Every iGaming media buyer eventually runs into the same two workhorse formats: push notifications and popunders. They are cheap to enter, they clear volume fast, and they punish sloppy optimization just as fast. If you buy for casino, sportsbook, or crypto-gaming offers, push and pop traffic is where a lot of first-time deposits are won, and where a lot of test budgets quietly disappear.
This is a practitioner guide, not an introduction. We will work through real cost-per-click (CPC) and cost per mille (CPM, the cost per thousand impressions) benchmarks by tier, when to pick push over pop, how pre-landers lift conversion rate (CR), why cutting weak sources too early destroys otherwise profitable campaigns, and where the actual profit lever sits: source-level bidding. For the wider channel picture beyond these two formats, our breakdown of the best traffic sources for iGaming affiliates sets the context this piece builds on.
Push versus pop: which format reaches volume first in your tier
Push and pop clear volume in opposite ways. Push notifications are opt-in, creative-driven placements: an icon, a headline, and a short body land on the user’s device like a native system alert. Because the user subscribed, engagement runs high. In iGaming, push campaigns commonly deliver click-through rates (CTR) in the 3% to 10% range, clearly above native and banner formats. That CTR is the format’s whole appeal: warm intent at a low entry cost, with a creative you control and can rotate.
Popunders are the opposite trade. There is no creative and no click to earn: a new tab or window loads your landing page underneath the active window. You buy raw impressions, you get instant reach, and you pay for the privilege of interrupting. Pop wins on speed and scale, because you can push tens of thousands of visitors through a funnel in hours. Push wins on qualification, because a subscriber who taps a gambling notification has already shown a flicker of interest before they ever hit your page.
There is a creative dimension to the choice too. Push forces you to earn the click, which means creative testing across angle, icon, and headline is a genuine optimization surface and a genuine workload. Pop skips the creative entirely, so your levers move upstream to the pre-lander and the landing page. Buyers who enjoy creative iteration tend to lean push; buyers who prefer to optimize funnels and bids at scale tend to lean pop. Know which kind of operator you are before you commit a budget, because the format quietly dictates where your daily hours go.
The practical rule follows the cost structure. In Tier 1 markets where clicks are expensive, push usually gives you cleaner traffic per dollar and a creative lever to improve quality. In Tier 2 and Tier 3, where pop impressions are almost free, popunders reach test volume faster and let you gather conversion data quickly and cheaply. Neither format is inherently better. They answer different questions about your funnel, and most serious buyers run both in parallel and let the data assign each its role.
Tier math: what a test budget actually buys
Geographic market (GEO) tier is the single biggest driver of your cost structure, so price your campaigns against it before you write a single creative. Published push-pricing data puts cost-per-click at about USD 0.15 to USD 0.50 in Tier 1, USD 0.03 to USD 0.07 in Tier 2, and USD 0.005 to USD 0.012 in Tier 3, with iGaming and betting adding a 30% to 50% premium for high player lifetime value and heavy competition; the same source shows a USD 500 test buying roughly 1,666 clicks at a USD 0.30 Tier 1 rate versus about 25,000 clicks at a USD 0.02 Tier 2 rate. That gap is the whole reason tier selection comes before creative.
| Tier | Example GEOs | CPC range (USD) |
|---|---|---|
| Tier 1 | US, UK, CA, AU, DE | 0.15 to 0.50 |
| Tier 2 | BR, MX, PL, ES, IT | 0.03 to 0.07 |
| Tier 3 | IN, ID, VN, PH, NG | 0.005 to 0.012 |
Read that gap correctly. A Tier 3 budget buys many times the clicks of Tier 1, but those clicks convert to first-time deposits (FTD) at much lower rates and much lower deposit values, so raw click volume tells you almost nothing on its own. The right tier depends on the offer’s payout and your appetite for variance, which is why we treat GEO selection as its own discipline in our guide to the top GEOs for iGaming affiliates. Cheap clicks are never the same thing as cheap conversions, and pricing your funnel against tier is the difference between a controlled test and a donation to the network.
