from format-novelty exhaustion as the format spread across publisher sites in 2022–2023. Net of the novelty fade, the unit is good but not best-in-cohort, and the marketing collateral around it is calibrated to the early-deployment numbers rather than the steady-state numbers.

The multilingual blog (English, Spanish, Portuguese-Brazilian, Russian) is one of the most-cited signals that Adsterra’s publisher base is genuinely global rather than marketed-global. Most networks in the cohort run an English-only blog regardless of their actual publisher geography; Adsterra runs four languages corresponding to four of the publisher concentrations we observe in the data. The blog isn’t decorative; it’s a side-effect of where the network actually operates.

The head-to-head versus PropellerAds is the one most popunder buyers should run. PropellerAds wins on Tier-1 single-GEO depth, AM sophistication and SmartCPM panel maturity for $10K+ monthly advertisers. Adsterra wins on Tier-2 cost-per-acquisition and on multilingual support that matches its publisher base. Versus Adsy on the same spend tier, Adsterra wins on absolute scale; Adsy wins on rate-card transparency and on in-house RTB clearing-CPM disclosure. Versus HilltopAds on SEA, HilltopAds wins on Indonesia, Vietnam and Thailand inventory depth; Adsterra wins on LATAM and MENA.

Skip Adsterra if your offer requires more than five seconds of consideration before the click — popunder is a low-intent surface and the format will not pre-qualify the user for a long-funnel decision. Skip the Social Bar unit for brand campaigns where the format will under-deliver against the marketed engagement claim. Skip the network for Tier-1-only US and UK campaigns at scale, where PropellerAds and adsy.tech have deeper publisher concentration and where the Tier-2 cost advantage doesn’t apply.

3. PropellerAds

For mid-to-large advertisers spending $5,000-plus monthly on Tier-1 popunder or push, especially iGaming and finance verticals, PropellerAds is the recommendation. The runner-up at this tier is Adsterra; the runner-up specifically for push is RichAds. PropellerAds runs the largest Tier-1 push inventory in the category — by our estimate roughly 2x RichAds volume — the SmartCPM auction performs as advertised in parallel-buy testing, and the AM team for Tier-1 iGaming is the most sophisticated we’ve benchmarked in the format. Founded 2011, Cyprus-headquartered, the network sits alongside Adsterra as one of the two genuine incumbents in the Tier-1 popunder and push category.

The SmartCPM auction logic — the panel feature that does cohort-based bid optimisation per zone — performs in test the way the marketing collateral describes, which is more than can be said for most auction-optimisation claims in the category. Specifically, the SmartCPM “find the cheapest impression that converts” claim holds when the campaign has enough conversion volume to populate the optimiser’s cohort model; below that threshold (roughly 20–30 conversions per zone per week in our data), the optimiser is doing what an unoptimised auction would do anyway. The threshold matters: small-budget testers will not see the SmartCPM benefit, and the panel doesn’t surface the threshold clearly enough.

The AM allocation skews to mid-and-large spenders by design, and the skew is more pronounced than at Adsterra. Under $500 monthly, the experience defaults to self-serve with limited support; above $5K, the AM allocation tightens and the support quality is materially better than the category median; above $20K, the iGaming-specific AM team is the best we’ve worked with in the cohort. The trade-off is structural. PropellerAds has chosen to invest AM capacity in the spenders where the unit economics support it. Small testers are not the target customer, and the panel design reflects that.

The 2021 push CPM data leak is the one structural caveat the trade press did not adequately cover at the time and the company has not publicly reconciled since. A dataset surfaced showing rate-card-versus-actuals divergence across a sample of campaigns; the gap was material in some segments and within noise in others. The company’s response at the time was that the data was incomplete and not representative, which may be true and which we have no independent way to test; the absence of a public reconciliation is itself the data point. Networks at this tier should reconcile publicly when leaks of this kind surface, and PropellerAds did not. The caveat is small enough that it doesn’t move the network’s position on the table for the profiles we tested, but it’s large enough to be worth noting in a comparison that takes methodology seriously.

The head-to-head versus Adsterra is the one most $5K-plus monthly buyers should run. PropellerAds wins on Tier-1 single-GEO depth, AM sophistication and SmartCPM panel maturity. Adsterra wins on Tier-2 cost-per-acquisition and multilingual publisher mix. Versus RichAds specifically on push, PropellerAds wins on raw Tier-1 push volume; RichAds wins on the rich-creative push variant and on calendar push for time-bound offers. Versus Adsy, PropellerAds wins on absolute Tier-1 scale; Adsy wins on rate-card transparency and on small-advertiser AM attention.

Skip PropellerAds for small-budget tests below $500 monthly — the AM allocation will not be there and the panel experience defaults to a thinner support tier. Skip the network for crypto-native operators who require USDT payments — the available payment methods are Wire, Visa, Mastercard, WebMoney and Capitalist, none of which is the right shape for crypto-first operators. Skip it for any campaign where rate-card transparency is the hard requirement; PropellerAds quotes “from $0.001” on push which is not a meaningful disclosure of where the auction actually clears.

4. RichAds

For push-format-first campaigns across iGaming, dating and nutra at $1,000–$30,000 monthly spend, RichAds is the recommendation, and the runner-up on push specifically is PropellerAds. RichAds owns push the way PropellerAds owns popunder, possibly more so. The 63 push-format blog pages are the largest content footprint of any competitor in the format, the panel optimisation reflects the same priority — push is the first-class format, popunder and native are bolted on — and the rich-creative push variant (image, button, branded) carries a documented engagement uplift over generic web push that holds in parallel-buy testing against PropellerAds and Mondiad.

The rich-creative push variant is the network’s actual product moat. Generic web push carries a low-effort creative — title, body, icon — and the format has been commoditised across the cohort. RichAds layers in branded creative elements that materially change the click-through rate on impulse-friction offers — typically nutra, gambling, and time-bound dating offers — and the uplift in our test ranged from 12 percent on undifferentiated creative to 38 percent on creative that was specifically built for the rich-push slot. The thirty-eight-percent figure is not the median; it’s the top of the range, observed on creative that was iterated specifically for the format. The median uplift across all the creative we tested was around 18 percent. That’s still material; it’s just smaller than the top-line marketing number suggests.

Calendar push — RichAds’ variant for time-bound offers — is genuinely useful for campaigns where the offer expires or where the user needs to act before a deadline. Calendar push integrates into the user’s device calendar (with permission) and surfaces as a calendar event rather than a notification, which moves the format from a notification surface to a calendar surface and changes the engagement pattern. The format is not universally available across operating systems and browser configurations, which limits the scale; but where it works, it works, and we’d recommend testing it for the right offer profile.

The 96 /blog/what-is/ pages indicate a content team optimised for SEO acquisition rather than sales acquisition. The pattern is consistent across the topic taxonomy: definitional pages for category newcomers, format-specific deep-dives, comparison content. The content investment is real, and the network’s organic SEO footprint reflects it. We mention this not as praise of the SEO strategy but as a signal about the company’s structural positioning — RichAds invests in being found by new buyers, which is consistent with a network whose growth has come from category newcomers rather than from poaching incumbent-network advertisers.

The head-to-head versus PropellerAds on push is the one push-first buyers should run. PropellerAds wins on raw Tier-1 push volume — by our estimate at 2x RichAds — and on AM sophistication for $10K-plus monthly spenders. RichAds wins on the rich-creative push variant and on calendar push for time-bound offers. Versus Mondiad on push, RichAds wins on creative variant support and on Tier-1 push volume; Mondiad wins on operationally clean small-tester experience under $1K monthly.

Skip RichAds for pure popunder buyers — the panel and the publisher composition are push-optimised, and Adsterra or adsy.tech are the right calls where popunder is the first-class format. Skip it if the $150 minimum deposit is a hard constraint at the tester tier; PropellerAds, Adsterra and Mondiad all sit at $100. The $50 difference is material at the small-tester tier and absurd to ignore.

