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31.03.2026

Programmatic OEM Advertising: How Real-Time Bidding Is Transforming On-Device Inventory

For a long time, buying OEM traffic looked very different from buying media on traditional ad exchanges. If you wanted access to on-device advertising inventory, the process usually involved direct negotiations with OEM partners, manual insertion orders, and campaign management through account managers. However, the landscape is changing quickly. Over the past two years, many Android manufacturers have started opening their ecosystems to programmatic buying and real-time bidding (RTB). This shift is transforming how advertisers access OEM placements and is gradually integrating device-level inventory into the broader programmatic advertising ecosystem. For UA teams, this means OEM traffic is becoming easier to scale, automate, and optimize using the same technology stack already used for other programmatic channels. Why Programmatic Is Entering the OEM Ecosystem The main driver behind programmatic OEM advertising is the need for efficiency and scalability in mobile user acquisition. As advertisers increase spending on Android growth, manual buying models become difficult to scale across multiple device manufacturers. Programmatic technology solves this challenge by allowing advertisers to purchase inventory through automated auctions instead of direct negotiations. In a real-time bidding environment, each ad impression is sold through an automated auction where demand-side platforms (DSPs) evaluate the value of the impression and place bids instantly. Modern OEM advertising platforms are now adopting OpenRTB standards, particularly the OpenRTB 2.5 specification, which is widely used across digital advertising exchanges. This allows OEM inventory to communicate with DSPs and programmatic infrastructure in a standardized format. As a result, advertisers can access on-device placements using the same tools they already use for programmatic media buying. How Real-Time Bidding Works in OEM Advertising In a programmatic OEM environment, the process follows a familiar structure used across digital advertising. When a user interacts with an OEM surface, such as a system recommendation panel or device setup screen, the system generates an ad request. This request contains information about the device, location, placement type, and other targeting signals. That request is then sent to an exchange where multiple advertisers can participate in an auction. Demand-side platforms evaluate the opportunity and submit bids based on targeting criteria and campaign goals. The highest bid wins, and the advertisement is delivered to the user. Because this process happens in milliseconds, advertisers can dynamically adjust their bids depending on user signals and predicted conversion value. Which OEM Ecosystems Support Programmatic Buying Programmatic capabilities are still evolving across the OEM ecosystem, but several major vendors have already started supporting real-time bidding access to on-device inventory. Examples include: Xiaomi (Mi Ads) Xiaomi has introduced RTB support through exchange integrations that allow advertisers to bid programmatically on placements across its ecosystem. OPPO and vivo ecosystems These vendors have opened APIs that allow demand-side platforms to connect directly to their ad inventory through real-time bidding frameworks. Transsion (Eagllwin platform) Transsion’s advertising ecosystem has started experimenting with programmatic access, with beta implementations designed to support formats such as interstitial and rewarded placements. As more OEM partners adopt standardized bidding protocols, the gap between OEM advertising and traditional programmatic media buying is rapidly shrinking. New Advertising Formats Available for Programmatic OEM Buying Programmatic access to OEM ecosystems is unlocking a variety of device-level ad formats that were previously only available through direct deals. Some of the most important formats include: Setup wizard placements Ads that appear during the initial configuration of a smartphone, when users install essential apps. OEM app store promotions Sponsored placements inside manufacturer app stores, such as featured listings or search ads. System recommendation feeds App suggestions displayed in folders like “Hot Apps” or “Recommended Apps.” Lock-screen and push placements Notifications or lock-screen promotions that introduce apps to users directly through the device interface. Native discovery units inside system apps Inventory within built-in applications such as browsers, file managers, or device assistants. Because these formats appear directly within the device interface, they often deliver high engagement and strong install conversion rates compared with traditional display inventory. Why Programmatic OEM Buying Matters for UA Teams The introduction of programmatic buying into OEM ecosystems has several important implications for mobile marketers. First, it dramatically reduces the operational complexity of running OEM campaigns. Instead of negotiating separate deals with each manufacturer, advertisers can access multiple OEM inventories through a single programmatic interface. Second, real-time bidding enables algorithmic optimization. Machine learning models can adjust bids dynamically based on predicted install rates, post-install behavior, or lifetime value signals. Third, programmatic access improves transparency and measurement. Standardized protocols allow advertisers to verify device identifiers, placement types, and supply chains, which helps reduce fraud and improve campaign reporting. Together, these improvements make OEM traffic more compatible with modern performance marketing workflows. The Future of Programmatic OEM Advertising The adoption of programmatic technology is likely to accelerate over the next few years as more OEM vendors integrate their ecosystems with ad exchanges and DSP infrastructure. Several trends are already shaping this evolution: As these systems mature, OEM inventory will increasingly behave like other programmatic supply sources. The difference is that it still retains one key advantage: direct access to users inside the smartphone environment. Conclusion Programmatic technology is gradually transforming how advertisers access OEM traffic. What was once a manually managed channel is evolving into a real-time, automated advertising ecosystem where on-device placements can be bought through the same infrastructure used across digital media. For user acquisition teams, this change opens the door to scalable and data-driven access to OEM advertising inventory across multiple Android ecosystems. As more device manufacturers adopt real-time bidding frameworks, programmatic OEM advertising is likely to become a core component of the mobile growth stack.

