Apple Ads produces 76 paying subscribers for every $1,000 an advertiser spends in Paraguay, Costa Rica, Guatemala, Indonesia, and Brazil. The same $1,000 buys 15 paying subscribers in the United States and 19 in the United Kingdom. That gap, quantified across 8,000-plus apps and 90 countries over the whole of 2025, sits at the center of a benchmark report that Adapty published on July 7, 2026, and it reframes a question most mobile marketers have been answering with instinct rather than data: which countries actually pay back an Apple Ads budget.

What the report measured and how

Adapty built its Apple Ads for Subscription Apps 2026 report from campaign data spanning January through December 2025, drawing on more than 1 million ad groups running across 59 App Store subcategories and 90 countries. The company anonymized the dataset before aggregation and applied four filters before including any niche: a minimum of two contributing apps to avoid single-app bias, at least 200,000 impressions per niche for reliable rate-based metrics, a minimum of 1,000 downloads so the conversion funnel would carry statistical weight, and at least $10,000 in annual spend per app to exclude test campaigns that might otherwise distort cost figures. Medians and percentiles accompany the averages throughout, because, as the methodology notes, distribution matters more than a single mean when uplift multipliers and cost figures vary this widely across markets.

The core finding, stated plainly by Mykola Martynovets, Apple Ads Manager Lead at Adapty, is that "Apple Ads converts 2x better than other paid channels." Users arriving through Apple Ads start free trials at 3.66 percent, compared with 1.45 percent for users acquired through other paid channels. That gap widens rather than narrows further down the funnel: install-to-paid conversion reaches 1.92 percent for Apple Ads against 0.91 percent for other paid sources, a 2.1 times advantage on the complete path from install to paying customer. Martynovets attributes the difference to user intent at the moment of the tap. Apple Ads users searched for something specific before seeing an ad; users on other paid channels interrupted a scroll. That behavioral distinction, according to the report, shows up clearly at the trial-start stage and compounds through to payment.

The country-level cost gap

Where the report moves from a general platform comparison into something more operationally useful is its country-by-country breakdown of cost per paying subscriber. Twenty-four markets deliver a paying subscriber for under $20 in Apple Ads spend, and three of those, Guatemala at $13.55, Costa Rica at $13.20, and Paraguay at $13.14, sit under $14. Brazil, at $15.36, pays back for any subscription app with a lifetime value above $20. Nepal, at the opposite extreme, costs $362.55 per paying subscriber. China follows at $122.84 and Algeria at $101.74. A subscription app would need an extraordinarily high per-user value to justify sustained Apple Ads spend in those three markets, whereas dozens of other countries clear the bar comfortably.

That 28 times spread between the cheapest and most expensive markets is not simply a function of cost per tap, though tap cost does vary substantially on its own. According to the report, cost per tap ranges 14 times across the 90 countries studied, from $0.109 in Algeria and $0.110 in Nepal up to $1.576 in the United States. The paradox embedded in those two figures, that Algeria and Nepal both offer the cheapest taps yet Nepal produces the report's single most expensive paying subscriber, illustrates why tap cost alone cannot guide budget allocation. A cheap tap that never converts to a paying user is not a bargain; it is wasted spend dressed up as efficiency.

Paying subscribers per $1,000 of spend tell a more complete story. Paraguay and Costa Rica both deliver 76 paying subscribers per $1,000, the joint-highest figures in the dataset, at CPAs of $0.33 and $0.55 respectively. Guatemala follows at 74, Indonesia at 71, and Brazil at 65. The United States produces 15 paying subscribers per $1,000 at a $2.51 CPA, while the United Kingdom produces 19 at $2.02. Both major English-language markets fall well short of what five smaller markets deliver for the same nominal budget.

Lifetime value complicates the picture

A lower cost per subscriber only matters if that subscriber is worth acquiring, and the report's year-one lifetime value figures show that emerging markets are not synonymous with cheap, low-value users. Israel leads the LTV ranking at $62.86 per user, followed by Norway at $59.22 and Qatar at $56.50. Guatemala, despite its rock-bottom acquisition cost, delivers $55.27 in year-one LTV, close enough to the leaders that its combination of a $13.55 CPA and above-median LTV represents one of the report's clearest arbitrage opportunities. Costa Rica's LTV reaches $50.18. The United States, despite commanding the highest acquisition budgets in the dataset, ranks 15th in LTV at $48.25, a mid-pack figure that the report attributes to audience size rather than superior per-user economics. Advertisers are not necessarily choosing the US because its users are worth the most; they are choosing it because the addressable population is large.

The report quantifies this tension directly. CPA varies 14 times across the 90 countries, while LTV varies only 2.7 times over the same set. That asymmetry is the mathematical basis for the entire report's framing. If acquisition cost swings far more widely than the value of the resulting subscriber, then the countries offering the best return on ad spend will frequently be the ones with cheap acquisition and merely adequate, rather than exceptional, LTV. Ivan Sparrow, an app founder and marketer quoted in the report, described his own shift toward this logic directly: "With Apple Ads, I now focus mostly on Tier 2-3 countries, from Eastern Europe to South America. These markets offer high-volume, high-efficiency traffic that most developers overlook." Sparrow added that the perceived risk of lower LTV in non-US markets is consistently offset by lower acquisition costs, concluding that "the only thing you need is ROAS above 100%, and ad campaigns targeting non-US markets are perfectly suited for that." He also recommended running separate campaigns per country rather than a single consolidated campaign, stating that dedicated campaigns for countries with populations under 5 million "perform consistently well" in his experience.