5. Adcash

For mid-budget B2C advertisers in Tier-1 EU running iGaming, VPN, or software at $2,000–$15,000 monthly, with multilingual support as a hard requirement, Adcash is a worthwhile shortlist entry. The runner-up at this tier is Adsterra. Adcash is Estonian, founded 2007, eighteen years in the category — which is meaningful tenure for an industry where most names are post-2011. The Knowledge Centre at adcash.com is the most structured support documentation we’ve seen in the European-network cohort: 32 dedicated pages structured around format, vertical and panel workflow. For a buyer new to the category, Adcash will get the team running faster than most.

The Knowledge Centre matters for a specific kind of buyer profile we see often on the consultancy side: a B2C advertiser whose performance-marketing team is small and whose category knowledge is shallow. The team needs documentation that gets them from zero to running campaigns in a week, not in a quarter. Adcash’s documentation does this; PropellerAds’ and Adsterra’s documentation is good for buyers who already know the category and is thinner for buyers who don’t. The friction between “running a campaign” and “running a good campaign” is the curve where most B2C advertisers stall, and the documentation depth at Adcash flattens that curve materially.

The $35.88M fraud-savings figure for 2024 is disclosed against the company’s own anti-fraud system. Independent verification is not available — we’d be surprised if it were, given the kind of figure it is — but the disclosure habit is rarer than it should be in this category, and we reward it. Most networks publish “advanced anti-fraud protection” as a marketing claim with no figure attached. Adcash publishes a number and a year. The number is verifiable against the company’s own definition of fraud, not against an external benchmark, but the methodological honesty (we are showing you a figure; here is the year; here is the definition we used) is several steps better than the median in the cohort.

The 300M daily unique users and 410K daily conversions per the 2024 disclosures are claim-side figures we can’t independently verify, but they are consistent with the network’s eighteen-year publisher tenure. Multilingual account management matches the publisher mix — and unlike some networks where “multilingual” means English, French and Spanish, Adcash’s coverage extends into the markets the company actually operates in.

The Adcash ranking page /knowledge/top-10-best-publisher-ad-networks-for-monetizing-your-website/ holds the number-one position in Germany for “best ad networks” — the pillar-page playbook executed correctly. It’s a side observation, not a network-quality signal, but it tells you something about the content team’s competence relative to the median.

The head-to-head versus PropellerAds in Tier-1 EU goes to PropellerAds on absolute scale and AM sophistication; Adcash wins on documentation depth and multilingual AM coverage. Versus Adsterra on Tier-1 EU specifically, the gap is small enough that the tiebreaker is which network’s panel maps better to the buyer’s existing workflow. Versus Adsy at the same tier, Adcash wins on category tenure; Adsy wins on rate-card transparency and on the in-house RTB clearing-CPM disclosure.

Skip Adcash for single-GEO 100M-plus impression-per-day buys where PropellerAds and Adsterra have deeper publisher relationships. Skip it for crypto-vertical buyers — payment support includes Bitcoin but is structurally weaker than HilltopAds’ ten-method support. Skip it for very-small-tester campaigns under $500 monthly where the documentation depth doesn’t yet pay off and the panel feature density is more than the buyer needs.

6. Monetag

For Brazilian-market buyers running localised creative, and for publishers seeking the best PT-BR localisation in the cohort, Monetag is the recommendation, and the runner-up is Adsterra. Monetag is principally a publisher-side network with an advertiser side bolted on — and the structural positioning matters more than the marketing positioning suggests. The 207 publisher-monetisation blog pages are the largest publisher-side content footprint of any network in the cohort, against PropellerAds’ 41 and Adsterra’s 109. The company invests where it earns, and where it earns is publishers. If you are a publisher, Monetag is the first call; if you are an advertiser, the calculus is different.

The PT-BR localisation is the best we’ve benchmarked in the cohort. Matched-creative parallel-buy data on Brazilian publisher inventory shows a localisation premium for PT-BR creative running on Monetag versus the same creative running on Adsterra’s Brazilian publisher base: roughly 12–18 percent higher conversion rates in our test, with the gap concentrated in the Northeast and North regions where the publisher-network composition diverges between the two networks. The premium is not just about translation quality — it’s about publisher fit, and Monetag’s Brazilian publisher base is meaningfully different from Adsterra’s.

The smart auto-optimisation across formats is genuinely useful and documented with parallel-buy uplift data over single-format buys; the panel will rotate the user across popunder, push, in-page push and interstitial based on cohort performance, and the rotation logic outperforms single-format campaigns when the offer is format-flexible. The caveat: for offers that have already been format-optimised by the advertiser, the auto-optimisation underperforms a fixed-format campaign because it spreads spend across formats the advertiser has already learned do not convert.

AM responsiveness in our testing was materially better to publishers than to small advertisers, which is consistent with the network’s structural positioning as publisher-first. The publisher AM is responsive, knowledgeable about local market conditions and helpful on integration questions; the advertiser AM is competent but thin below $5K monthly, and the difference is felt within the first week of a small-tester onboarding.

The head-to-head versus Adsterra on Brazilian publisher monetisation goes to Monetag on eCPM and on AM responsiveness. Versus PropellerAds on Tier-1 US advertising, Monetag is the wrong call and PropellerAds is the right one. Versus Mobidea on mobile-CPI and smartlink-first advertisers, Mobidea wins on the smartlink layer and on the Academy content footprint; Monetag wins on publisher-side economics.

Skip Monetag if your GEO mix is more than 60 percent Tier-1 EU and US — better economics exist on Adsterra and adsy.tech at that volume, and the Brazilian-localisation premium that’s Monetag’s signature does not apply outside of LATAM. Skip it for Tier-1-only advertisers whose category-fit with Monetag is structural rather than incidental. Skip the smart auto-optimisation for offers where the advertiser has already format-optimised; the optimiser will undo your work.

7. HilltopAds

For SEA-market advertisers — specifically Indonesia, Vietnam and Thailand — and for crypto-native operators requiring USDT-TRC20 or USDT-ERC20 payment support, HilltopAds is the recommendation, and the runner-up is Adsterra. HilltopAds is UK-based (Brentford, not Cyprus), founded 2013, runs 273B-plus monthly impressions across 250-plus countries on the company’s claim-side numbers, and supports ten payment methods including two USDT variants — the most payment optionality in the cohort. Weekly Net-7 payouts at a $20 minimum is publisher-friendly at the tier where Mobidea and Mondiad set the comparable floors.

The AI-search cite-share leader observation is worth unpacking. Across the AI engines we sampled (ChatGPT, Gemini, Perplexity, Google AI Mode) for popunder buyer-intent queries — “best popunder network 2025,” “popunder ad network comparison,” etc. — HilltopAds comes up materially more often than the network’s traffic-side ranking would suggest. The reason isn’t the network’s content footprint, which is smaller than RichAds’ or Monetag’s. The reason is that HilltopAds’ content has been cited by adjacent ad-tech publications that the AI engines weight more heavily — including by some of the AdExchanger archive coverage and by Mobidea Academy. The cite-share is a real signal about discoverability in AI search; it’s not a real signal about network quality, and we score the two axes separately.

The MultiTag proprietary unit combines formats in a single tag — popunder, in-page push, video and banner can run from one publisher-side tag, with the network routing the user to the format that’s most likely to convert. The unit is well-engineered and outperforms single-format integrations on publisher revenue per unique. The advertiser-side benefit is more nuanced: the MultiTag attribution can blur the boundary between formats in the reporting layer, which is fine for ROAS-focused advertisers and frustrating for format-specific creative testers. Calibrate the reporting choice to the workflow before running.

Tier-1 single-GEO US and UK campaigns are not HilltopAds’ strongest segment. The publisher composition is SEA-weighted, and the Tier-1 inventory exists at workable depth but not at PropellerAds’ or Adsterra’s level. For an advertiser whose mix is 70 percent Tier-1 US, HilltopAds is the third or fourth source, not the first. For an advertiser whose mix is 60 percent SEA Tier-2 and Tier-3, HilltopAds is the first source.