Cost-per-click or cost-per-mille: which model to start on
Push and most pop networks let you bid on either CPC or CPM, and the choice changes your risk profile more than most buyers expect. For a new campaign the safer starting model is CPC: you pay only for clicks, so an untested creative or a weak GEO caps your downside while you learn what converts. CPC carries lower risk during testing, while CPM scales more efficiently once you have an established CTR. The transition point is simple. Once a creative proves a stable, above-average CTR, switching that placement to CPM usually lowers your effective cost per click, because you stop paying the network’s built-in CTR safety margin. Test on CPC, then scale winners on CPM. Flip that order and you are buying impressions for a creative that has not earned them yet.
One caution before you make the switch: CPM only rewards you when your CTR genuinely beats the network average, so verify that CTR on live, sustained traffic rather than on a single optimistic test cell. A creative that looks strong on a thin sample can regress hard at scale, and a premature CPM switch converts that regression straight into wasted impressions you cannot claw back. When in doubt, hold the placement on CPC for another day of data. The cost of waiting is small; the cost of scaling a false positive is not.
Pre-landers: warming cold pop and push traffic
Cold pop traffic does not want to see a deposit form. It was interrupted, not invited. The job of a pre-lander is to re-engage that attention and pre-qualify the user before the offer page ever loads. Quiz flows, mini-games, and sports-prediction widgets are the proven formats here, because they convert a passive interruption into a small active choice. Done well, pre-landers lift the pre-lander to offer conversion rate by 30% to 50%. That is not a cosmetic gain. On pop traffic bought by the thousand, a swing of that size in CR can be the entire difference between a losing campaign and a winning one.
Match the pre-lander to both the offer and the GEO. A predict-the-score widget suits a sportsbook in Brazil; a spin-to-reveal-your-bonus mechanic suits a casino offer almost anywhere. Keep load times low, because pop users bounce instantly on a slow page, and keep the compliance line clean, because a warm-up flow is still an ad. Our notes on compliant paid ads for iGaming cover the disclosure and age-gating rules that pre-landers have to respect on a per-GEO basis, and getting them wrong is a fast way to lose an offer or an account.
Zone pruning: from 200 sources to 30 winners
Pop and push inventory is sold as thousands of individual zones or source identifiers (subIDs), and their quality varies wildly inside a single network. This is where most of your real optimization work actually happens, not in the creative. A realistic pattern looks like this: a campaign starts across roughly 200 zones, only 20 to 30 survive profitably after two rounds of pruning, and the surviving whitelist should carry 70% to 90% of budget while 10% to 30% stays reserved for discovering new zones. The first pruning pass kills the obvious junk, meaning zero-engagement zones and bot-heavy sources. The second pass removes the marginal zones that spend steadily without ever converting.
The discovery reserve is not optional, and buyers who skip it get burned within weeks. Zones fatigue, publishers churn, and your proven winners will decay, so you need a constant pipeline of replacements feeding the whitelist. Run this at the source level and a noisy, unpredictable buy becomes a stable one you can forecast. If you are formalizing which numbers should trigger a cut, our rundown of core iGaming affiliate KPIs maps the metrics that should drive pruning decisions rather than gut feel, which is what separates a repeatable process from a lucky month.
The delayed FTD trap: why cutting low-CR sources too early burns money
Here is the mistake that quietly kills good campaigns: blacklisting a source the moment it shows a low conversion rate. iGaming deposit funnels do not convert on impact. A user clicks today, browses, compares, and deposits days later, so first-time-deposit funnels need delayed conversion windows, and immediate blacklisting of low-CR sources is premature. Cut a source on day-one data and you may be throwing away traffic that was days from paying you back.
The fix is process, not intuition. Set an attribution window that matches your offer’s real deposit lag, pace spend so no single source can drain the budget before that window closes, and only then judge conversion. This is also why cost-per-acquisition math for these channels has to account for lag rather than snapshot performance, a point we work through in detail in our piece on player acquisition cost in iGaming. Patience here is not softness, it is measurement accuracy, and it is the difference between reading real signal and reacting to noise.
