The Platform Shift: Android Crosses the Paid Majority
Android paid installs in subscription apps grew 57% year-over-year from October 2024 through February 2026, while iOS managed only 9% growth. More significantly, iOS organic installs fell 8% over the same period, signaling that paid acquisition is no longer optional on either platform — it is now the primary growth lever.
Android's paid share of total installs crossed 51% for the first time, up from 43% the prior year. iOS moved from 30% to 34% paid, but the directional contrast is clear: Android is where volume is scaling, and marketers are adjusting budgets accordingly.
This is not a temporary fluctuation. Lower CPIs, broader addressable reach, and improving monetization infrastructure on Android have made it the growth engine for subscription apps at scale. iOS remains relevant where conversion quality justifies the higher cost per install, but single-digit growth suggests the platform is maturing in core Western markets.
Geography Rewrites the Growth Map
North America remained essentially flat in paid install growth. The Indian Subcontinent, meanwhile, accounted for 49% of Android's net paid install gain, growing 95% year-over-year. LATAM added 52% growth, Southeast Asia 36%, and the Middle East surged 197%.
This is a structural reorientation, not a temporary arbitrage opportunity. The next million subscribers are more likely to come from emerging markets than from saturating Western iOS cohorts. That shift carries implications for creative strategy, pricing models, localization depth, and monetization expectations.
Short Drama alone drove 60% of Android's total paid install delta, growing 155% year-over-year. OTT and Live Streaming contributed another 13% at 170% growth. Education added 22% of the delta at 66% growth, concentrated almost entirely in the Indian Subcontinent.
UA Spend Grows 24%, But the Category Picture Fragments
Total user acquisition spend among subscription apps rose 24% year-over-year, with Android climbing 42% and iOS 10%. OTT and Live Streaming is the standout: Android spend jumped 240%, iOS 120%, with North America Android surging 157%.
Short Drama's spend trajectory reveals the geographic pivot in action. Overall Android spend grew 42%, but North America fell 40% and Southeast Asia dropped 39% while the Indian Subcontinent surged 423% and LATAM grew 77%. Marketers are rotating budget toward markets where install efficiency remains high and competition has not yet compressed margins.
Gaming is cutting everywhere: Android down 14%, iOS down 32%. North America Android saw a 21% drop. Eastern Europe was the lone exception at 20% growth. The category is being defunded on both platforms as install-to-paid conversion weakens and UA ROI thresholds tighten.
Health and Fitness shows the sharpest platform divergence: iOS spend up 87%, Android down 41%. The Android decline is broad-based across every geography, while iOS spend is concentrating where subscription LTV justifies the higher CPI. This is a clear signal that marketers are treating the platforms as fundamentally different acquisition channels with distinct economic profiles.
Market Concentration: Winners Keep Winning in Fast-Growth Categories
Short Drama and OTT and Live Streaming maintain 90%+ market concentration among the top 5 apps in each category, and that concentration is holding steady across measurement periods. Both categories are content-driven, where catalog depth and brand recognition create compounding advantages. New entrants can acquire users but cannot easily displace the content libraries and retention mechanics of incumbents.
Health and Fitness is consolidating further. The top 5 share jumped from 54% to 73%, the largest shift in the dataset. Spend grew 87% on iOS but flowed to a small group of well-capitalized apps. Smaller players are being priced out of the auction as competition intensifies and only apps with proven LTV can afford the rising CPIs.
Photo and Video moved in the opposite direction. Its top 5 share fell from 64% to 45% as AI-powered photo and video tools entered the market with enough differentiation to attract UA budgets and disrupt incumbents. This is the exception to the consolidation trend, and it points to a narrow window where genuine product innovation can still break concentration.
Monetization Models Diverge by Category
OTT and Live Streaming is doubling down on pure subscription. In-app subscription (IAS) only share rose from 53% to 62%, a 17% increase, while IAS combined with in-app purchases fell from 47% to 38%. The direction is consistent month over month. When the monetization model is clean and predictable, marketers are more willing to spend heavily on acquisition. This category's aggressive UA investment aligns with its consolidation around subscription-only revenue.
Short Drama is moving the opposite way. IAS combined with in-app advertising went from near zero (0.9%) to 7.4%, while IAS only fell from 46% to 42%. Apps are layering in ad-supported models, likely a response to the economics of emerging markets where subscription conversion rates are low relative to install volume. The category is scaling fast on installs but testing whether subscriptions alone can convert that volume into revenue.