Custom product pages and paywalls compound each other

Beyond country-level cost data, the report isolates two product-level levers that shift conversion independently of geography. Matching a Custom Product Page to a keyword's intent lifts downloads by 23 percent, a figure the report breaks into two components: a 12.1 percent lift in tap-through rate at the search-results stage, where a relevant page wins more taps from the same impressions, and a 9.6 percent lift in conversion rate after the tap, where the matching page converts a higher share of the traffic it already earned. At baseline rates, 100 impressions produce 6.21 downloads without a Custom Product Page and 7.63 with one, a difference of nearly 14 additional downloads per 1,000 impressions purely from matching page content to search intent.

Tailoring the in-app paywall to the traffic source produces a separate, compounding effect. The report measures a 41.5 percent lift in install-to-trial conversion when the paywall a user sees after installing matches the search intent that brought them there, and a further 24.2 percent lift in trial-to-paid conversion when the in-app experience fulfills what the paywall promised. Combined, 100 installs that would produce one paying user under a default paywall produce 1.76 paying users under a tailored one. The compounding does not stop at Day 0. ROAS climbs from a 48.4 percent lift on the day of installation to an 82.5 percent lift by Day 92, a pattern the report attributes to better-matched users retaining at higher rates over time rather than simply converting faster at the outset.

Nicole Weiss, founder of Brass Finch, described in the report a specific failure mode that this data helps explain. Her team ran an early test of Custom Product Pages that appeared to succeed by one measure and fail by another. "Initial tests looked like an absolute home run," Weiss said. "A 20% lift in Conversion Rate, a huge efficiency boost to our spend." The celebration did not survive scrutiny of downstream metrics. "The patting ourselves on the back lasted about a week, until we reviewed the downstream metrics," she said. "The same test was driving a 20% decrease in trials." The team had built intent-matched product pages without correspondingly updating the in-app paywall, so users arriving with a specific expectation encountered a generic experience once inside the app. After aligning the paywall with the pre-install promise, trial starts recovered. Weiss summarized the lesson for other teams running similar tests: "Stop stopping at the install. If you're building CPPs without tailoring the in-app paywall to match, you're burning your ad spend at the door."

Niche-level spread reaches 30 times

The report's category-level data adds a further layer beneath country and product-level findings. Across 59 subcategories, cost per acquisition spans 30 times, from $0.34 for Screen Recorder apps to $10.34 for Exam Preparation apps. Study apps sit close behind at $10.30. PDF Reader apps occupy an unusual position: their $4.31 CPA places them in the expensive cluster, but a 78 percent conversion rate means most taps that reach the product page do convert to a download, unlike Yoga apps, which carry a similar $3.97 CPA but only a 54 percent conversion rate, meaning close to half of every paid tap in that category produces no download at all.

In the United States specifically, Health & Fitness leads all categories in install-to-paid rate at 7.80 percent, followed by Education at 5.87 percent and Graphics & Design at 5.46 percent. The report's explanation for this ordering rests on user intent at the moment of search: people tap Health & Fitness, Education, and Productivity apps with a specific outcome already in mind, while Music and Games attract taps intended to fill idle time rather than solve a defined problem. Utilities apps, meanwhile, dominate the tap-through rate rankings, occupying close to half of the top 20 niches by that metric, with Screen Recorder leading at 27 percent tap-through.

Kevser Imirogullari, Head of Growth at FlipaClip, offered a framework in the report for interpreting why certain niche-level costs run so high. She noted that in niche categories, "the real volume sits on a handful of obvious head terms that name the core function," such as PDF reader or receipt scanner, and that every competitor bids on those same terms regardless of what else sits in their keyword pool. That means, according to Imirogullari, "the cost per tap on them is really a readout of what your competitors' LTV can tolerate." Her recommended diagnostic is temporal rather than instantaneous: a single competitor outbidding a team for a few weeks is not a signal, but several competitors consistently outbidding a team over months indicates that "your monetization is sitting behind theirs," and the fix lies in examining competitor pricing and packaging rather than adjusting bids or keywords in isolation.

How this fits alongside other App Store advertising changes

Adapty's report lands roughly a year after Apple rebranded its advertising business from Apple Search Ads to Apple Ads on April 14, 2025, a change PPC Land covered at the time as a signal of ambitions extending past App Store search placements. Those ambitions have since become concrete. Apple added multiple ad positions inside App Store search results starting March 3, 2026, first in the United Kingdom and Japan before completing the rollout across all Apple Ads markets by the end of that month, and it made its Maximize Conversions bid strategy available to all advertisers on February 26, 2026, replacing the older CPA cap approach with an automated bidder built on Search Match. Custom Product Pages themselves are not new; Apple first integrated them with Apple Search Ads in January 2022, and the feature Adapty's report measures uplift from has had four years to mature into standard practice for sophisticated advertisers.