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27.03.2026

App Store Search Ads Expansion and Its Impact on OEM UA Strategies

The mobile user acquisition landscape is constantly evolving. One of the most important changes for marketers in 2026 comes from Apple’s expansion of App Store Search Ads, which introduces multiple advertising placements within search results. For UA teams, this shift changes how competition works in app discovery and forces a reassessment of how budgets are distributed between App Store search ads and alternative acquisition channels such as OEM advertising. Understanding this change is important for growth teams who want to maintain efficiency in a market where acquisition costs continue to rise. Apple Is Expanding Search Ads Inside the App Store For many years, App Store search results contained only one sponsored placement at the top of the page. That position was extremely valuable because it captured high-intent users who were actively searching for an app. Starting in March 2026, Apple began rolling out additional advertising placements within search results. Instead of a single slot, ads can now appear both at the top of the results page and further down among organic listings. Apple explained that this change is designed to give advertisers more opportunities to reach users during search queries. Search remains the dominant discovery mechanism in the App Store, with roughly 65 percent of downloads happening after a search. For advertisers, this expansion increases visibility opportunities. However, it also intensifies competition for high-intent traffic. What This Means for App Discovery The introduction of additional ad placements fundamentally changes how visibility works inside the App Store. Previously, ranking in the top organic positions was often enough to capture meaningful traffic. Now, paid placements can appear multiple times on the page, which means organic results compete with more sponsored listings. For growth teams, this creates three major consequences. 1. Competition for high-intent search traffic increases With multiple ad slots available, more advertisers can participate in the same keyword auctions. This usually results in higher bidding pressure and potentially higher cost per tap (CPT) and cost per install (CPI). 2. Organic visibility becomes less predictable Even apps that rank well organically may see reduced click-through rates if paid placements occupy more space within the search results. 3. Search becomes more pay-to-play As advertising inventory expands, developers may need to invest more budget in Apple Ads simply to maintain visibility on competitive keywords. For UA teams managing tight performance targets, these changes can alter the economics of search-based acquisition. Why This Change Pushes Marketers Toward OEM Channels As App Store search becomes more competitive, marketers naturally start looking for alternative sources of scalable installs. That is where OEM ecosystems begin to play a bigger role. OEM advertising operates outside the traditional search auction environment. Instead of targeting users only when they search inside the App Store, OEM placements reach users through device-level discovery surfaces, including: These placements allow advertisers to reach users earlier in the discovery journey, before they even open an app store. Because OEM ecosystems operate in a different inventory environment, competition and pricing dynamics can be very different from search auctions. The Strategic Shift: Balancing Search and OEM Traffic For modern UA teams, the question is no longer whether to use search ads or OEM traffic. Instead, the challenge is finding the right balance between the two. Search ads remain powerful because they capture high-intent demand. Users who search for specific categories or app names are already close to making a decision. OEM traffic, on the other hand, creates new discovery opportunities earlier in the funnel. It introduces apps to users while they are exploring their device or browsing recommendations. A balanced UA strategy often looks like this: Together, these channels form a diversified acquisition mix that reduces reliance on any single platform. Why UA Strategies Are Changing in 2026 The expansion of App Store advertising is part of a broader shift in the mobile ecosystem. App discovery is becoming increasingly fragmented across multiple environments, including: As more advertising inventory appears inside app stores, the competition for search traffic becomes more intense. This naturally pushes growth teams to explore alternative discovery channels that operate outside the main auction environment. OEM ecosystems are one of the most important of those alternatives because they provide access to users directly within the smartphone interface. Conclusion: A New Balance Between Search and OEM Acquisition Apple’s decision to expand advertising placements inside App Store search results signals a new phase in mobile user acquisition. As more ads appear in search results, competition for high-intent traffic will likely increase, and search campaigns may become more expensive over time. For UA teams, this shift reinforces the importance of diversifying acquisition channels. Search ads remain essential for capturing intent, but OEM ecosystems provide additional reach through device-level discovery. In practice, the most successful mobile growth strategies in 2026 will not rely on a single channel. Instead, they will combine search, social, and OEM advertising to create a resilient and scalable user acquisition system.

