Send us Message
06.03.2026

OEM Inventory Diversification Strategy: How to Balance Budgets Between Xiaomi, vivo, Transsion and Samsung

User acquisition teams that rely on just one source of Android installs are running financial and strategic risks. For mobile app marketers, an effective OEM inventory diversification strategy is one of the strongest ways to spread risk, control costs and improve performance. With multiple OEM partners like Xiaomi Ads, Samsung Ads, vivo inventory and Transsion placements, it has become critical to know when to lean in and when to spread budgets, especially as competition on traditional channels tightens and costs rise globally. Why OEM Inventory Matters for UA Budgets OEM advertising has moved from a niche experiment to a must-have growth engine for Android apps. Device manufacturers give advertisers access to high-intent users directly on phones, via setups, built-in stores, preloads and system recommendations. Because these placements are native to the device, OEM traffic often converts more efficiently than external placements and can deliver lower CPIs, notably in markets where Android dominates. That’s why UA teams are shifting spend from traditional ad networks into on-device ecosystem channels. [turn0search0][turn0search2] Different OEM inventories serve different audiences and regions. Xiaomi’s GetApps inventory reaches hundreds of millions of users globally, Samsung’s Galaxy Store and native placements offer premium reach in Europe and LATAM, vivo’s V-Appstore pulls in engagement in Southeast Asia and India, and Transsion (with its brands TECNO, itel and Infinix) leads in Africa and parts of South Asia.  How to Allocate Budget Between Xiaomi, vivo, Transsion and Samsung A good rule of thumb for OEM budget allocation is to let device market share and regional strength guide your spend. Use data on local vendor share to create a matrix that aligns your guessing with scale. For example: 1. Start with Market Share Mapping Before breaking out budgets, map where each OEM has strength in your priority geographies. In Latin America for example, Samsung and Xiaomi often cover half the shipments, so allocating significant portions of spend to both can cover a large share of users. In Africa, Transsion may control over half of devices, so a Transsion-first strategy makes sense there. In Southeast Asia, a mix of Xiaomi and Transsion inventory can significantly boost reach.  A basic formula is to prioritize 2–3 OEMs that collectively cover at least 60 percent of device shipments in each key market. That way you are targeting the largest possible audience through native placements where users are already active. 2. Understand Cost and Competitive Dynamics Different OEM inventories also come with different cost structures and competitive intensities. For example: Because of these differences, you should evaluate cost per conversion and retention trends by OEM source rather than treating all installs equally. Start with a small test budget on each vendor and scale based on early cost efficiency and post-install value. 3. Sequence Your Spend for Stability It’s also important to sequence how you spend budget. Begin with OEM placements that give you rapid install density and early traction. For example, preloads or recommended slots from a dominant OEM in a given region can deliver quick volume. Once you have sufficient performance data, layer in store featuring and native promotion units for sustained traction. Finally, monitor day 0 to day 7 retention and CAC variation geo by geo and shift spend toward the vendors showing better value. This staged approach helps smooth out cost volatility and gives UA teams real metrics for optimization. When Concentration on One Vendor Becomes a Risk Putting too much budget behind a single OEM partner can create strategic exposure. Here are common risk scenarios: Overdependence on One Channel When a large share of your installs and revenue come from a single OEM source, you become vulnerable to changes in that vendor’s algorithm, inventory rules, pricing, or policy updates. Diversification spreads this operational risk. Regional Supply Constraints In some regions, certain OEMs might have shrinking device shipments or market share due to broader industry trends. For example, global manufacturing and device supply fluctuations can affect inventory availability on certain OEM channels, potentially increasing competition and costs. When that happens, tapping only one source can leave your campaigns short of scale or at higher prices. Cost Escalation and Saturation Some OEM inventories may experience concentration of advertiser demand, driving up cost per install over time. If you’re heavily concentrated on that single source, you may see CPI increases without the efficiency gains you expect. That’s why spreading budget across Samsung, Xiaomi, vivo and Transsion can reduce pressure and help maintain diverse cost profiles. Practical Allocation Guidelines Here is a generalized allocation framework that many UA teams find effective: These allocations should be adjusted over time based on actual performance data. What matters most is that you maintain flexibility and avoid betting everything on one single OEM source. Why OEM Inventory Diversification Works A diversified strategy is not just about volume. It lets you: In short, treating OEM inventory as a strategic complement to traditional UA channels helps brands scale responsibly and sustainably. Conclusion Smart budget allocation across Xiaomi, Samsung, vivo and Transsion begins with mapping market share and understanding where each vendor drives reach and value. As UA teams gain performance data, sequencing spend and continuously reallocating based on observed efficiency and retention will create a resilient and cost-effective OEM strategy. Focusing too heavily on one vendor can be risky, especially in markets where device shipments fluctuate or where competitive pressure changes quickly. A diversified OEM approach gives your mobile UA plans a powerful foundation for sustained growth.