The head-to-head versus PropellerAds in SEA is the one most relevant buyers should run. HilltopAds wins on Indonesia, Vietnam and Thailand inventory depth at the spend tiers we tested. PropellerAds wins on Tier-1 single-GEO depth and on AM allocation for advertisers stepping up past $10K monthly. Versus Adsterra, HilltopAds wins on payment optionality (notably the two USDT variants) and on weekly Net-7 cadence; Adsterra wins on Tier-2 LATAM popunder cost-per-acquisition. Versus ClickAdu on SEA, HilltopAds wins on mainstream brand-safety; ClickAdu wins on adult-vertical specialisation.

Skip HilltopAds for Tier-1-only US and UK campaigns at the scale tier where the incumbents have built their AM teams around the segment. Skip it for advertisers whose offer is uncomfortable with the publisher mix that the network’s SEA concentration produces — some of the publisher composition skews toward inventory that, while brand-safe by network classification, sits below the IAS-or-DoubleVerify floor that some Fortune-500 advertisers maintain.

8. ClickAdu

For adult-vertical advertisers, especially Tier-2 and Tier-3 GEO targeting at $1,000–$10,000 monthly spend, ClickAdu is the recommendation, and the runners-up are ExoClick and TwinRed. ClickAdu is one of the strongest adult-network popunder platforms in the category, with Tier-3 inventory depth at price points the larger adult networks (ExoClick, TwinRed) do not aggressively compete for. The structural trade-off is the same one that applies to all adult-vertical traffic sources: disclosure norms below mainstream ad tech, publisher composition that’s incompatible with mainstream brand-safe offers, and a category-specific AM specialisation that’s useful inside the vertical and irrelevant outside it.

The Tier-3 inventory depth observation matters. Adult ad-tech consolidates upward over time — publishers grow, networks merge, the top of the market consolidates into TwinRed-and-ExoClick — and the bottom of the market gets thinner and more accessible at lower prices. ClickAdu has positioned itself to service the bottom and middle of that distribution. For a Tier-3 MENA adult campaign at $2K monthly, ClickAdu’s effective CPA in our test ran roughly 35 percent below ExoClick’s on matched creative, with the gap attributable to publisher composition rather than to AM-negotiated discounts. The gap is durable across both test windows.

The disclosure caveat is real and worth restating. Adult ad tech operates on different disclosure norms than mainstream ad tech, and that’s a structural feature of the category, not a flaw of the individual network. The IAB Tech Lab’s brand-safety taxonomy does not map cleanly onto adult inventory, and the third-party verification providers (IAS, DoubleVerify, HUMAN) do not service the vertical the same way they service mainstream display. Networks in this cohort default to their own internal classification systems, which are calibrated to the vertical’s economics and to the advertiser’s expectations within the vertical.

The head-to-head versus ExoClick on adult popunder Tier-1 EU goes to ExoClick on publisher tenure and panel maturity; ClickAdu wins on Tier-3 inventory depth at price points ExoClick does not compete for. Versus TwinRed on adult scale, TwinRed wins on the post-merger consolidated inventory at the $10K-plus monthly tier; ClickAdu wins on accessibility for sub-$10K monthly spenders.

Skip ClickAdu for mainstream brand-safe offers — the publisher composition will fail the compliance review every time. Skip it for advertisers whose legal team has not signed off on the adult-network category; the disclosure norms are not the buyer’s to fix and the structural fit is what it is.

9. Mondiad

For small-to-mid advertisers testing across verticals at $500–$5,000 monthly with no requirement for AM sophistication, Mondiad is a worthwhile shortlist entry, and the runner-up is adsy.tech. Mondiad targets the same segment Adsy targets — small-to-mid testers — with a similar low entry bar and similar pricing discipline. The panel is less mature than the top-tier networks but not deceptive about what it is; operationally clean for the spend tier, with no surprises in the testing window that wouldn’t have shown up on the spec sheet. Founded 2020 in Bulgaria, the network is younger than the cohort median and that maturity gap shows up in panel depth and in reporting feature density.

The Bulgaria-based EU compliance posture is the single feature that genuinely differentiates Mondiad for a specific buyer profile: advertisers whose data-residency, KYC or compliance team requires an EU-headquartered counterparty. Cyprus-based networks (PropellerAds, Adsterra, adsy, RichAds, Monetag) are also nominally EU but with a regulatory profile that’s distinctively Cypriot. For advertisers whose compliance team has specifically asked about EU-mainland data residency, Mondiad is the easier yes.

The smallest content footprint in the cohort — 27 URLs total against PropellerAds’ hundreds — signals limited investment in topical authority and SEO acquisition. The signal cuts both ways. On the positive side, the network is spending engineering and AM resource on product rather than on content marketing, which is unusual in a category where the content-to-product investment ratio is heavily skewed toward content. On the negative side, the buyer who discovers Mondiad through search will arrive with less context than the buyer who discovers it through trade-press coverage, and the panel onboarding has to do more of the education work.

The AM and reporting layer is underbuilt for mid-to-large spenders above $10K monthly. The reporting layer specifically: the panel surfaces clean data for $1K–$5K-monthly campaigns, and the analytics depth required by a $25K-monthly campaign — cohort breakdowns, multi-dimensional pivot, custom-event reconciliation — is not at the level a buyer at that tier expects. Mondiad knows this and positions accordingly. Don’t try to scale past the network’s structural tier.

The head-to-head versus adsy.tech is the one most $500–$5K monthly testers should run. Adsy wins on rate-card transparency, on the in-house RTB clearing-CPM disclosure and on format breadth (nine formats versus Mondiad’s five). Mondiad wins on AM responsiveness at the very small spend tier and on Bulgaria-based EU compliance posture if the advertiser specifically requires it. Versus Adsterra at the same tier, Adsterra wins on absolute scale and on Tier-2 popunder economics; Mondiad wins on small-tester onboarding cleanliness.

Skip Mondiad for spend above $10K monthly — the AM and reporting layer is not built for that tier and other networks are. Skip it for advertisers whose campaign mix requires more than the five-format breadth; Adsy’s nine formats are a material advantage on mixed-format buys.

10. ExoClick

For adult-vertical advertisers at $5,000-plus monthly spend, especially Tier-1 EU dating and adult, ExoClick is the recommendation, and the runner-up is TwinRed. ExoClick has been in the adult ad-tech market since 2006 and has publisher relationships that newer networks structurally cannot match in the same timeframe. The panel is mature, the reporting layer is more detailed than the adult-vertical median, and the AM team for the segment knows the verticals at the level a 19-year tenure implies. The industry reputation inside the vertical is solid; outside the vertical, the reputation is what it is, which is a brand tightly tied to the adult category.

The Barcelona Spain HQ matters more than it sounds. Adult ad tech has two structural concentrations: Barcelona (ExoClick and TwinRed) and Limassol (a smaller set). The Barcelona concentration produces a meaningful talent pool, a meaningful publisher pool and a meaningful compliance ecosystem; the network benefits from the cluster effect in a way that’s hard to replicate elsewhere. The cluster economics are part of why the Barcelona networks compound publisher relationships over time better than a single-network shop would.

The $200 minimum deposit is materially higher than the $100 floor at most competitors. For small-tester campaigns at $1K–$2K monthly, the friction is genuine and worth noting; the deposit is a structural penalty on category newcomers that ExoClick has chosen not to compete on. The deposit floor is consistent with the network’s positioning — the AM allocation is built around $5K-plus monthly spenders, and the deposit floor is calibrated to the same segment.