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24.03.2026

The “Third Pillar” of App Growth: How UA Teams Integrate OEM Channels with Social and Search

For years, the mobile user acquisition playbook was simple. Growth teams relied heavily on two dominant channels: social advertising and search-based discovery. Platforms like Meta, TikTok, and Google Ads formed the foundation of most acquisition strategies. However, as competition increases and auction prices rise, UA teams are looking for more sustainable ways to scale installs. That is where OEM advertising enters the picture. Increasingly, mobile marketers describe OEM traffic as the third pillar of app growth, complementing social and search rather than replacing them. The reason is straightforward. OEM channels allow advertisers to reach users directly within the device ecosystem, through native placements that exist outside the crowded advertising auctions. For UA teams aiming to scale globally, integrating OEM inventory into the media mix has become one of the most effective ways to diversify acquisition and stabilize performance. Why the Traditional UA Model Is Under Pressure Search and social networks still dominate mobile acquisition, but the economics of these channels are changing. As more advertisers compete for the same audiences, cost per install (CPI) and cost per action (CPA) continue to rise. Growth teams frequently face a familiar pattern. Performance improves initially, but once budgets scale, efficiency begins to decline. Another challenge is auction saturation. Social and search platforms operate in highly competitive bidding environments. As more brands target the same users, the cost of winning impressions increases. OEM advertising approaches the problem differently. Instead of competing in the same auctions, OEM ads appear inside the native interface of the smartphone itself. These placements include app store recommendations, device setup prompts, system notifications, and pre-installed application environments. Because these placements exist outside traditional ad networks, they provide UA teams with access to less saturated inventory and new discovery moments. What Makes OEM the Third Pillar Calling OEM the third pillar of mobile growth reflects the unique role it plays in the user journey. Social and search typically operate at different stages of discovery. Search captures users who already have intent. When someone types a query in an app store or search engine, they are actively looking for a solution. Social channels operate earlier in the funnel. They generate interest and awareness through feeds and content discovery. OEM ecosystems introduce a third dynamic. They reach users directly at the device level, often during moments when people explore their phone, install apps, or interact with system recommendations. Because these placements are integrated into the phone’s environment, they feel more like native discovery rather than traditional advertising. In practical terms, OEM traffic sits between awareness and search. It exposes users to apps before they begin actively searching in app stores. How UA Teams Build a Three-Channel Media Mix A modern mobile acquisition strategy typically combines three complementary channels. Search for High-Intent Demand Search campaigns capture users who already know what they want. App store search ads and paid keywords often deliver strong conversion rates because the audience is already evaluating solutions. Social for Scale and Audience Expansion Social platforms generate broad reach. They help introduce apps to new audiences through targeted creative formats, video ads, and algorithmic discovery. OEM for Native Discovery OEM inventory adds a third layer. Ads appear in environments such as: Because these placements are embedded in the device experience, they often deliver high engagement and conversion efficiency. In some campaigns, install rates from OEM placements significantly exceed those of traditional display ads. Why OEM Improves the Overall UA Ecosystem Integrating OEM into the acquisition mix does more than just increase install volume. It also improves the resilience of the growth strategy. First, OEM channels reduce dependence on a single platform. When UA teams rely entirely on social or search, any algorithm change or price fluctuation can disrupt performance. Diversifying into OEM ecosystems helps stabilize acquisition costs. Second, OEM placements reach users at moments when they are naturally exploring apps. That context often produces higher engagement and stronger retention, since users discover apps through system-native recommendations rather than interruptive ads. Third, OEM inventory opens access to regions where Android manufacturers dominate the market. In many emerging markets, users interact heavily with manufacturer app stores and device recommendations, which creates additional acquisition opportunities. How UA Teams Should Structure the “Third Pillar” To integrate OEM successfully, UA teams typically follow a staged approach. First, they treat OEM as a parallel acquisition channel, not just an experimental test. That means allocating a dedicated share of the UA budget to OEM partners. Second, they analyze device market share by region. Different OEM ecosystems dominate different markets. Xiaomi, Samsung, vivo, and Transsion each provide access to distinct user bases. Third, they measure performance beyond installs. OEM campaigns are often evaluated using metrics such as: These metrics help determine how OEM traffic contributes to the broader growth strategy. Why the Third Pillar Strategy Is Becoming Standard Mobile marketing is gradually shifting from a two-channel model to a three-channel model. Social and search still form the foundation of most UA strategies, but OEM ecosystems are increasingly recognized as a strategic complement. As competition continues to intensify across mainstream platforms, UA teams are searching for stable, scalable, and efficient traffic sources. OEM advertising fits that role because it provides direct access to users within the smartphone environment itself. For growth teams planning their acquisition strategies for 2026 and beyond, the question is no longer whether OEM should be included. The real question is how to structure OEM as the third pillar of a balanced mobile user acquisition strategy.

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17.03.2026

OEM Reach by Region: Why Device Ecosystems Are Becoming a Major UA Channel Beyond Google Play