Read More
03.03.2026

OEM Traffic and Android App Monetization: Why Revenue Patterns Differ from Google Play Installs

When mobile user acquisition teams evaluate performance, one common question keeps coming up: why does app revenue often look so different when installs come from OEM traffic compared with installs from Google Play? On the surface, it’s easy to focus strictly on install volume, but when you peel back the layers of Android monetization and user economics, the answer comes down to how users behave, how revenue is generated, and how different channels influence downstream value. From Install Metrics to Monetization Models Most developers and UA managers are familiar with install counts driven by Google Play campaigns or organic store traffic. On Google Play, installs are often closely tied to in-app purchases (IAPs) and subscription conversions, especially in games and premium services. According to industry analysis, in-app purchases make up a large share of Play Store revenue, with IAP alone accounting for a significant percentage of total mobile app income. On Google Play specifically, in-app purchase revenue has historically outpaced many other sources, with install numbers translating more predictably into revenue because of direct spending behavior within the app itself. However, OEM traffic — installs coming from pre-installed recommendation surfaces, device ecosystems, alternative app stores, and system-level placements on Android devices — operate under a different dynamic. OEM sources are natively integrated at the device level and often appear during setup or in system utilities, which gives them huge reach and strong conversion into installs, but this doesn’t always translate into equivalent revenue performance. For UA teams, this can be surprising when a high-volume OEM campaign produces robust install figures yet the monetization metrics lag behind what they see from Google Play installs. Why Revenue Patterns Diverge There are several reasons why monetization trends can diverge when comparing OEM traffic installs and Google Play installs: 1. User Intent and Purchase Behavior Differences Users who install an app through traditional Play Store discovery or search are often already considering the app in a value context — they’ve actively found your app and may be more likely to engage with paid elements like subscriptions or in-app purchases. In contrast, OEM traffic users often encounter the app through recommendations or discovery at system level, which increases install volume but doesn’t always indicate ready-to-pay audiences, especially for monetization models reliant on IAP or subscriptions. This difference in user intent impacts long-term value and revenue per install. 2. Heavy Reliance on Advertising Models in Android Another key factor is that Android monetization patterns favor advertising revenue more than paid app downloads or high-value IAP models, particularly in global markets where Android’s user base is concentrated in emerging regions. Android apps often generate money through banners, interstitials, and rewarded video ads rather than premium spending. Google Play statistics show that ad-based monetization continues to account for a large share of revenue, and hybrid models combining ads and purchases are common. But the effective revenue per ad view (eCPM) still depends heavily on user geography and engagement quality, not just install count. Because OEM traffic can deliver installs at scale that originate from high-volume OEM ecosystems — like preloads on devices or embedded app recommendations — the revenue from ad monetization or IAP doesn’t always scale proportionally with install volume. UA teams might see 10x the installs with only modest increases in revenue, especially if the users are less likely to engage deeply or spend money. Real-world discussions among developers highlight this issue: significant install spikes don’t always produce matching revenue growth unless engagement and monetization strategies are aligned with user behavior. 3. Geographic and Demographic Effects OEM installs often come from diverse regional markets where spending power, ad bid rates, and in-app purchase behavior differ significantly from Tier-1 Play Store traffic. Android’s broad global reach means installs from OEM channels can skew toward regions with lower average revenue per user (ARPU), which in turn depresses overall monetization metrics compared to installs from Google Play in premium markets. This geographic difference is a core part of why revenue per install varies widely across channels. Adapting Monetization Strategy for OEM Traffic For UA teams facing these discrepancies, the important shift is to treat OEM traffic not just as another install source but as a distinct monetization environment. It helps to: When UA teams recalibrate how they interpret revenue patterns across channels, they often find that OEM traffic can provide long-term value and complement Google Play installs, even if the revenue per install looks different at first glance.

Read More
27.02.2026

Android Growth Without Google Play Dominance: A UA Playbook for OEM-First Markets

