Mobile gaming's growth story has always been told in downloads. More installs meant more revenue, more engagement, more everything, and for most of the industry's first decade, that logic held. But not anymore. Global app downloads grew just 0.8% in 2025. The era of volume-led growth is not slowing down; it is structurally over. What has replaced it is a market where user acquisition has become simultaneously more expensive, more concentrated, and more consequential, because in a world where every install needs to work harder, the cost of a bad acquisition decision compounds faster than it ever did when downloads were plentiful and cheap.
The State of Mobile 2026 report from Sensor Tower offers some of the clearest data yet on where UA teams are winning, where they are losing money they do not realize they are losing, and what the structural shifts in platform share, creative format, and retention benchmarks mean for how campaigns should be built in the year ahead. None of it points toward doing more of what worked in 2022. Most of them point toward doing something meaningfully different.
For UA managers who built their social channel strategy over the last two to three years, the platform share data in this report warrants a serious audit of current budget allocation. The social landscape shifted substantially in 2025, and the direction of that shift has direct implications for where your cost per acquisition is heading.
Instagram grew from 28.9% to 35.6% of global social impression share. Facebook climbed from 25.1% to 33.6%. Together, Meta platforms now account for more than 69% of social gaming impression share, up from roughly 54% the year before. That is not incremental consolidation. That is a decisive rebalancing of where mobile gaming ad volume lives.
The sources losing share are equally significant. TikTok fell from 21.0% to 12.7%, nearly halving its position in a single year. YouTube dropped from 20.0% to 12.0%. For teams that leaned heavily into TikTok as a primary UA channel during its growth period, this is not just a signal about platform trends. It is a direct question about where your audience reach and your creative investment are currently pointing, and whether the infrastructure you built around a channel that commanded 21% of impression share still makes sense when that channel now sits at 12.7% and is declining.
The practical implication is not that TikTok or YouTube should be abandoned; both still represent meaningful inventory. But the weighting logic that governed budget allocation two years ago needs to be revisited. UA teams that have not rebalanced toward Meta since this shift began are likely paying more per thousand impressions on shrinking channels while underinvesting in the platforms where auction depth and audience targeting have strengthened.
One of the most actionable data points in the report concerns the relationship between where ad spend is concentrated and where revenue is actually generated, and the mismatch in the US market is stark enough to reframe how category selection should factor into UA planning.
In the US in 2025, Lifestyle & Puzzle attracted 56.2% of total gaming ad spend. Its share of IAP revenue was 41.3%. That gap, more than 14 percentage points of spend above its revenue weight, reflects a category where UA teams are collectively paying a premium to compete in an overcrowded auction. CPMs in these environments are elevated not because the audience is uniquely valuable, but because the sheer volume of advertisers chasing the same users has driven prices above what the revenue pool justifies.
Casino shows the precise inverse: 10.4% of ad spend capturing 21.6% of IAP revenue share. Action & Strategy sits close to balanced at 30.7% spend versus 34.8% revenue. The pattern is consistent: categories where spend share significantly exceeds revenue share are markets where UA economics are structurally worse, not because the product model is inferior, but because advertiser competition has priced efficiency out of the equation.
Japan presents the same dynamic with the categories flipped. There, Action & Strategy generates the majority of IAP revenue while taking a disproportionately small share of ad spend relative to its output, meaning the same overcrowding problem exists in different sub-genres depending on the market.
The spend-to-revenue gap is one of the most underused signals in UA planning. It tells you something that cost-per-install data alone cannot: whether the category you are operating in is structurally expensive relative to the revenue it generates, or whether there is room to acquire users efficiently because the auction has not yet caught up to the opportunity. UA managers who evaluate category entry decisions partly on this basis are setting themselves up to find efficiency that their competitors, still chasing the same crowded categories, are leaving on the table.
Creative strategy in mobile UA has always mattered. What has changed is that format selection, the choice between video, playable, and static, now functions as a signal to both the algorithm and the user before the creative concept itself has a chance to register. And the data on where impression share is moving makes the direction of that signal clear.
Video's share of global gaming impressions rose from 44.9% to 53.7% in 2025. Playable ads nearly doubled, rising from 6.3% to 13.3%. Static image ads fell from 48.9% to 33.0%. The shift from image to video and playable is not a gradual drift; it is the market repricing engagement formats upward and passive formats downward.
Playables deserve particular attention. The near-doubling of their impression share in a single year reflects something more than a creative trend; it reflects a change in what the highest-performing UA teams are using to filter for user intent. A player who completes a playable interaction has demonstrated a direct behavioral signal: they engaged, they understood the mechanic, and they opted in. The users who install from playable ads arrive with a meaningfully different expectation alignment than users who install from a video that promised one experience and delivered another. That alignment shows up in early retention, which shows up in LTV, which determines how high you can bid on the next install.
The creative format implications for UA planning are practical. Gameplay-slice video concepts and mechanic-first playables are outperforming concept-driven and narrative-first formats in this environment, because they make an accurate promise about the product and attract users who respond to that promise specifically. Teams still allocating the majority of their creative budget to static production are not just underinvesting in winning formats; they are increasingly absent from the impression share where performance is concentrating.