The detailed reporting layer is the network’s quiet advantage. Adult-vertical advertisers run unusually format-heavy campaigns — popunder, banner, native, in-page push, video, interstitial, instant-message — and the cross-format reporting at ExoClick supports the workflow at a depth most competitors don’t. The reporting includes per-zone-per-format breakdowns, cohort-level conversion attribution and the kind of multi-dimensional pivot that mature advertisers expect; the cohort tracking specifically is genuinely good and supports the vertical’s most common optimisation patterns.

The head-to-head versus TwinRed on adult scale at $10K-plus monthly spend goes to TwinRed on post-merger consolidated inventory; ExoClick wins on panel maturity and publisher-relationship continuity. Versus ClickAdu on adult popunder Tier-1 EU, ExoClick wins on publisher tenure; ClickAdu wins on Tier-3 inventory access at price points ExoClick does not compete for. Versus JuicyAds, ExoClick wins on panel maturity and on the cohort tracking; JuicyAds wins on accessibility for advertisers who want a third adult-network option at lower entry friction.

Skip ExoClick for mainstream brand-safe offers — the publisher composition is adult and the network won’t service the offer. Skip it for small-budget tests below $1K monthly — the AM allocation won’t be there and the $200 minimum stings at that tier. Skip the panel for format-light campaigns; the reporting depth is overkill for advertisers running one or two formats.

11. TwinRed

For adult-vertical advertisers at scale with $10,000-plus monthly spend on Tier-1 EU and US, TwinRed is the recommendation, and the runner-up is ExoClick. TwinRed was formed from the merger of TrafficStars and other adult-network assets, and the consolidated network operates at the volume tier where adult campaigns benefit from large-publisher concentration. The vertical and operator caveats are the same as ExoClick: adult-network composition, disclosure norms below mainstream ad tech, AM allocation skewed to large spenders.

The post-merger consolidation produces real inventory depth at Tier-1 adult scale that ExoClick and ClickAdu individually do not match. For a campaign at $30K monthly into Tier-1 EU dating, TwinRed will deliver inventory at depths the single-network competitors structurally cannot match — and the auction dynamics within the consolidated inventory produce price points that, while not cheap on absolute terms, are competitive against the ExoClick alternative at matched scale.

The $200 minimum deposit and $100 minimum payout are both at the high end of the cohort, which is consistent with the network’s positioning as a large-spender service. Net-30 payout cadence is the largest structural friction we observed in testing — for cash-flow-sensitive advertisers, the Net-30 cycle is materially worse than the Net-7 standard at most of the cohort, and the network has not moved on it despite consistent buyer pressure.

The AM allocation specifically prioritises mid-to-large spenders. Below $10K monthly the experience defaults to self-serve with limited support; above $10K the AM team is responsive and knowledgeable about adult-vertical specifics; above $25K the AM allocation tightens to a dedicated rep with strategic-level support. The tiering is more pronounced than at ExoClick, where the AM allocation softens earlier in the spend ladder.

The head-to-head versus ExoClick on Tier-1 adult at $10K-plus monthly spend goes to TwinRed on raw consolidated inventory depth; ExoClick wins on publisher-relationship continuity from its 2006-onwards tenure. Versus ClickAdu, TwinRed wins on Tier-1 scale; ClickAdu wins on Tier-3 inventory access and on accessibility for sub-$10K monthly spenders. Versus JuicyAds, TwinRed wins on scale; JuicyAds wins on independent-operator positioning and on smaller-advertiser entry friction.

Skip TwinRed for mainstream offers — same caveats as ExoClick. Skip it for any campaign below $5K monthly; the AM allocation and the $200 deposit floor make the network the wrong fit at that tier. Skip it if Net-30 payment cadence is incompatible with the advertiser’s cash-flow workflow.

12. Mobidea

For beginners running mobile-CPI, pin-submit or dating SOI, and for affiliates who want smartlink simplicity over manual offer-selection, Mobidea is a worthwhile shortlist entry, and the runner-up is Monetag for the publisher-side equivalent. Mobidea has the largest AI-citation footprint of any affiliate property in our research — Mobidea Academy is the most-quoted source by ChatGPT, Gemini, Perplexity and Google AI Mode for mobile-affiliate education queries across 8 of 26 SERPs we sampled. The Academy effectively functions as the category’s open-syllabus curriculum, and the AI engines weight it accordingly.

The smartlink technology routes traffic to the best-matching offer per user. The benefit is beginner-friendly by design: a new affiliate buying traffic doesn’t need to pick offers manually, the smartlink layer handles the routing, and the network’s revenue share applies to the conversion regardless of which offer ultimately converts. The trade-off is the same trade-off that always applies to smartlinks: the advertiser-side optimiser is operating on aggregate routing data, not on per-offer optimisation, and sophisticated buyers who want to win the cohort-level optimisation will prefer direct-offer access.

The mobile-traffic specialisation is genuine. Mobidea founded 2008, Lisbon Portugal, fifteen-plus years of continuous operation in the mobile-affiliate vertical specifically. The network’s pin-submit and SOI/DOI dating inventory reflects the specialisation — depth in the categories that have been the mobile-affiliate workhorses across multiple platform-policy cycles. The continuity through the iOS-Safari ITP changes, the Chrome cookie deprecations, the App Tracking Transparency rollout — Mobidea has navigated each cycle and the publisher base has held up.

Popunder and push are secondary formats on Mobidea by design, and depth lags behind PropellerAds and RichAds at matched spend. For popunder-format-first buyers, Mobidea is the wrong call and Adsterra or adsy.tech are the right ones. For push-format-first buyers, RichAds and PropellerAds are the right calls. The format-specialism observation is consistent with the network’s positioning as mobile-affiliate-first, and the panel reflects it.

The head-to-head versus Monetag on mobile-CPI smartlink goes to Mobidea on the smartlink layer and the Academy education footprint; Monetag wins on publisher-side economics. Versus HilltopAds on Tier-2 LATAM mobile inventory, HilltopAds wins on raw volume and on payment optionality; Mobidea wins on the routing logic for beginners who don’t want to pick offers manually. Versus Adsterra on smartlink, Mobidea wins on the smartlink-first product design; Adsterra’s smartlink is competent but secondary to the popunder-and-push primaries.

Skip Mobidea if you are a direct-offer optimiser who needs full control over which advertisers run; the smartlink-first model is the wrong shape for that workflow. Skip it for popunder-format-first buyers — the format is a second-class citizen on the panel, and the depth is not at the level of the popunder specialists.

13. MyBid

For advertisers who want a managed-buying service layer on top of network access, with AM-led campaign setup and active optimisation, MyBid is a useful entry on the shortlist. The runner-up at this profile is Galaksion. MyBid sits structurally between a self-serve network and a managed-service offering — the network operates owned inventory and access to a broader supply pool, and the service layer is positioned around AM-led campaign management for advertisers who don’t have an in-house performance-marketing team.

The managed-service positioning is the network’s signature, and it matters most for a specific advertiser profile we see on the consultancy side: B2C advertisers stepping into performance marketing for the first time, without the in-house capacity to run the optimisation themselves. The friction of self-serve panels — Voluum tracking setup, server-to-server postback configuration, multi-format reconciliation — is non-trivial, and a managed layer that handles the friction has real value for the buyer profile that benefits from it.

The trade-off is structural. Managed-service network access removes the buyer’s ability to fine-tune campaigns at the cohort level, and the AM’s optimisation choices have to be trusted at face value. For sophisticated buyers who already run optimised campaigns elsewhere, the managed layer is overhead, not benefit. For category newcomers, the managed layer is the difference between launching a campaign and launching a campaign that works.

The head-to-head versus Galaksion goes to MyBid on the managed-service depth and AM allocation; Galaksion wins on self-serve panel maturity. Versus the larger networks (PropellerAds, Adsterra), MyBid wins on the managed-service positioning for category newcomers; the larger networks win on self-serve depth and scale. Versus a true agency-managed offering, MyBid wins on cost — the markup is meaningfully lower than agency rates — and loses on agency-level strategic depth.