Most Android growth strategies are built around one silent assumption: Google Play is the main discovery layer. Campaign structures, store optimization, and even attribution logic are often designed with a Play-first mindset. That model works well in many regions, but it breaks in others. In OEM-first markets, Google Play is not the primary place where users discover apps. Sometimes it is not the main store at all. For UA teams operating in these environments, sustainable growth requires a different approach. When Google Play Is No Longer the Center of Gravity In OEM-first markets, user behavior does not follow the classic Android playbook. Discovery happens through: Google Play is still present, but it does not dominate attention. Users may install apps without actively browsing Play or may treat it as a secondary confirmation step rather than a starting point. UA teams that assume Google Play is always the entry point quickly run into friction. Performance looks inconsistent, cohorts behave unexpectedly, and optimization becomes harder to explain. Why Play-First Assumptions Start to Fail Play-first strategies are built on search and comparison. OEM-first ecosystems are built on guidance and context. Users are shown apps before they actively look for them. When UA teams optimize messaging, creatives, and store pages for search-driven behavior, they miss the moment where choice actually happens. This mismatch leads to: The issue is not execution quality. It is a strategy designed for the wrong discovery layer. Alternative Stores Are Not Mirrors One of the most common mistakes in OEM-first markets is treating alternative app stores as copies of Google Play. In reality: When OEM stores are optimized as afterthoughts, organic and system-driven traffic underperforms. When they are treated as primary surfaces, performance stabilizes. Store parity feels efficient. Contextual optimization works better. What Breaks First in Measurement and Budgeting Play-first measurement assumes one dominant endpoint. OEM-first markets fragment that assumption. Installs are distributed across: Without store-level segmentation, performance data becomes noisy. Strong OEM sources look weaker than they are, while familiar channels receive more budget simply because they are easier to interpret. Over time, this leads to distorted budget allocation and missed growth opportunities.  Redefining the Primary Discovery Layer The most important shift for UA teams is conceptual. Instead of asking where installs land, teams need to ask where discovery starts: Once that consideration changes, strategy becomes clearer. Google Play stops being the default anchor and becomes one of several meaningful endpoints. Designing Store Strategy Instead of Store Parity OEM-first growth requires intentional differentiation. That means: This adds operational overhead, but it also unlocks relevance. Apps that feel native to OEM environments convert better and scale more predictably. Where Paid and Organic Growth Start Reinforcing Each Other In OEM-first markets, paid and organic growth are closely connected. Paid OEM traffic helps: Once those signals are established, organic placements often follow. UA teams that separate paid and organic thinking miss this feedback loop. Teams that align them benefit from compounding effects. Budgeting for Ecosystems, Not for Familiarity Effective budget allocation in OEM-first markets requires a mindset shift. Instead of defaulting to global benchmarks, teams need to: This reframes UA planning from channel-centric to ecosystem-centric. Operating Without a Single Control Point OEM-first markets feel fragmented by design. There are fewer universal rules, more operational complexity, and less predictability compared to Play-dominated regions. At the same time, there is less saturation, more distribution leverage, and more room for differentiated growth. UA teams that accept this reality build resilience. Teams that fight it spend resources trying to recreate a Play-first environment that does not exist locally. What OEM-First Markets Teach About Android Growth Android growth is not uniform. In markets where Google Play does not dominate discovery, success depends on understanding device ecosystems rather than forcing global assumptions. UA teams that adapt early stop chasing familiar patterns and start building strategies that reflect how users actually discover apps. In 2026, strong Android growth strategies will not be defined by loyalty to a single store. They will be defined by the ability to grow across ecosystems, even when Google Play is no longer in charge. That is the real advantage of thinking OEM-first.

Read More
24.02.2026

Why OEM Traffic Behaves Like Pre-Search, Not Like Paid Media

Most UA strategies assume one thing: users already know what they want. Search captures that intent, paid media amplifies it. OEM traffic enters the journey much earlier. In OEM environments, users install apps before they search, compare, or explore app stores. They are not actively looking, yet they are already choosing. That makes OEM traffic behave less like paid media and more like a pre-search discovery layer. Understanding this difference changes how messaging, positioning, and performance should be approached. The Stage Everyone Forgets Exists Traditional acquisition models start with intent. A user searches, browses results, compares options, and installs. OEM traffic appears before that moment. System recommendations, setup-time prompts, default app suggestions, and device-level collections introduce apps when the user has not yet formed a question. The device creates awareness before intent exists. At this stage, users are not evaluating. They are noticing. That is why OEM traffic cannot be treated like a standard paid channel. Choosing Without Asking In pre-search environments, users do not express demand.They respond to what is placed in front of them. This leads to a different decision pattern: Choice still happens, but it happens inside a very narrow frame defined by the system. Once that frame is accepted or dismissed, the moment is gone. This explains why OEM installs often come quickly and why post-install behavior depends heavily on first-session clarity. Discovery That Doesn’t Feel Like Discovery Search and store browsing are intentional. OEM discovery is contextual. Apps surface while users: The user is focused on a task, not on finding apps. OEM suggestions feel like part of the flow, not interruptions. In this context, relevance beats persuasion. If the app makes sense right now, it gets chosen. If it doesn’t, it is ignored instantly. Why Paid Media Messaging Misses the Moment Paid media is built for competition. OEM environments are built for alignment. Messaging that relies on emotional storytelling, aggressive value claims, or comparisons assumes an audience that is already engaged and curious. Pre-search users are neither. At this stage, users are not asking “which app is better.” They are asking “what is this and why is it here.” That is why many paid-media-style creatives and messages feel out of place in OEM traffic. Positioning Shifts From Persuasion to Recognition Pre-search positioning works best when it removes ambiguity. Strong OEM messaging: Instead of “the best app for X,” pre-search favors“an app that helps you do X right now.” The goal is not to differentiate. The goal is to be instantly understandable. Messaging That Fits the Context, Not the Channel OEM traffic rewards messaging that matches the user’s moment: Apps that try to introduce new problems struggle. Apps that feel like natural next steps perform better. This is why narrow, concrete positioning often outperforms broad brand narratives in OEM environments. What UA Teams Should Actually Optimize Once OEM is treated as pre-search, optimization priorities change. What starts to matter more: What matters less: OEM traffic exposes weak positioning quickly, but it also rewards clean execution faster than most channels. Why Pre-Search Explains OEM Performance Patterns Many common OEM questions make sense once pre-search logic is accepted: Pre-search installs arrive before intent exists. The app must create intent after install, not before. Teams that design for this reality see more predictable cohorts and cleaner scaling. Designing for the Moment Before Intent Treating OEM traffic as pre-search leads to a different UA mindset: This is not a constraint. It is a strategic advantage when used correctly. Where OEM Traffic Actually Wins OEM traffic is not underperforming paid media. It operates at a different point in the decision journey. When UA teams stop forcing paid-media logic onto pre-search environments, performance becomes easier to explain and easier to scale. Messaging sharpens, positioning simplifies, and cohorts stabilize. In 2026, the strongest Android growth strategies will treat OEM traffic not as another paid channel, but as the place where choices form before users ever start searching. That is where OEM traffic creates its real value.