One of the more structurally significant findings in the report is the regional revenue divergence in mobile gaming. Asian publishers grew IAP revenue by $2.58 billion in 2025. North American publishers declined by $1.78 billion. European studios added $0.36 billion. The gap between Eastern and Western publisher performance is not new. Still, the scale of the divergence in 2025 is something UA managers in Western studios need to think through carefully, as it directly affects the auction dynamics they operate in.
The reason Eastern publishers can grow revenue at this scale is the depth of monetization. The titles driving that growth, deeply monetized mid-core games built for global scale, generate significantly higher LTV per user than the casual and hybrid-casual portfolios that still dominate many Western publishers' revenue mix. Higher LTV per user means a higher profitable ceiling on cost per install. And a higher ceiling on cost per install means Eastern UA teams can outbid Western competitors in the same auction for the same users and still be profitable, even as their Western counterparts are not.
This is primarily a monetization architecture problem that manifests as a UA problem. If your product generates $2 of LTV per install and a competitor's product generates $5, they can pay $3.50 per install, win the auction, and profit. You cannot follow them there without losing money. The practical consequence for UA managers at Western studios is that bidding strategy needs to be evaluated in the context of the LTV your product actually generates, not the LTV it was projected to generate, and not the LTV from a cohort that acquired in a different market environment. The teams gaining ground against Eastern publishers are typically those who have both raised their monetization ceiling and disciplined their UA spend to reflect it.
Every UA campaign is ultimately a bet on lifetime value. You set a target CPI, you define a payback window, and you make assumptions about how the cohort you are buying will behave over time. Those assumptions are based on historical retention data. In casual gaming specifically, that data has shifted enough over the last three years to make models built on older benchmarks systematically inaccurate.
The retention trends in the report are worth examining across all three windows where ad revenue and LTV calculations are most sensitive. At D1, casual games among the top 25 by revenue are retaining approximately 30% of players, a figure that has been declining steadily and now sits well below both mid-core, which holds around 44–45%, and hypercasual, which retains approximately 38–40% on Day 1 despite its reputation as a low-engagement format. Casual's D1 number is the outlier in the wrong direction, and the gap has been widening.
Casual D7 retention has declined consistently from early 2022 through late 2025, and hybrid-casual, which historically sat below casual on this metric, has now overtaken it. Casual ends 2025 at roughly 14–15% D7 retention among top titles, while mid-core holds at 20–21%.
D30 follows the same trajectory. Casual titles retain approximately 7–8% of players at 30 days, a figure that has been declining over the same multi-year period. Mid-core holds around 11–12%.
For UA managers, the compounding effect of these three declining windows is the critical issue. Your LTV model is built on assumptions about how many users make it to each retention milestone, because that determines how much ad revenue and IAP each cohort generates over time. If your D1 assumption was built on 2022 or 2023 data, it is likely 4–6 percentage points too high for casual. If your D7 assumption is similarly dated, it is compounding an error that started on Day 1. By the time you are projecting D30 revenue from that cohort, you are working with a user pool that is meaningfully smaller than your model predicts. Your actual cost per retained user is higher than your reported CPI suggests.
The implication is not that casual is a category to exit. Tasty Travels from Century Games reports D7 retention of 22%, which is approaching mid-core territory and indicates that the retention ceiling for casual has not dropped, but rather the average has. The UA teams that have the most accurate view of their actual cohort behavior and set bids accordingly are the ones making profitable acquisition decisions. Those still running on models calibrated to a retention environment that no longer exists are buying users at prices that made sense then and do not make sense now.
It’s more crucial than ever to make sure that every stage of your funnel is working well, from the first time someone sees your ad to the last time they play your game and tell others about it. Competition is tough, and it won’t let you miss any steps in the funnel. When you plan and make your games, think about the individuals who will play them. That’s the most important thing to do to be competitive in this busy UA environment. It’s lot easier to do your job and unlock all the other processes if you carefully plan out all the steps that will make them feel something.
The data across all of these findings points in the same direction: the UA managers who will outperform in 2026 are those operating with precision, while the market is rewarding approximation with losses. Channel allocation, category selection, format mix, bidding ceilings, and LTV modeling have shifted enough in the last twelve to eighteen months that a strategy built on 2023 assumptions is running a deficit it may not yet have identified. The market has not become less opportunity-rich. It has become less forgiving of imprecision. That is a different problem, and it has a different solution.
That gap between what your campaigns assume and what the market currently looks like is exactly where the most recoverable UA spend tends to hide. If any of the trends covered in this article sound familiar: rising CPIs that do not reconcile with your LTV projections, platform allocations that have not been rebalanced since TikTok was climbing, or retention-based bids that predate the casual curve shift, it is worth having a direct conversation about what your data is actually telling you.
At GameBiz Consulting, we work with mobile game studios to build UA strategies that reflect current market conditions, not historical ones. If you want a clear-eyed look at where your acquisition efficiency stands today, get in touch with us here and let's talk through it.