The mobile advertising landscape is gradually shifting from store-centric discovery to device-level ecosystems. For years, most user acquisition strategies revolved around Google Play and a small number of large ad networks. However, the rapid growth of OEM ecosystems across emerging markets is changing this model. In many regions, the majority of Android users interact with manufacturer-controlled surfaces such as device app stores, system recommendations and native discovery placements. Recent industry research shows just how significant this shift has become. OEM ecosystems already reach over 1.8 billion daily active Android users globally, giving advertisers access to a large share of the Android device base through manufacturer partnerships. For UA teams that want to scale efficiently, this expanding reach means one thing: OEM traffic is no longer a niche channel but a major growth lever outside of Google Play. Why OEM Ecosystems Dominate in Emerging Markets Device manufacturers have become powerful distribution platforms because they control the first touchpoints users see on their phones. Instead of relying exclusively on the Play Store, users often discover apps through: This type of on-device discovery often happens earlier in the user journey than traditional app store browsing. Because of that, OEM ecosystems have gained enormous reach in several high-growth mobile markets. Industry data highlights the scale of this reach: These numbers illustrate an important reality. In many high-growth regions, OEM ecosystems represent the primary gateway to mobile users, sometimes even more important than traditional app stores. The OEM Landscape: Who Controls the Devices Understanding regional vendor dominance is essential for building an effective OEM user acquisition strategy. In Africa, the market is heavily influenced by the Transsion ecosystem, which includes the brands TECNO, Infinix and itel. These brands have historically held a major share of smartphone shipments on the continent, far ahead of most competitors. In Southeast Asia, the competitive landscape includes Samsung, Xiaomi, Transsion, OPPO and vivo, all competing for device market share. Recent shipment data shows Samsung and Xiaomi among the leading vendors, with Transsion rapidly gaining ground. Each vendor operates its own ecosystem that includes: For mobile advertisers, this means OEM traffic is fragmented across several large ecosystems, each with its own reach and regional strength. Why OEM Traffic Unlocks New Scaling Opportunities The growing penetration of OEM ecosystems creates several advantages for UA teams looking to scale mobile app installs. First, OEM channels provide access to audiences outside the traditional advertising auction environment. Many placements exist at the device level and therefore experience less competition compared with large social networks. Second, OEM ecosystems offer native discovery moments. When users encounter apps through system folders or device recommendations, the interaction often feels less intrusive than a typical in-feed advertisement. Third, OEM inventory allows advertisers to reach users in markets where Google Play is not always the primary discovery mechanism. In regions such as Africa, India and Southeast Asia, users frequently interact with manufacturer-specific app stores and recommendation surfaces. Together, these factors make OEM ecosystems an increasingly important component of mobile growth strategies for Android apps. How UA Teams Should Adapt Their Strategy As OEM reach continues to expand, user acquisition teams need to rethink how they structure Android growth. A modern UA strategy should include: Diversifying traffic sources Instead of relying only on Google Play campaigns, marketers should combine Play Store acquisition with OEM inventory from vendors such as Samsung, Xiaomi, vivo and Transsion. Mapping device market share by region UA planning should align with local device penetration. For example, campaigns in Africa might prioritize Transsion inventory, while Southeast Asia may require a mix of Samsung, Xiaomi and other vendors. Optimizing for early engagement events Because OEM placements often drive discovery earlier in the device lifecycle, it becomes important to optimize toward Day-0 and Day-1 events, not just installs. What This Means for Mobile Growth in 2026 The rise of OEM ecosystems signals a broader change in how Android users discover apps. Instead of a single centralized store controlling the majority of distribution, discovery is gradually shifting toward a multi-ecosystem environment that includes device manufacturers, alternative stores and system-level recommendation engines. For UA teams, this creates both complexity and opportunity. Those who understand regional OEM penetration and device-level discovery behavior will gain access to massive audiences that are often underutilized by competitors. In practical terms, the takeaway is simple. Scaling Android growth in 2026 will require looking beyond Google Play and embracing the expanding reach of OEM ecosystems across emerging mobile markets.