Read More
20.02.2026

When Android App Stores Replace Ads: Organic Growth Inside OEM Ecosystems

For most UA teams, growth still starts with paid traffic. Budgets go up, installs follow. Organic growth is treated as something that happens later, usually inside Google Play. OEM ecosystems challenge that assumption. Inside OEM app stores, growth can happen without ads at all. Featuring, system recommendations, and curated collections increasingly act as acquisition channels on their own. For UA teams, the question is no longer whether OEM stores can drive organic installs, but whether they know how to influence that process. The Setup: Why Organic Growth Is No Longer Just About Google Play Google Play has trained the market to think of organic growth as a function of ASO. Rankings, reviews, keyword optimization. OEM app stores work differently. In OEM ecosystems, discovery is often guided, not searched. Users do not always look for apps. Apps are shown to them. This shifts organic growth from being keyword-driven to being system-driven. The store becomes an extension of the device, not a neutral marketplace. As a result, organic installs inside OEM stores behave less like classic “organic” and more like earned distribution. UA teams that only optimize for Google Play miss this layer entirely. The Climax: How OEM Stores Generate Installs Without Ads Featuring Is the New Reach OEM stores rely heavily on editorial and algorithmic featuring.Top charts matter less than: When an app appears in these surfaces, it benefits from immediate visibility without competing in an auction. For the user, this does not feel like advertising. It feels like guidance. This is where OEM stores start replacing ads. The distribution happens before any paid impression is needed. Recommendations Are Triggered by Context, Not Keywords Unlike search-based discovery, OEM recommendations often react to context: That makes them powerful and unpredictable at the same time. For UA teams, this means organic growth is no longer passive. It is influenced by how well the app fits into the ecosystem. Apps that clearly communicate their category, use case, and value are easier for the system to place and recommend. Vague positioning makes featuring harder. Clear utility makes it easier. System Collections Shape Demand OEM stores actively shape demand through system collections.“Essential apps,” “Recommended after setup,” “Apps you might need next.” These placements do not respond to bidding or CPI. They respond to relevance. Once an app enters these collections, organic installs often arrive in waves. Growth feels sudden, even though no campaign was launched. From the outside, it looks like luck. In reality, it is alignment. The Resolution: How UA Teams Can Influence Organic OEM Growth Organic growth inside OEM ecosystems is not random. It is influenced by decisions UA teams already make. What actually moves the needle: UA teams often think of OEM stores as something that “just exists.” In practice, they respond to signals, just like any other distribution system. Why Paid OEM Traffic Often Unlocks Organic OEM Growth There is a quiet connection between paid and organic inside OEM ecosystems. Paid OEM traffic can: Once those signals are strong enough, organic placements often follow. In that sense, paid OEM traffic acts less like direct acquisition and more like activation fuel for organic growth. This feedback loop is specific to OEM ecosystems and does not work the same way in Google Play. The New Role of UA in OEM Ecosystems In OEM environments, UA teams are no longer just traffic buyers.They are distribution strategists. Their job expands to: Ignoring this role means leaving growth on the table. When Distribution Becomes the Advantage OEM app stores are not replacing ads everywhere. But in certain moments, they reduce the need for them. When an app earns visibility inside OEM ecosystems, installs arrive without bids, without auctions, and without constant optimization. That is a different kind of growth. It is quieter, but often more sustainable. The Real Opportunity Organic growth inside OEM ecosystems is not about “getting lucky” with featuring. It is about making the app easy for the system to recommend. In 2026, the strongest Android growth strategies will not rely solely on paid traffic or classic ASO. They will treat OEM app stores as active distribution channels where organic growth can be influenced, accelerated, and protected. When that happens, ads stop being the only engine of scale. Sometimes, the store itself does the work.