Independent research published in the weeks before Adapty's report offers a useful counterweight to any assumption that Apple's auction rewards relevance above all else. A dataset-driven analysis covered by PPC Land in March 2026 examined 627 keyword-app auction observations in the UK market and found that the most semantically relevant app took the top auction position in only 43.9 percent of keywords studied. That finding does not contradict Adapty's Custom Product Page data so much as it contextualizes it: a well-matched product page raises conversion once a user has already tapped an ad, but it does not guarantee that ad wins its auction position in the first place. Bid strength continues to do a substantial share of the ordering work even after Apple's relevance threshold is cleared.

The broader subscription app landscape that Adapty's country and category data sits within has also been the subject of separate benchmark research. Adapty's own State of In-App Subscriptions 2026 report, published in March 2026 and covered by PPC Land, found that 95 percent of subscription revenue flows to the top 10 percent of apps, up from 92.7 percent in 2023, a concentration trend that raises the stakes attached to acquisition efficiency for any app trying to break into that top tier.

Google's parallel billing changes for Android developers add relevant context on the platform side, even though Adapty's report covers Apple Ads specifically. Google restructured Play Store service fees effective June 30, 2026, setting standard non-recurring fees at 20 percent for new installs and 25 percent for existing installs in the initial US, UK, and EEA rollout. For any subscription app running acquisition campaigns across both major mobile platforms, that change to the Android revenue equation interacts with the acquisition-cost findings in Adapty's iOS-focused report.

Why the finding matters for marketing teams

The report's most direct implication for performance marketing teams is structural rather than tactical. Advertisers, according to the report, tend to allocate budget toward markets with the largest addressable user base rather than the markets with the most favorable acquisition-to-value ratio. The United States receives substantial Apple Ads investment because its population of iPhone users is large, not because its per-dollar subscriber economics outperform smaller markets. The report's own framing states this explicitly: "Most Apple Ads budgets pour into the markets with the most users, not the markets with the cheapest subscribers. The data points to a different allocation."

That reallocation argument carries different weight depending on an app's stage and category. A team running a Screen Recorder or Remote Control utility, where CPAs sit under $0.60 across dozens of markets, faces a different optimization problem than a team running an Exam Preparation app, where even the cheapest markets carry CPAs several times higher. Similarly, a team already running Custom Product Pages without tailored in-app paywalls, the exact configuration Nicole Weiss described encountering, may be capturing only part of the 23 percent download lift the report documents while missing the larger downstream ROAS gains that come from aligning the post-install experience with the pre-install promise. The report's central methodological point, that CPA variance (14 times) substantially exceeds LTV variance (2.7 times) across the countries studied, gives marketing teams a concrete criterion for prioritizing which markets deserve testing budget first: those where acquisition cost is unusually low relative to a global median LTV that holds reasonably steady.

Timeline

  • January 2022: Apple integrates Custom Product Pages with Apple Search Ads, enabling ad variations tied to specific keyword themes
  • January-December 2025: Adapty collects the underlying campaign data spanning 8,000-plus apps, 1 million-plus ad groups, and 90 countries used in the report
  • February 26, 2026: Apple rolls out Maximize Conversions bid strategy to all App Store advertisers globally
  • March 3, 2026: Apple begins rolling out multiple ad positions in App Store search results, starting in the United Kingdom and Japan
  • June 30, 2026: Google's restructured Play Store fee system, including a new billing choice program, takes effect in the US, UK, and EEA
  • July 7, 2026: Adapty publishes its Apple Ads for Subscription Apps 2026 report via its monthly digest newsletter

Summary

Who: Adapty, a subscription growth platform, alongside contributors Mykola Martynovets (Apple Ads Manager Lead, Adapty), Ivan Sparrow (app founder and marketer), Nicole Weiss (founder, Brass Finch), and Kevser Imirogullari (Head of Growth, FlipaClip).

What: A benchmark report titled Apple Ads for Subscription Apps 2026, analyzing cost per paying subscriber, conversion rates, Custom Product Page uplift, and paywall tailoring across 8,000-plus apps and 90 countries, finding that cost per paying subscriber varies 28 times by country and that Apple Ads converts twice as effectively as other paid channels.

When: The report draws on campaign data from January through December 2025 and was published via Adapty's newsletter on July 7, 2026.

Where: The data spans 90 countries across North America, Europe, Latin America, the Middle East and Africa, and Asia-Pacific, with specific findings highlighted for Brazil, the United States, the United Kingdom, Nepal, Guatemala, Costa Rica, Paraguay, and Indonesia, among others.

Why: The finding matters because Apple Ads budgets, according to the report, concentrate in markets with the largest user populations rather than the markets offering the strongest return per dollar spent, and the 14 times variance in acquisition cost against only a 2.7 times variance in lifetime value gives marketing teams a quantified basis for testing underserved, lower-cost markets before assuming the largest markets are automatically the most efficient.