Gaming shows the most complex model evolution. IAS only rose modestly from 45% to 49%, but IAS combined with in-app purchases grew from 29.5% to 37%, a 25% increase, while IAS combined with in-app advertising dropped sharply from 12.8% to 7.1%, down 44%. Gaming is actively trading ad revenue for in-app purchases, a deliberate shift away from ad-dependent models toward higher-value transactions, even as overall UA spend declines.
Generative AI continues adding in-app purchases. IAS only fell from 65% to 60% while IAS combined with in-app purchases grew 20%. Apps that launched as pure subscription are hedging with purchases to capture users unwilling to commit to recurring billing.
The Subscription Funnel: Not All Trials Are Created Equal
Gaming has the highest free trial adoption but the worst conversion. At 12.2% install-to-trial, Gaming pulls more users into trials than any other category, but only 19% of those convert to paid — the lowest conversion rate in the dataset by far. Every other category converts at 32% or higher. Gaming's trial model appears to be a discovery mechanism rather than a purchase intent signal. High trial volume is masking a monetization problem, not solving it.
Education and Lifestyle convert at the top of the funnel. Education converts 42% of trialists to paid, the highest in the dataset, suggesting users who start a trial are highly motivated and the product delivers enough value to justify the subscription. Lifestyle also converts 41% despite the lowest install-to-trial rate at 3.9%, meaning it attracts fewer trialists but keeps nearly half of them. Both categories are the opposite of Gaming: lower funnel volume, higher funnel quality.
Without a free trial, Health and Fitness leads at 7.1% paid subscription conversion, and Dating follows at 6.5%. These are categories where users arrive with high purchase intent and do not need a trial to decide. Short Drama and Utility and Productivity sit at the bottom of the no-trial funnel at 1.8% and 1.7% respectively, well below the 3.5% overall average.
The data also reveals a growing trend of trials shortening to three days, despite evidence that trials of 17 days or longer convert 70% better: 42.5% paid conversion rate versus 25.5%. Nearly half of all apps now use trials of four days or less, seeking immediate revenue and shorter payback periods that make margins more affordable from the UA perspective. AI-driven rising costs are forcing publishers to prioritize faster monetization and higher ARPU over traditional trial-based wiki:user-acquisition-ua strategies.
AI Moves from Feature to Infrastructure
AI has shifted from a product differentiator to core infrastructure. Bidding algorithms now optimize across thousands of variables in real time. Creative generation is compressing campaign cycles from weeks to hours. Predictive models are changing which users get targeted and at what price. The competitive advantage is shifting from budget size to data quality and the speed to act on it.
An analysis of over 2,500 queries to AI chat tools used by subscription marketers reveals a 10:1 ratio of retrieval to diagnostic questions. Nearly half of all queries cover channel performance and cost — the easiest questions to ask, not necessarily the most strategically important. For every marketer asking why ROAS dropped, ten ask which campaign performed best.
The Business category is the exception, with 18% of queries focused on retention and cohort analysis, roughly 4x the overall average. When the business model demands lifecycle thinking, it surfaces in how marketers prompt. Dating leads on install and attribution queries at 19%, nearly 2.5x the overall rate, consistent with a high-CPI vertical where every install is scrutinized and attribution accuracy has direct budget implications.
The diagnostic capability gap is wide. Marketers are using AI assistants almost entirely for retrieval — rankings, lookups, top-line performance. The harder questions that drive strategic decisions are largely going unasked, even though the tools can answer them.
What This Means for Subscription Marketers
The playbooks built for iOS-first, North America-first acquisition no longer transfer directly. Build Android-first strategies for emerging markets with different creatives, different price points, and different monetization expectations. Audit your trial funnel before scaling spend: establish whether your trial is generating purchase intent or just free usage. Education and Lifestyle show that lower trial volume with higher wiki:conversion-rate is a more efficient path than Gaming's high-volume, low-conversion model.
Do not assume pure subscription is enough. OTT and Live Streaming is gaining ground with subscription-only models, but Short Drama is layering in ads and Gaming is trading ad revenue for in-app purchases. Generative AI is adding in-app purchases as a fallback for users unwilling to commit to recurring billing. No single model is winning across the board.
In concentrated markets like Short Drama and OTT and Live Streaming, where the top 5 apps control 90%+ of spend, incremental UA budget without genuine product or content advantage will not move the needle. Photo and Video shows that AI-powered differentiation can break concentration, but it requires a distinct angle. Finally, ask your AI tools harder questions. The data shows the capability is there; the usage is not.