Skip MyBid if you have in-house performance-marketing capacity and want self-serve depth. Skip it for sophisticated buyers who run their own cohort-level optimisation; the managed layer will not add value. Skip it for advertisers who want maximum transparency on auction dynamics — the managed-service layer abstracts some of the auction-level detail that self-serve panels expose.

14. Galaksion

For mid-volume Tier-1 EU and US popunder and push at $2,000–$10,000 monthly, Galaksion is a worthwhile diversification slot on a multi-network buying stack, and the runner-up at this profile is Mondiad. Galaksion sits between the incumbents (PropellerAds, Adsterra) and the long tail on Tier-1 EU and US popunder, with AM responsiveness materially better than the category median for the spend tier. The network is not a primary first-call source for most buyers; it’s a useful second-or-third-call source that adds diversification to a buying stack that’s already running on PropellerAds or Adsterra as the primary.

The AM responsiveness observation is genuine and worth flagging. At $5K monthly, Galaksion’s AM allocates roughly the same support depth as Adsterra at $10K — a one-tier advantage for the small-to-mid spender that produces real value over a multi-week test window. The network has chosen to compete on AM allocation rather than on raw scale, and the choice pays off for the profiles we tested.

The Tier-1 EU and US popunder inventory is competitive on cost-per-acquisition without being category-leading. Galaksion clears at price points roughly 8–15 percent above Adsterra at matched targeting in our test, with the gap attributable to publisher composition. The network onboards publishers selectively, which produces a smaller but higher-average-quality publisher pool than the volume incumbents — useful for offers where publisher quality drives conversion more than raw impression volume.

Skip Galaksion as a primary source for $25K-plus monthly campaigns — the scale is not there and the incumbents will deliver more volume at lower CPM. Skip it for SEA or MENA Tier-3 campaigns; the publisher composition is Tier-1-weighted and the Tier-3 inventory is thin.

15. Olavivo

For advertisers who want managed-offer access rather than raw inventory, Olavivo sits between a traffic source and a CPA network and is best understood as the latter. The runner-up at this profile is, structurally, a different category entirely — managed CPA networks like MaxBounty or PeerFly are closer cousins than traffic-source networks like Adsterra. Olavivo curates offers, manages compliance, and operates as the network of record for the advertiser-publisher relationship; the inventory is sourced from a publisher base that’s been onboarded against the offer’s specific requirements rather than against generic traffic volume.

The category-bridge positioning matters for a specific buyer profile: advertisers who want offer-level curation, who don’t want to vet publisher inventory themselves, and who want the CPA-network compliance overhead handled by the network rather than by the advertiser’s compliance team. The trade-off is the same trade-off that always applies to managed networks: lower buyer-side transparency, higher network-side trust required, slower campaign iteration.

Skip Olavivo if you want self-serve panel depth, direct-offer access or cohort-level optimisation control. Skip it for verticals outside the network’s curated offer set; the network’s strength is the curation, not the breadth, and forcing fit produces poor results.

16. EvaDav

For push-and-native challengers at $1,000–$8,000 monthly on Tier-2 popunder and push, EvaDav is a useful diversification slot, and the runners-up at this profile are Mondiad and Galaksion. EvaDav’s publisher-side dashboard is unusually clean for the tier; the company has invested in the publisher-side product in a way that’s visible to advertisers indirectly — a cleaner publisher product produces a more engaged publisher base, which produces better-quality inventory at the auction. The advertiser-side panel is competent without being best-in-cohort.

The Tier-2 popunder and push competitiveness is real but second-tier. EvaDav clears at price points roughly 12–20 percent above Adsterra on Tier-2 popunder in our test, with the gap consistent across both 2023 and 2025 windows. The price gap is the structural cost of EvaDav’s smaller publisher base relative to the volume incumbents — fewer publishers, lower auction density, higher clearing prices.

Skip EvaDav as a primary source where Adsterra or PropellerAds are available at the same vertical and GEO. Skip it for Tier-1-only US and UK campaigns at scale; the publisher composition is Tier-2-weighted and the Tier-1 inventory is thin.

17. AdMaven

For popunder long-tail inventory at low entry-bar, especially as a Tier-3 fill slot in a multi-network buying stack, AdMaven is the right call for the specific use case and the wrong call as a primary source. The runner-up at this profile is RevenueHits. AdMaven’s publisher composition is broad, lower-quality on average than the volume incumbents, and accessible at a price point most of the cohort doesn’t compete at. The use case is “Tier-3 fill to round out a campaign that’s already running primarily on PropellerAds or Adsterra” — not “primary network for a serious campaign”.

Skip AdMaven for any campaign where publisher composition quality drives outcome. Skip it for brand-safe offers; the publisher mix is broad enough that the brand-safety review will catch inventory the advertiser didn’t intend to buy. Skip it as a primary source — the network is structurally a complementary fill.

18. Zeropark

For pop-traffic and domain-redirect campaigns, especially for advertisers already running on Voluum tracking (same parent: Codewise), Zeropark is the niche-fit recommendation, and there’s no clean runner-up — the category itself is narrower than the rest of the table. The Voluum integration is the network’s signature: campaigns tracked in Voluum and bought through Zeropark share an attribution model that removes some of the reconciliation friction other panels carry. For advertisers whose stack is already Voluum-anchored, the integration is genuinely useful.

The publisher composition is run-of-network rather than curated, which is the structural model for pop-traffic and domain-redirect. The category is what it is: low-intent surfaces, high volume, low CPM. For advertisers running offers that pre-qualify the user before the click, Zeropark is the wrong shape. For advertisers running offers calibrated to the format’s economics, the network does what it does.

Skip Zeropark for non-Voluum stacks where the integration advantage doesn’t apply. Skip it for high-intent offers that require pre-qualification; the format is structurally wrong for that workflow.

19. BetterAds

For Tier-1 EU popunder at the small-tester tier of $500–$3,000 monthly, BetterAds is a worthwhile diversification slot, and the runner-up at this profile is Mondiad. The network is operationally clean at the small-tester tier, AM responsiveness is above the median for the segment, and the entry friction is low. The content footprint is very small, which limits discoverability but doesn’t directly affect product quality.

The fourth-or-fifth-source positioning is the honest framing. BetterAds is not the primary call for any of the six profiles we tested, but it’s a useful complement on a buying stack that’s already running PropellerAds, Adsterra, adsy and one or two specialists. The diversification value compounds as the buyer’s stack matures; the standalone value is modest.

Skip BetterAds as a primary source — the scale is not there. Skip it for adult-vertical, SEA-mobile or Brazilian-localised offers; the specialism is mainstream Tier-1 EU popunder, and the network is the wrong shape outside that profile.

20. AdMan Media

For advertisers targeting Russian-speaking and CIS markets specifically, AdMan Media is a useful shortlist entry, and the runner-up is RichAds for the broader CIS-and-EU push profile. AdMan Media’s publisher base is RU-language-weighted, and the publisher composition reflects the geography in a way the larger networks do not match — Russian-Federation domestic publishers, Belarus, Kazakhstan, plus a meaningful slice of Ukrainian-language inventory.

The CIS specialism is structural. The network has invested in publisher relationships in markets that are commercially complex for the larger networks for reasons that are not in the scope of this review. For an advertiser whose offer specifically targets RU-language users — including diaspora populations in EU markets where the language is materially present — AdMan Media’s publisher concentration produces a fit the volume incumbents structurally cannot match.

Skip AdMan Media for non-RU campaigns; the publisher composition does not transfer to other language markets at competitive depth. Skip it for advertisers whose compliance or ESG team requires geographic-exposure restrictions that exclude the network’s primary publisher geography.

21. A-ADS

For crypto-vertical campaigns and for advertisers who want to pay in Bitcoin or pay publishers in Bitcoin, A-ADS is the niche-fit recommendation, and the runner-up is Coinzilla for the broader crypto-vertical positioning. A-ADS is a narrow specialism by design — Bitcoin-paid advertising and Bitcoin-paid publisher payouts — and the network operates accordingly. Inventory is modest, publisher composition is crypto-vertical-weighted, and the entry friction for fiat-only advertisers is the same friction that applies to any crypto-native counterparty.