Read More
17.02.2026

How OEM Traffic Changes Your  Creative Strategy on Android

Most Android creative strategies are built for feeds. Social feeds, in-app feeds, endless scrolling environments where ads fight for attention. OEM traffic lives outside of that world. When ads appear on system-level surfaces, creative rules change completely. Teams that reuse in-app or social creatives for OEM often blame traffic quality when performance drops. In reality, the issue sits one layer higher. OEM traffic requires a different creative mindset. Why Feed-Based Creatives Stop Working In classic UA channels, creatives interrupt content. Users scroll, consume, and get distracted. The creative’s job is to break that flow, grab attention, and earn a click. OEM surfaces do not interrupt anything. They exist as part of the device experience itself. There is no feed, no scroll, no surrounding content. The creative is not competing with entertainment. It is competing with system elements. That alone makes most feed-optimized Android creatives feel out of place. System Surfaces Don’t Wait for Your Story One of the biggest creative mistakes in OEM campaigns is assuming time. High-motion videos, multi-step narratives, emotional hooks. These assets rely on users watching, processing, and staying engaged. OEM surfaces don’t allow that. Users glance, not watch. They scan, not explore. Decisions are made in seconds, often subconsciously. If the value is not obvious immediately, the creative loses its moment. When “Better Production” Becomes a Disadvantage OEM traffic exposes an uncomfortable truth. More production does not always mean better performance. Polished creatives often: On system surfaces, this works against you. OEM environments reward simplicity and clarity, not persuasion. The best-performing creatives often look boring by social standards. They win because they feel appropriate for the device. What OEM Creatives Are Really Competing With In feeds, ads compete with other ads. In OEM environments, creatives compete with trust. System-level placements inherit a certain credibility. Users subconsciously treat them as suggestions, not promotions. Anything that feels too aggressive or sales-driven breaks that trust instantly. This is why native-looking creatives outperform flashy ones. They don’t scream for attention. They quietly make sense. Why Message Density Beats Visual Complexity OEM creatives are judged on one thing: how fast the user understands the value. Strong OEM creatives usually: Icons, titles, and the first screenshot often matter more than the rest of the asset set. If those elements don’t land, nothing else gets a chance. OEM creatives don’t sell dreams. They answer the question “what is this and why should I care” instantly. How OEM Traffic Changes Creative Testing Creative testing in OEM traffic is not about volume. It’s about precision. Instead of cycling dozens of variations, experienced teams: OEM traffic accelerates feedback loops. Weak creatives are exposed quickly. Strong ones scale cleanly. Designing Creatives That Belong on the Device Effective OEM creative strategy starts with context. That means: When creatives feel native to the device, performance stabilizes naturally. Where Creative Strategy Becomes a Growth Lever OEM traffic does not fail because users behave differently. It fails when creatives ignore where they appear. UA teams that adapt their creative logic to system-level environments unlock: This is not about reinventing creativity.  It’s about respecting context. The Creative Reality Check OEM traffic forces honesty. It removes the illusion that louder, brighter, or more emotional creatives always win. On Android system surfaces, relevance beats persuasion, and clarity beats storytelling. In 2026, strong UA teams will not ask whether OEM traffic works. They will ask whether their creatives actually belong on the device. That question is what separates unstable tests from scalable OEM growth.

Read More
13.02.2026

The Hidden Cost of Cheap OEM Installs: Where UA Teams Lose Money Without Noticing

Cheap OEM installs are one of the most attractive things in Android user acquisition. Low CPI, clean traffic, fast scale — everything looks right in the dashboard. That’s exactly why they’re dangerous. Many UA teams scale OEM traffic based on early signals and only realize much later that unit economics no longer add up. The issue is not OEM traffic itself. The issue is how “cheap” installs quietly distort decision-making. Why Cheap OEM Installs Look Like a Clear Win Low CPI is one of the strongest psychological triggers in performance marketing. When OEM installs come in noticeably cheaper than paid social or in-app networks, the instinctive reaction is to scale. OEM traffic reinforces this confidence: At this stage, OEM advertising feels like found money. But CPI alone only tells you how easy the install was — not how valuable it will be. What Actually Makes OEM Installs Cheap OEM installs are often cheap for one simple reason: friction is removed. Users install apps: This shifts the install earlier in the user journey.Earlier does not mean worse — but it does mean less intent at the moment of install. That difference is where the economics begin to change. Where CPI Starts Lying to You The Early Metrics Comfort Zone OEM campaigns often look strong in the first 24 hours: This creates a false sense of stability. Early engagement happens because users are curious and the app is new to them, not because long-term value is guaranteed. CPI and D1 are not wrong metrics. They are just insufficient for OEM traffic. The Silent Drop After the First Session The real signal appears later: Because installs were cheap, these issues are easy to ignore. Budgets continue flowing into cohorts that never stabilize. This is where UA teams start losing money without seeing it directly. How Cheap OEM Installs Break App Economics The damage does not show up as a single red flag.It spreads quietly across the funnel: None of this looks dramatic in isolation. Together, it creates a situation where growth continues, but profitability erodes. Cheap installs don’t destroy performance overnight. They scale inefficiency. Why OEM Traffic Needs Different KPIs OEM traffic enters the funnel earlier than most Android channels. That alone makes CPI-centric evaluation risky. For OEM user acquisition, stronger indicators are: When OEM traffic is evaluated with paid social KPIs, it looks unpredictable. When it’s evaluated with activation-focused metrics, patterns become clear. How Strong UA Teams Reframe OEM Performance Teams that succeed with OEM advertising don’t chase the lowest CPI.They optimize for value confirmation speed. What they do differently: OEM traffic rewards discipline more than aggression. What This Means for Android Growth in 2026 OEM traffic is not a shortcut to cheap growth. It is an early-access channel with different economic rules. UA teams that understand this stop asking why OEM “doesn’t monetize.” They start designing funnels that can handle users arriving before intent is fully formed. The Real Cost Equation Cheap OEM installs are not a problem. Misreading what “cheap” actually means is. When OEM traffic is measured beyond CPI and early metrics, it becomes one of the most controllable and scalable Android acquisition channels. When it isn’t, it quietly drains budget while looking efficient on paper. In 2026, winning OEM strategies won’t be built around the lowest CPI. They will be built around the shortest path from install to real value.