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10.03.2026

OEM as a First-Session Accelerator: Why On-Device Traffic Changes Time-to-Value

Mobile user acquisition is evolving fast. As performance marketers seek ways to improve return on ad spend, OEM traffic has emerged as a powerful first-session accelerator. Unlike traditional install channels, mobile inventory from device manufacturers such as Xiaomi, Samsung, Huawei and others reaches users before they even enter an app store or browsing session. This early exposure changes how we think about key metrics like time-to-value and highlights why focusing on first meaningful actions in the session is becoming critical for growth in 2026. Why OEM Traffic Reshapes the Time-to-Value Metric Historically, mobile marketers have used cost per install (CPI) as the primary measure of acquisition efficiency. That made sense in an era when installs were hard won and the focus was simply on getting users to download an app. But OEM traffic works differently. OEM inventory reaches users at native, on-device discovery points such as setup flows, preloads, smart folders and other system-level placements, long before they might see an ad on social or search. Because these placements appear inside the phone’s own interface, they often connect with users early in their device journey. This early exposure means users are more likely to open the app right after install, which in turn affects how quickly they reach the first meaningful action. In this context, time-to-value becomes a more important metric than CPI alone. Instead of simply measuring how much it costs to get an install, UA teams now focus on how long it takes new users to complete that first valuable event — whether it is first app open, tutorial completion, signup, trial start or verification (KYC) process. These actions reflect true user engagement and are better indicators of future spending, retention, and lifetime value. Not Just Installs: The Shift to Meaningful Actions When OEM traffic accelerates time-to-value, what it really means is that users who come through on-device placements often trigger key events sooner than users acquired through feed-based or search ads. For example, a ride-hailing app that optimizes toward first ride bookings sees strong evidence of this shift in UX-driven metrics. In a case study with a mobility app, the UA team pivoted away from optimizing installs and instead focused on CPA — cost per first ride event. After activating OEM native placements inside device search bars, smart folders and browser suggestions, they saw a 2.5x increase in first-ride completions and a much faster conversion pipeline from install to revenue generation.  This illustrates a broader trend: OEM traffic tends to deliver users who engage with the app faster, because they encounter the app in an integrated environment rather than as a distant link in a social or feed ad. Reaching users earlier in their device journey reduces friction between install and value, which shrinks time-to-value and improves downstream metrics like Day-0 and Day-1 events. How OEM Traffic Impacts D0/D1 Events, Trial Start and KYC Completion Metrics like first open, onboarding events, trial start and KYC completion are essential for many app verticals — especially fintech, subscription services and consumer platforms. OEM traffic can influence these early session events in several ways: Early Exposure Increases Engagement Likelihood When users discover an app through system-native placements — such as recommendations during setup or app folders — they often open the app sooner. That reduces delays between install and first open, which helps trigger Day-0 events sooner and improves Day-1 activity. This faster progression has a direct effect on long-term retention, because users who complete critical first steps early in their journey are more likely to stick around. Native Discovery Reduces Onboarding Friction OEM placements don’t interrupt users with external redirects. Instead, they place your app in a context that feels trusted and seamless. That native context has been shown to improve first session engagement and reduce drop-off during initial onboarding, which is essential for completing trial starts or identity verification (KYC) sequences that are common in finance and subscription apps. Shift to Event-Based Optimization Improves Value Signals Unlike campaigns that optimize purely for CPI, OEM advertising programs increasingly let marketers optimize toward events that matter — such as first purchase, tutorial completion or signup verification. As one industry analysis notes, this shift from optimizing for installs to optimizing for meaningful behavior helps growth teams track real user value rather than just traffic.  Why First-Session Metrics Are Becoming the New Focus in 2026 As user acquisition costs continue to rise and competition intensifies across social and in-app networks, UA teams need deeper visibility into how new users behave after installation. In 2026, leading mobile marketers are shifting away from install-centric KPIs to engagement and value-centric KPIs such as: OEM traffic uniquely accelerates these metrics because it catches users at moments of high intent — such as when they first set up their device or explore native recommendations. In an on-device environment, these early touchpoints are more contextual and less interruptive than typical feed ads, which can lead to higher quality users and faster paths to value. That shift makes time-to-value an indispensable metric for modern UA strategy. Conclusion: OEM as a First-Session Accelerator In 2026, thinking about OEM traffic only as a low-CPI channel leaves value on the table. Instead, marketers are coming to see OEM as a first-session accelerator — a source that not only drives volume but also speeds up critical user engagement moments. By focusing on meaningful events rather than just installs, growth teams can better measure true performance, optimize campaigns toward actions that drive revenue, and deliver sustainable growth. As mobile acquisition evolves, time-to-value will be one of the most important metrics for evaluating campaign success, and OEM traffic is positioned to accelerate that metric more reliably than many traditional channels.

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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.

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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.

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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.

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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.

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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.

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