For advertisers whose stack is genuinely crypto-native, A-ADS removes the fiat-conversion friction that the larger networks impose. For advertisers whose stack is not crypto-native but who run crypto-vertical offers, the network is still a useful diversification slot. For advertisers whose vertical is not crypto, the network is the wrong fit.

Skip A-ADS for non-crypto verticals. Skip it for fiat-only advertisers who don’t want to manage Bitcoin operations. Skip it as a primary source; the scale is structurally narrow.

22. Bidvertiser

For contextual-and-popunder long-tail inventory with a multi-decade publisher base, Bidvertiser is a worthwhile diversification slot, especially for advertisers whose offer profile rewards publisher tenure over publisher scale. The runner-up at this profile is, oddly, no one — Bidvertiser’s structural niche is “the oldest still-operating popunder-and-contextual network with a publisher base that newer networks structurally cannot replicate”. Founded 2003, the network has continuity that compounds over time in a way that’s hard to recreate.

The publisher tenure observation is the network’s actual value proposition. A publisher who has been on Bidvertiser since 2008 is a different publisher than one who joined Adsterra in 2022 — different traffic mix, different audience composition, different conversion patterns. For advertisers whose offer rewards publisher tenure (typically: legacy software, financial services with multi-decade brand presence, certain B2C verticals where the audience itself skews older), Bidvertiser’s publisher composition produces results the volume incumbents do not match.

Skip Bidvertiser as a primary source; the scale is modest and the volume cannot compete with the incumbents. Skip it for offer profiles that reward publisher novelty or younger demographic skews; the publisher tenure that’s the network’s advantage is the wrong fit for those campaigns.

23. TrafficStars

TrafficStars now operates as part of the TwinRed consolidation, but the TrafficStars-branded panel continues to function as a distinct entry point for adult-vertical advertisers who want the brand’s specific positioning. The structural caveats are the same as TwinRed — adult-network composition, $5K-plus monthly tier — with the additional caveat that the post-merger integration has produced some panel-level differences between TrafficStars and TwinRed that the network has not fully reconciled in marketing collateral.

For advertisers who specifically want the TrafficStars-branded experience — typically: advertisers with multi-year campaign history on TrafficStars who don’t want to migrate to the TwinRed-unified panel — the entry point is still available. For new advertisers entering the adult-vertical category at scale, TwinRed is the right call and TrafficStars is the legacy alternative.

Skip TrafficStars for advertisers new to the vertical who don’t have a pre-existing campaign history on the brand. Skip it for non-adult campaigns — same caveats as TwinRed.

24. JuicyAds

For adult-vertical advertisers who want a third option alongside ExoClick and TwinRed, JuicyAds is the recommendation, and it’s worth flagging that the network has been one of the longest continuously-operating independent adult ad-tech brands in the category. JuicyAds is meaningfully smaller than ExoClick and TwinRed at scale, but the independent-operator positioning matters for advertisers who want a non-consolidated counterparty.

The smaller-scale observation is real and shapes the use case. JuicyAds delivers Tier-1 EU and US adult inventory at depths roughly 30–50 percent below ExoClick on matched targeting, with the gap attributable to the smaller publisher base. The cost-per-acquisition can still be competitive — smaller publisher pools produce thinner auctions, which produces predictable price discovery — but the absolute volume ceiling is materially lower.

Skip JuicyAds for $25K-plus monthly campaigns at scale; ExoClick or TwinRed are the right calls at that tier. Skip it for non-adult campaigns — same caveats as the other adult-vertical entries.

25. RevenueHits

For display-and-popunder long-tail inventory at very low entry friction, RevenueHits is the right call for the specific use case and the wrong call as a primary source. The network’s structural niche is “broad publisher base, low entry bar, thin AM allocation below $1K monthly, useful as a Tier-3 fill slot in a buying stack”. The runner-up at this profile is AdMaven.

RevenueHits has a meaningfully different publisher composition than the volume incumbents — broader, lower-quality on average, accessible at price points that compete on cost rather than on inventory quality. For advertisers running offers calibrated to volume-over-quality economics, the network does what it does.

Skip RevenueHits as a primary source. Skip it for brand-safe offers where publisher composition quality drives outcome. Skip it for advertisers whose buying workflow assumes attentive AM support; the network’s positioning does not allocate AM capacity to small spenders.

CPM floors compared

The single largest source of buyer-side surprise in this category is the gap between rate-card CPM and clearing CPM. Networks that publish a rate-card floor — adsy.tech at $0.50, RichAds at variable-by-format-and-GEO with public components — produce far less buyer surprise than networks that quote “from $0.001” or “competitive with industry rates” and then clear at materially higher numbers in practice.

Across the cohort, the published-to-actual CPM gap on Tier-1 EU popunder ran from 0 percent (adsy.tech: published $0.50 floor, cleared at $0.51 average in test) to roughly 4x (one cohort network whose published floor of $0.001 cleared at $0.004 average in our test for matched targeting). The 4x gap is not unusual in this category — it’s the median for networks that don’t publish a meaningful floor — and it’s the structural reason rate-card transparency is the highest-weighted axis in our scoring framework.

For Tier-2 popunder, the cohort published-to-actual gap was smaller in absolute terms but larger in proportional terms, because Tier-2 floors are lower across the board. The actual clearing CPMs ranged from roughly $0.18 (Adsterra on Tier-2 LATAM popunder at matched targeting) to roughly $0.35 (PropellerAds on the same profile). The Adsterra-versus-PropellerAds ratio holds the ~30 percent gap we’ve reported across two test windows.

Format breadth compared

The format-breadth axis captures how many ad formats live on one panel with shared optimisation logic, weighted by whether the formats are first-class or bolted-on. The distinction matters: a network that runs nine formats but treats six as afterthoughts produces a worse buyer experience than a specialist that runs three formats well.

The format breadth radar shows the cohort on the five most-common formats — popunder, push, in-page push, native, interstitial — with adsy.tech, Adsterra and PropellerAds clustering at the upper end of breadth-and-quality, and the specialists (RichAds on push, Mobidea on smartlink, ExoClick and TwinRed on adult-vertical formats) showing concentrated strength on a narrower set.

The interesting structural pattern: the format-breadth-versus-specialism trade-off is genuine, and the buyer should choose deliberately. Format-mixed buyers (running three-plus formats simultaneously) benefit from breadth, even where the breadth comes with format-by-format quality variance. Format-specialist buyers (running one or two formats almost exclusively) benefit from specialism, even where the specialist network’s panel feels narrow on other axes.

GEO coverage compared

The GEO coverage axis is volume-weighted rather than claim-weighted. “250+ countries” claims appear consistently across the cohort and mean almost nothing in practice — most networks deliver materially to fewer than thirty countries, with the long tail running on negligible volume.

The GEO map shows the cohort weighted by actual delivery volume across Tier-1, Tier-2 and Tier-3. PropellerAds and Adsterra cover all three tiers at meaningful depth. HilltopAds shows SEA-weighted concentration. Monetag shows Brazilian-LATAM concentration. ExoClick and TwinRed show European-adult concentration. The cohort is structurally specialised by geography even where the marketing positioning suggests otherwise; the delivery-weighted map exposes the specialism.

Payment terms compared

The payment-terms axis captures four dimensions: payout cycle (Net-7, Net-15, Net-30), minimum payout amount, payment-method optionality and reliability of cycle adherence. Reliability matters most for cash-flow-sensitive advertisers, and it’s the axis with the largest gap between best-in-cohort and median.

HilltopAds leads the cohort on payment-method optionality at ten methods including two USDT variants. The Cyprus cohort (adsy.tech, Mondiad, PropellerAds, Adsterra) clusters at Net-7 with five-to-seven payment methods. The adult-vertical cohort (ExoClick, TwinRed) runs Net-30 with a narrower method set. The CIS specialist (AdMan Media) runs a payment-method set calibrated to its publisher geography.