Read More
10.02.2026

Android App Store Diversification: How UA Teams Should Split Traffic Between Google Play and OEM Stores

For years, Android user acquisition followed a simple rule: all roads lead to Google Play. No matter where traffic came from, installs were optimized around one store, one benchmark set, and one mental model. That rule is starting to break. As OEM ecosystems mature, UA teams are facing a new question that didn’t exist before: when does it make sense to deliberately move part of your traffic away from Google Play and into OEM app stores? For many apps, this is no longer a theoretical discussion. It’s a performance decision. How Google Play Became the Default Answer Google Play earned its role as the center of Android growth. It offers scale, predictable attribution, established ASO mechanics, and familiar monetization patterns. For a long time, OEM app stores existed on the periphery. They were treated as technical endpoints or regional requirements, not as places where acquisition strategy was shaped. That led to a привычный подход: This logic worked when discovery happened mostly in one place. It starts to crack when discovery spreads across device-level ecosystems. The Moment Diversification Stops Being Optional Most teams don’t diversify because they want to. They do it because reality pushes them there. Cost pressure is usually the first signal. As competition intensifies, Google Play–centric flows become more expensive, while incremental gains shrink. OEM stores often introduce additional supply where pricing behaves differently. The second signal comes from OEM-native formats. On-device placements naturally lead users into OEM stores. Forcing those users through Google Play can add friction instead of removing it. The third signal is geography. In some regions, OEM ecosystems are not alternatives. They are the default. Ignoring them means ignoring how users actually discover apps. Diversification becomes rational when Google Play stops being the only place where intent is formed. Splitting Budgets Without Turning It Into a Gamble The biggest mistake teams make is framing this as a choice between stores. It’s not. Strong UA teams don’t ask where traffic should go. They ask where it performs better in context. In practice, the split often looks like this: Over time, this creates balance. Google Play provides stability. OEM stores provide incremental reach and pricing flexibility. Where Diversification Usually Breaks App store diversification has real costs, and teams underestimate them at their own risk. Operational overhead is the most obvious one. Separate builds, compliance rules, store updates, and release timing all add friction. Without clear ownership, diversification stalls fast. Another issue is expectations. OEM stores don’t behave like Google Play. Rankings, reviews, and discovery mechanics follow different rules. Judging OEM store performance through Play-centric benchmarks leads to false negatives. Measurement is the quiet failure point. If store-level performance is not segmented properly, diversification gets lost inside “Android totals” and becomes impossible to evaluate honestly. The Benefits Teams Don’t Plan For Once diversification is implemented properly, unexpected advantages tend to surface. One is resilience. When performance on Google Play fluctuates due to competition or algorithm shifts, OEM stores provide an alternative path to volume. Another is better alignment with OEM traffic economics. When discovery and installation happen inside the same ecosystem, conversion rates often improve. There’s also a structural benefit. Diversification forces better discipline. Teams start analyzing performance by store, by entry point, and by user intent. That clarity usually improves decision-making across all Android UA, not just OEM campaigns. What a Mature Diversification Strategy Looks Like By 2026, app store diversification should feel intentional, not experimental. In practice, that means: Teams that work this way don’t move away from Google Play. They simply stop depending on it as a single point of failure. The Real Takeaway Android growth no longer happens in one place. Discovery is spreading across devices, ecosystems, and stores, and UA strategies need to reflect that reality. Google Play remains critical, but it is no longer the only environment shaping user intent. The strongest Android strategies in 2026 won’t choose between Google Play and OEM stores. They will understand exactly when each store works best and design acquisition flows accordingly. That’s what app store diversification actually unlocks: control, not complexity.