Source-level bidding: the real profitability lever
Whitelisting decides where you buy. Source-level bidding decides how much you pay there, and it is the lever that turns thin campaigns profitable. Modern push and pop networks let you set bid multipliers by device, operating system (OS), browser, and carrier, and this granularity is where the margin lives. Source-level bid optimization across device, OS, browser, and carrier is critical, and Android frequently outperforms iOS in Tier-2 iGaming. If your own data says Android converts and iOS does not, there is no reason to pay the same bid for both, and paying a flat bid across segments is simply leaving money on the table.
Build these multipliers from your own conversion data, not from generic tier assumptions, because the winning device and carrier mix shifts by offer and by GEO. A carrier that prints profit on a casino offer in one market can be dead weight on a sportsbook in the next, and the browser that converts in Poland may underperform in Brazil. Rebuild the segment picture for every campaign rather than porting last month’s winners wholesale, and revisit it as soon as the traffic mix moves.
Fraud control belongs in the same layer, because bots do not convert but they do spend. Low-quality traffic quietly eats pop budgets, so network-side filtering has real money attached to it: Adcash reports that its fraud protection saved advertisers USD 35.88 million in 2024, and it offers SmartCPA bidding to automate Tier-1 buying. Combine clean traffic with granular, segment-level bids and your return on investment (ROI) stops being a coin flip and starts being something you can steer.
Choosing a network and wiring up tracking
The major pop and push networks for iGaming media buyers are well established: PropellerAds, RichAds, Adcash, ROIads, PopAds, Adsterra, EvaDav, Clickadu, and Monetag all carry gambling-friendly inventory at scale. On the low end, popunder networks quote minimum CPMs from USD 0.10 to USD 0.50 with billions of daily impressions, and entry deposits run from USD 100 at PropellerAds to USD 150 at RichAds and USD 250 at ROIads. Pick on inventory quality and GEO coverage for your specific offer, not on whichever network has the lowest deposit, because the cheapest door in usually opens onto the dirtiest traffic.
Treat the network relationship as part of the optimization, not just a checkout. A responsive account manager can hand you fresh whitelists, warn you about GEO-level quality shifts before they show up in your stats, and unlock higher caps once you prove clean spend, all of which compress the time it takes to reach profit. On regulated iGaming traffic that human channel is often worth more than a marginal difference in list price, so factor support quality and gambling-vertical experience into the choice alongside raw CPM.
None of the optimization above works without a tracker. Voluum, Keitaro, RedTrack, and Binom are the standard choices, and they capture the zone, subID, device, OS, and carrier data that source-level bidding and pruning depend on, then let you build real-time rules that pause or rebid sources automatically. Feed conversion postbacks from the offer back into the tracker so your delayed-FTD windows and value calculations sit on real deposit data, an approach we extend in our analysis of player lifetime value in iGaming. Without that plumbing you are optimizing blind, and blind optimization on pop traffic is just fast spending.
Frequently asked questions
Is push or pop traffic better for iGaming offers?
Neither wins outright. Push delivers higher intent and stronger click-through rates than banner or native at a higher entry cost, which suits Tier 1 buying. Pop delivers instant, cheap volume that reaches test data fast, which suits Tier 2 and Tier 3. Most experienced buyers run both formats and let conversion data by GEO decide the split rather than committing to one on principle.
How much budget do I need to test push or pop traffic?
Enough to clear a meaningful number of clicks and to survive the delayed deposit window. Network entry deposits are typically a few hundred dollars, but your real test budget should cover a couple of hundred zones through at least two pruning rounds. In cheap Tier 2 and Tier 3 GEOs a few hundred dollars buys tens of thousands of clicks; in Tier 1 the same money buys far fewer, so size the test to the tier.
Why should I not blacklist a low-converting source immediately?
Because iGaming deposits lag the click. Users often deposit days after first contact, so a source that looks dead on day-one data can be profitable once its delayed first-time deposits land. Set an attribution window that matches your offer’s deposit lag, pace spend so no source drains the budget early, and judge each source only after the window closes.
Do I really need a tracker for push and pop campaigns?
Yes. Zone pruning, whitelists, source-level bidding, and delayed-FTD attribution all depend on granular data that ad networks do not fully expose in their own dashboards. A tracker such as Voluum, Keitaro, RedTrack, or Binom captures zone, subID, device, OS, and carrier performance and lets you automate rebids and cuts. Without one, you cannot run any of the optimization that makes these channels profitable.