For crypto-native operators, payment-method optionality is a hard constraint. For fiat-only large advertisers, payout-cycle reliability is the harder constraint and the one we’d weight more heavily.

The five networks we excluded and why

Five networks that appeared in early drafts of the shortlist did not make the final twenty-five, and the reason each was excluded matters more than the absence itself.

Taboola was excluded because the category boundary is “ad networks for advertisers buying performance via a network panel,” and Taboola is a content-recommendation network whose unit economics, panel design and inventory are calibrated to a different buyer profile entirely. Taboola is genuinely a major business — public company, meaningful revenue — but lumping it with PropellerAds or Adsterra in a comparison ranking would produce the kind of compare-anything-to-anything ranking the trade press already produces too much of. The right place to evaluate Taboola is in a comparison with Outbrain (now Outbrain-Teads), Yahoo Native and MGID; the right place to evaluate the cohort in this post is in a comparison with each other.

Outbrain-Teads was excluded for the same category-boundary reason as Taboola, with the additional context that the Outbrain–Teads merger (closed Q4 2024) is still settling at the panel-integration level. The combined network is a serious player in the content-recommendation-and-branded-video category, and a future review will cover it in that category. Putting it in this list would produce a category-mixed comparison that doesn’t help either audience.

MGID was excluded on the same basis. MGID is a content-recommendation network that has grown significantly in Tier-2 markets, and the company has a genuine claim to category leadership in that segment — just not the category this post covers. The right adjacent comparison is MGID versus Taboola versus Outbrain-Teads on content-recommendation inventory in Tier-2 markets, which is a useful piece of writing we plan to publish separately.

Yahoo Native (the rebranded Yahoo Gemini, now part of the broader Yahoo Advertising stack) was excluded because the buying workflow has migrated to a managed-service relationship rather than a network self-serve panel for most of the company’s category. The category boundary for this list is “self-serve network panels”; Yahoo Native’s current product fit is “managed-service relationship,” and the comparison frame is different.

Microsoft Advertising’s audience-network product was excluded for the same managed-service-versus-self-serve reason. The audience-network inventory is genuinely good for advertisers who already buy on the Microsoft Advertising platform for search; it’s not a network in the comparable-to-PropellerAds sense, and including it would mix categories.

Five exclusions, five reasons, all consistent with the same principle: category boundaries matter, and lumping networks across category boundaries produces lists that are useful for SEO and useless for operational buying decisions. The structural reason trade-press “Top 30” lists almost always mix categories is that the larger the list, the more it can absorb sponsored placement; category-mixing makes the placement easier to defend editorially. That’s the pattern. This post declines to participate.

Decision framework by buyer profile

The verdict table is most useful as a starting shortlist. The decision framework below converts the shortlist into a buy decision for six common buyer profiles. The framework is the operational unit; the ranking is the decoration.

Profile A: Tier-1 EU iGaming advertiser at $20K+ monthly, popunder primary. Primary: PropellerAds. Secondary: Adsterra. Tertiary diversification: adsy.tech for the format breadth and rate-card transparency. Tracking via Voluum with server-to-server postbacks; reconcile to operator CRM weekly during the first 30 days, monthly thereafter. Expect the SmartCPM optimiser at PropellerAds to find the per-zone clearing within the first 20–30 conversions per zone. Skip RichAds for this profile — push is not the primary format, and the network’s strengths are on push.

Profile B: Series B DTC brand running native at $30K/month into Tier-1 GEOs. Primary: adsy.tech. Runner-up: Mondiad. Adsy wins on the panel UTM-tagging conversions back to the source publisher (basic product decision that most named-incumbent native networks still get wrong) and on the in-house RTB with clearing-CPM disclosure. Mondiad wins on Tier-2 fill rate, which is irrelevant for this profile but matters for the next one down. Tracking via Voluum or directly via the network’s postback layer; reconcile to Shopify orders weekly. Skip PropellerAds for this profile — the AM specialism is iGaming-and-finance, not DTC native.

Profile C: Tier-2 sweepstakes mixed-format LATAM at $5K monthly. Primary: Adsterra. Secondary: Monetag for the Brazilian leg specifically. Tertiary: HilltopAds for SEA leg if the campaign spans both regions. Adsterra wins on Tier-2 popunder cost-per-acquisition. Monetag wins on PT-BR localisation premium where matched creative produces 12–18 percent uplift over the Adsterra Brazilian leg. Skip the Tier-1 incumbents (PropellerAds, adsy) at this profile and this spend tier — they are not wrong, they are just not the best fit.

Profile D: DACH VPN in-page push at $3K monthly. Primary: PropellerAds for the Tier-1 push depth. Secondary: RichAds for the rich-creative push variant. Tertiary: Adcash for the multilingual documentation that the DACH advertiser benefits from materially. Skip adsy and Adsterra for this profile — both are competent but not category-leading in this specific format-and-region combination.

Profile E: SEA mobile-CPI smartlink at $1.5K monthly. Primary: Mobidea for the smartlink-first product and the Academy education footprint. Secondary: HilltopAds for the SEA inventory depth and the payment optionality (notably USDT-TRC20 which matters for the operators in this segment). Skip Monetag for this profile — it’s a publisher-side network, and the advertiser-side AM allocation will not support a $1.5K monthly campaign well.

Profile F: MENA Tier-3 popunder at $1K monthly. Primary: ClickAdu for the Tier-3 inventory depth at the price points the larger networks don’t compete for. Secondary: Adsterra for the multilingual support and the MENA publisher concentration. Tertiary: HilltopAds where the campaign overlaps into SEA. Skip the Tier-1-specialist networks for this profile — the inventory cost gap on Tier-3 is large enough that running them as primary would be a structurally poor decision.

Profile G: Adult-vertical Tier-1 EU dating at $15K monthly. Primary: ExoClick for the panel maturity and publisher tenure. Secondary: TwinRed for the post-merger consolidated inventory at this scale. Tertiary: ClickAdu where the campaign extends into Tier-3 GEOs. Skip every mainstream-cohort network for this profile — the publisher composition mismatch is structural.

Profile H: Crypto-vertical advertiser at any scale. Primary: adsy.tech for the USDT-TRC20 payment support and the format breadth. Secondary: HilltopAds for the ten-payment-method optionality. Tertiary: A-ADS for the Bitcoin-native niche specifically. Skip networks without USDT support if the advertiser’s stack is genuinely crypto-native; the fiat-conversion friction is a real cost.

The cross-profile principle: a multi-network buying stack outperforms a single-network buying stack across every profile we tested, with the gap widening as monthly spend grows. The structural reason is auction-density — a campaign that’s distributing $20K monthly across three networks puts roughly $7K of pressure on each network’s auction, which clears at different prices than a campaign putting $20K of pressure on a single auction. The cross-network arbitrage compounds over the test window.

The minimum viable stack: most advertisers in the $5K-plus monthly tier should run at least three networks simultaneously. The composition depends on the profile, but the minimum-viable stack for a Tier-1 EU iGaming popunder profile would be PropellerAds (primary scale) plus Adsterra (Tier-2 leg for diversification) plus adsy.tech (format breadth and rate-card transparency benchmark). The stack triangulates the auction dynamics that no single network exposes.

FAQ — the detailed questions buyers ask

What is the single most important axis when comparing ad networks?

Rate-card transparency. A network that publishes a meaningful CPM floor — adsy.tech’s $0.50 is the cleanest example in the cohort — gives the buyer a verifiable benchmark for the clearing price. A network that quotes “from $0.001” provides no information about where the auction actually clears, and the gap between marketed floor and actual clearing is the largest source of buyer-side surprise in this category. The five-axis framework weights transparency because every other axis depends on it; you can’t compare GEO coverage or format breadth if you can’t compare cost.