Read More
06.02.2026

Why OEM Traffic Scales Differently Than Paid Social and How to Forecast It Correctly

OEM traffic often looks deceptively simple at the start. Costs are attractive, fraud is low, and early results feel promising. Many UA teams approach it with the same expectations they have for paid social or in-app networks. That is where problems usually begin. OEM traffic does scale, but it follows a different logic. Understanding that logic is what allows advertisers to move from testing OEM campaigns to building predictable Android growth through OEM advertising. Why OEM Scale Is Often Misunderstood Most UA managers are trained on demand-driven channels. Paid social and search work in a familiar way: increase budget, reach more users, unlock more volume. Forecasting is largely incremental and linear. OEM traffic does not work like that. OEM user acquisition is tied to real device-level supply. Volume depends on how many devices are activated, how often system surfaces are shown, and how OEM inventory is distributed across regions, formats, and time. You are not bidding inside an endless feed. You are accessing a limited number of discovery moments that exist only when users interact with their devices. When OEM traffic is forecasted using paid social logic, expectations quickly diverge from reality. What looks like a scaling issue is usually a planning issue. What Actually Drives OEM Scaling and Plateaus OEM Plateaus Are Signals, Not Failures One of the most common concerns we hear is that OEM traffic “hits a ceiling.” In practice, this ceiling usually means one of three things. First, the available inventory for a specific format or geo has already been reached. Setup flows, system recommendations, or preloads can only show so often per user. Second, a single surface is being overused. Increasing budget does not unlock new users, it only increases pressure on the same placement. Third, timing plays a role. OEM supply fluctuates with device sales cycles, OS updates, and regional launches. Flat volume does not always mean declining performance. In OEM advertising, plateaus are part of the channel’s structure. They are indicators of saturation, not signs that the channel stopped working. Why OEM Traffic Scales in Steps, Not Lines Paid social usually scales smoothly. OEM traffic scales in steps. A typical pattern looks like this: This step-based behavior often surprises teams that expect continuous curves. In reality, it reflects how OEM inventory is released and consumed. Scale comes from expansion, not from pushing harder on the same surface. For Android OEM advertising, this is normal behavior. Forecasting OEM Traffic Requires a Different Mental Model Successful OEM forecasting does not start with budget. It starts with supply. Instead of asking “how much can we spend,” stronger OEM forecasts answer questions like: This turns OEM user acquisition planning into capacity planning. Forecasts become more conservative, but also far more reliable. Why Paid Social Benchmarks Don’t Translate Another frequent mistake is comparing OEM traffic performance directly to Meta or Google benchmarks. Paid social growth is driven by auction dynamics, audience expansion, and creative iteration. OEM traffic growth is driven by inventory access, device distribution, and ecosystem coverage. Both channels can deliver scale, but they scale for very different reasons. Expecting OEM traffic to behave like a feed-based channel leads to the wrong conclusions and the wrong internal expectations. The Resolution: How UA Teams Should Forecast OEM Traffic in 2026 OEM traffic works best when treated as a supply-based Android acquisition channel. In practice, that means: Teams that adopt this mindset stop chasing short-term volume spikes. They start building sustainable OEM-driven Android app growth. Conclusion OEM traffic does not scale worse than paid social. It scales differently. It is tied to real devices, real user moments, and finite OEM inventory. Once that reality is reflected in forecasting and planning, OEM advertising becomes one of the most predictable and controllable acquisition channels on Android. In 2026, the advantage is not simply accessing OEM traffic. The advantage is understanding how each OEM surface contributes to scale and knowing exactly when to open the next one. For advertisers and UA managers, that is the difference between testing OEM campaigns and relying on OEM traffic as a core growth channel.

Read More
04.02.2026

The New UA Mix: How Brands Combine Social, OEM, and Programmatic Channels for Sustainable Growth

User acquisition is no longer driven by a single dominant channel. According to analyses from Business of Apps, Singular, Zoomd, AppSamurai, and OEM-focused partners such as AVOW, today’s highest-performing UA strategies combine social platforms, OEM advertising channels, and programmatic inventory within a unified growth framework. This diversified mix helps brands counter rising acquisition costs, protect performance against privacy constraints, and reach user segments that traditional networks no longer efficiently deliver. Why the UA Mix Is Changing Industry reports highlight the same set of forces reshaping how marketers acquire users: Across these sources, the conclusion is clear: relying only on social or programmatic channels no longer produces stable, scalable growth. Social Channels: Still the Foundation Meta, TikTok, Snap, and YouTube remain essential UA pillars. Business of Apps identifies social channels as the baseline layer of user acquisition – crucial for: But social platforms alone cannot sustain growth in an environment of rising CPIs and shrinking signal visibility. As AppSamurai notes, advertisers increasingly pair social with complementary channels. OEM Channels: The Underused but Essential Growth Engine OEM advertising: preloads, on-device placements, OEM app stores, system-UI inventory, has moved from niche to mainstream. According to Business of Apps, OEM partners (Huawei, Xiaomi, Samsung, OPPO, vivo, Transsion and others) provide access to more than 1.5 billion monthly active users. AVOW highlights OEM channels as one of the most effective ways to reach users beyond the touchpoints of standard networks. Industry documentation points to several unique advantages of OEM ads: Case studies from AVOW show that OEM campaigns consistently outperform traditional preload channels and complement established UA sources by unlocking cost-efficient installs and new user segments. AppsFlyer also frames OEM preloads as a way to “move beyond programmatic, search, and social,” providing new growth corridors for brands whose traditional channels have plateaued. Programmatic: The Scalable Middle Layer Programmatic channels: DSPs, exchanges, and in-app programmatic inventory, complete the modern UA mix. Zoomd and AppSamurai describe programmatic as the “connective tissue” of a diversified UA strategy, enabling: Digital Turbine explicitly pairs OEM traffic with programmatic campaigns to reach users from first boot (on-device) and then maintain engagement through targeted in-app ads. Programmatic therefore supports long-term UA expansion, adding flexibility across formats, audiences, and placements. The New UA Mix: A Three-Pillar Strategy Synthesizing insights across all referenced sources, the 2025 UA mix looks like this: 1. Social: Creative learning + scale + high-volume intent capture. 2. OEM: Incremental reach + device-native placements + market expansion into regions dominated by OEM ecosystems. 3. Programmatic: Ongoing scale + retargeting + cost balancing across channels. Singular emphasizes that diversified channels are now essential for performance stability; Business of Apps stresses the need for a multi-channel acquisition framework; and Zoomd positions OEM, social, and programmatic as the core combination for post-privacy growth. Conclusion The new UA mix is no longer an optional strategy, it is the industry standard. By combining social platforms, OEM advertising, and programmatic supply, brands can: As acquisition costs rise and global markets evolve, marketers that adopt a balanced, multi-channel UA portfolio are best positioned to compete and scale efficiently. The New UA Mix: How Brands Combine Social, OEM, and Programmatic Channels for Sustainable Growth User acquisition is no longer driven by a single dominant channel. According to analyses from Business of Apps, Singular, Zoomd, AppSamurai, and OEM-focused partners such as AVOW, today’s highest-performing UA strategies combine social platforms, OEM advertising channels, and programmatic inventory within a unified growth framework. This diversified mix helps brands counter rising acquisition costs, protect performance against privacy constraints, and reach user segments that traditional networks no longer efficiently deliver. Why the UA Mix Is Changing Industry reports highlight the same set of forces reshaping how marketers acquire users: Across these sources, the conclusion is clear: relying only on social or programmatic channels no longer produces stable, scalable growth. Social Channels: Still the Foundation Meta, TikTok, Snap, and YouTube remain essential UA pillars. Business of Apps identifies social channels as the baseline layer of user acquisition – crucial for: But social platforms alone cannot sustain growth in an environment of rising CPIs and shrinking signal visibility. As AppSamurai notes, advertisers increasingly pair social with complementary channels. OEM Channels: The Underused but Essential Growth Engine OEM advertising: preloads, on-device placements, OEM app stores, system-UI inventory, has moved from niche to mainstream. According to Business of Apps, OEM partners (Huawei, Xiaomi, Samsung, OPPO, vivo, Transsion and others) provide access to more than 1.5 billion monthly active users. AVOW highlights OEM channels as one of the most effective ways to reach users beyond the touchpoints of standard networks. Industry documentation points to several unique advantages of OEM ads: Case studies from AVOW show that OEM campaigns consistently outperform traditional preload channels and complement established UA sources by unlocking cost-efficient installs and new user segments. AppsFlyer also frames OEM preloads as a way to “move beyond programmatic, search, and social,” providing new growth corridors for brands whose traditional channels have plateaued. Programmatic: The Scalable Middle Layer Programmatic channels: DSPs, exchanges, and in-app programmatic inventory, complete the modern UA mix. Zoomd and AppSamurai describe programmatic as the “connective tissue” of a diversified UA strategy, enabling: Digital Turbine explicitly pairs OEM traffic with programmatic campaigns to reach users from first boot (on-device) and then maintain engagement through targeted in-app ads. Programmatic therefore supports long-term UA expansion, adding flexibility across formats, audiences, and placements. The New UA Mix: A Three-Pillar Strategy Synthesizing insights across all referenced sources, the 2025 UA mix looks like this: 1. Social: Creative learning + scale + high-volume intent capture. 2. OEM: Incremental reach + device-native placements + market expansion into regions dominated by OEM ecosystems. 3. Programmatic: Ongoing scale + retargeting + cost balancing across channels. Singular emphasizes that diversified channels are now essential for performance stability; Business of Apps stresses the need for a multi-channel acquisition framework; and Zoomd positions OEM, social, and programmatic as the core combination for post-privacy growth. Conclusion The new UA mix is no longer an optional strategy, it is

Read More

Contact

hi@oemad.ai

About Us

Blog
Faq

Company

Solutions
Testimonials
Portfolio
Contact

Legal

Privacy Policy
Terms and Conditions

Copyright @ 2025 oemad.ai inc.