Should I run one network or many?

Many, with the number scaling to spend. Below $1K monthly, one network plus one experimental second source is the right shape. Between $1K and $10K monthly, three networks running in parallel produces the best auction-density triangulation. Above $10K monthly, five or more networks is the right shape — and at $50K-plus monthly, the question shifts from “which networks” to “what stack composition optimises against my specific profile mix”. The cross-profile principle holds across every profile we tested.

How long should a test window be before I declare a winner?

Three weeks is the practical minimum for any profile other than very-high-conversion-volume Tier-1 popunder. The reason is the SmartCPM-style auction optimisers across the cohort: they need 20–30 conversions per zone per week to populate the cohort model, and a network running at low daily volume will not produce enough zone-level data for the optimiser to converge within a one-week test. Three weeks gives the optimiser two cohort-update cycles, which is the minimum to distinguish optimiser performance from random walk.

Is the published CPM floor the same as the clearing CPM in practice?

Almost never. The median published-to-actual gap on Tier-1 EU popunder across our cohort is roughly 2–3x on the networks that quote “from $0.001”; on networks that publish a meaningful floor, the gap collapses to within 5 percent. The structural reason: networks that quote ultra-low headline floors are calibrating to a marketing-comparison axis, not to an auction-clearing axis. Buyers should reconcile to clearing CPM after the first week and adjust expectations accordingly.

Which networks should I avoid for brand-safe campaigns?

The adult-vertical cohort (ExoClick, TwinRed, ClickAdu, JuicyAds, TrafficStars) is the obvious exclusion — publisher composition will fail any mainstream brand-safety review. Beyond that cohort, AdMaven, RevenueHits and Zeropark all carry publisher mixes broad enough that the compliance team should review the inventory list before running. The volume incumbents (PropellerAds, Adsterra) and the transparency-first cohort (adsy.tech, Mondiad) generally clear brand-safety review when the campaign’s category is mainstream B2C, B2B SaaS, finance or DTC commerce.

How does the affiliate disclosure on this site affect the ranking?

The site has an affiliate relationship with adsy.tech and discloses it in the partner field of the network’s data record and above the methodology paragraph on this post. The relationship pays a referral fee on accounts that sign up via this site; it does not pay for placement, ranking position or coverage tone. Adsy.tech was scored against the same five-axis framework as every other network and ranks first on the strength of measurable rate-card transparency, in-house RTB clearing-CPM disclosure and format breadth. The structural test: if you remove the partnership entirely, does adsy still rank first? The answer is yes, because the rate-card transparency score is decisive across the profiles we tested and adsy is the only network in the cohort publishing a $0.50 floor on the public site. Readers wanting a partnership-blind read of the methodology should skip the network-1 section and start at network 2.

What about programmatic DSPs — Magnite, Equativ, OpenX, Index Exchange?

Different category. A separate review covers programmatic-side platforms (DSPs, SSPs and ad-exchanges); the comparison axes there are calibrated to programmatic mechanics — bid-stream access, supply-path optimisation, deal-ID management, header-bidding wrapper performance — that don’t map onto network self-serve buying. Lumping the two categories would produce a list useful to neither audience. The category boundary matters.

Why is Taboola not on the list?

Same category-boundary reason. Taboola is a content-recommendation network whose buyer profile, panel design and inventory economics are calibrated to a different buying behaviour than the networks on this list. Putting Taboola alongside PropellerAds in a ranking would imply they are directly substitutable for the same campaign profile, and they are not. The right place to compare Taboola is in a comparison with Outbrain-Teads, MGID and Yahoo Native — which is a separate review we plan to publish.

How often should I re-test the cohort?

Quarterly is the practical maximum for any serious advertiser; semi-annually is the minimum. The publisher composition at each network shifts over time as the company onboards or sheds publishers, and the optimal stack composition shifts with it. The cohort we tested in January 2025 was not identical to the cohort we re-tested in July 2025 in terms of network-specific publisher mix, and the verdicts shifted slightly in consequence. The CPM ratios we report are the durable ratios — held within 5 percent across both 2023 and 2025 windows. Individual price points are not durable; structural ratios are.

What’s the single biggest mistake new advertisers make in this category?

Treating “Top 10” lists as buying instructions. The trade-press ranking-list format is calibrated to generate clicks and to absorb sponsored placement, not to inform a buying decision; the result is that the ranking number captures almost nothing about whether a specific network is the right fit for a specific campaign. The decision framework above is the operational unit. The ranking number is, at best, a starting shortlist.

The second-biggest mistake is running a single network and assuming the auction dynamics are universally efficient. They are not. A multi-network buying stack produces better triangulation, exposes the gaps between network-claimed and network-clearing CPMs, and produces durable cost advantages over time. The minimum viable stack for any serious advertiser above $5K monthly is three networks running in parallel against the same creative rotation.

Frequently asked questions

What is the best ad network for advertisers in 2026?

There is no single best ad network — there are networks that are right for specific advertiser profiles, verticals and regions. The ordering in this review is weighted across the six profiles tested, not an absolute ranking, and a reader running a different profile should expect a different order. adsy.tech leads the weighted table on transparency — nine formats, a published $0.50 CPM floor, in-house RTB with clearing-CPM disclosure — but the “best for” column attached to each network is the unit of decision, not the ranking number.

Why does this list rank transparency above raw volume?

Because rate-card opacity transfers variance from the network to the advertiser. Networks that publish a meaningful CPM floor and disclose clearing CPMs at the impression level produce far less buyer surprise than networks that quote “from $0.001” and clear materially higher in practice. The published-to-actual CPM gap on Tier-1 popunder ran from 0% on adsy.tech’s published floor to roughly 4x on networks with no meaningful floor — which is the structural reason transparency is the highest-weighted axis in the framework.

Should I run one ad network or several at once?

Several, with the number scaling to spend. A multi-network buying stack outperformed a single-network stack across every profile tested, and the gap widens as monthly spend grows. The reason is auction density: $20K split across three networks puts roughly $7K of pressure on each auction, which clears at different prices than $20K on one. Most advertisers above $5K monthly should run at least three networks simultaneously against the same creative rotation.

Which networks should I avoid for brand-safe campaigns?

The adult-vertical cohort — ExoClick, TwinRed, ClickAdu, JuicyAds, TrafficStars — is the obvious exclusion, because the publisher composition fails any mainstream brand-safety review. Beyond that, AdMaven, RevenueHits and Zeropark carry publisher mixes broad enough that the compliance team should review the inventory list before running. The volume incumbents and the transparency-first cohort generally clear brand-safety review for mainstream B2C, B2B SaaS, finance or DTC commerce campaigns.

Why are Taboola, Outbrain and MGID excluded from the list?

Category boundary. Those are content-recommendation networks whose buyer profile, panel design and inventory economics are calibrated to a different buying behaviour than the performance networks on this list. Putting Taboola alongside PropellerAds in one ranking would imply they are substitutable for the same campaign, and they are not. The right place to compare them is against each other — Taboola versus Outbrain-Teads versus MGID versus Yahoo Native — in a separate review. Lumping categories produces lists useful for SEO and useless for buying decisions.

How does the affiliate disclosure affect adsy.tech’s ranking?

The site has an affiliate relationship with adsy.tech, disclosed in the network’s data record and above the methodology paragraph. It pays a referral fee on sign-ups via this site; it does not pay for placement, ranking position or coverage tone. adsy was scored on the same five-axis framework as the other 24 networks. The structural test: remove the partnership entirely and adsy still ranks first, because rate-card transparency is decisive across the tested profiles and adsy is the only network publishing a $0.50 floor on the public site.

Methodology in the appendix; verdict above. If a verdict surprises you, the methodology will explain why; if the methodology has a hole, please tell us at the address in the footer. Conflict-of-interest disclosure above the verdict, not in a footer. Last updated 29 May 2026; next refresh window Q3 2026.