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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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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

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Which Xiaomi placements deliver the best retention? A 2025 Playbook for UA managers

Xiaomi’s on-device ecosystem (HyperOS/MIUI) lets you reach users at the exact moments they’re already searching for, setting up, or organizing apps. When discovery happens in a system context: GetApps, App Vault, browser mini-cards, smart folders, or device setup (OOBE/dynamic preloads), installs feel intentional, the first open is smoother, and D1/D7 curves are typically stronger than broad display alone. If your ad appears where people expect to install, you don’t need to convince them twice store-adjacent and setup placements often beat generic splash/interstitial inventory on both CPI and stickiness. The retention logic behind Xiaomi placements Retention rises when (1) intent is high, (2) friction is low, and (3) context matches your promise. What to prioritize (and why) 1) Lead with GetApps. Treat it as your quality anchor; it’s where users expect to install and where the path to first value is shortest.2) Pair with setup moments. If eligible, use OOBE/dynamic preloads or smart folders to compress time-to-value and nudge habit formation.3) Layer App Vault & Browser mini-cards. Use them when your value prop fits the pan quick tools, news, finance, utilities, learning.4) Keep the display, but govern it. Run splash/interstitial/rewarded for reach; manage with frequency caps, creative freshness, and negative placement lists. Measuring retention properly in Mi Ads Creative & UX choices that lift stickiness Xiaomi retention checklist (ship this quarter) Placement mix Signals & optimization Creative & landing Controls & guardrails Bottom Line If retention is the goal, start where intent is highest and paths are shortest: GetApps and store-adjacent units, then setup moments (OOBE/preloads/smart folders), then App Vault and Browser native where context fits. Keep a broad display for reach, but let system-native surfaces carry your quality targets. Instrument D1/D7 cleanly, keep cohorts comparable, and give Xiaomi’s allocation/optimization room to learn. Do that, and your Xiaomi mix won’t just be cheaper it will stick.

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OEM advertising in 2025: why UA teams should prioritize on-device traffic (LATAM/MEA/SEA data inside)

Where a few vendors dominate shipments, on-device inventory is dense and cheaper to scale. Q2-2025 shipment data shows exactly those conditions: Why this matters: OEM advertising is not just “another network. It’s on-device media defined by the vendor’s software surfaces (preload, recommendations, app store, lock screen). Treat it as a distinct storefront in your UA plan. Economics are improving for on-device New surfaces = higher intent moments On-device discovery is getting more shoppable. Glance × Samsung launched opt-in AI shopping on Galaxy lock screens in the US (app + lock-screen experience, ~50M devices), turning first-look moments into commerce. For UA, these surfaces act as high-attention paths to first open and increasingly, to purchase.  A practical OEM-first playbook for UA managers In 2025, OEM traffic is the lever for efficient Android scale. Shipment concentration in LATAM, MEA, and SEA, better store rev-share, expanding OEM storefronts (V-Appstore), and new lock-screen commerce make on-device buys the most reliable way to keep CPI predictable and ROAS rising. If your plan still treats OEM as an afterthought, you’re leaving reach and unit economics on the table.

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On-Device vs. “Old School” UA in 2025: Where the Smart Money Flows

As a team that runs a mobile-traffic source with deep OEM integrations, we’ve audited what on-device ads actually deliver in 2025 versus mainstream social/search. The short version: first-screen inventory is rewriting acquisition math — if you activate it the right way. The economics: cheaper clears, earlier intent On-device auctions live where competition is thin and attention is high — during setup (OOBE), in system folders, and on the lock screen. That structural edge shows up in hard results: a REPLUG ride-hailing test cut CPI 32% vs. Google UAC and lifted installs +174% in Tier-2 EMEA; MobileAction pegs OEM buys 25 – 35% cheaper than Facebook across Tier-1; and typical social CPMs in 2025 still sit 2× higher than OEM. Lock-screen “Vertical Ads” (e.g., the AEGEAN launch with Dentsu in Greece) place your creative literally on the first screen a user sees — there’s no below-the-fold guesswork. The quality: native surfaces, stickier users When an ad appears inside trusted system surfaces, it behaves less like an interruption and more like guidance. In the same REPLUG data, Xiaomi GetApps traffic posted +26% D7 retention vs. Meta. Tenjin cites a Hong Kong publisher that gained +20% installs with strong global retention via GetApps distribution. Cheaper doesn’t mean low-intent; it often means earlier intent. Measurement & risk: privacy-proof signals with lower IVT Social and open exchanges are battling identity loss (ATT on iOS, Sandbox on Android) and persistent IVT. OEM supply is different: requests are server-to-server and device-verified, so fraud is near-zero relative to open web norms; GAID/OAID still enable deterministic attribution today while Sandbox testing ramps. Viewability? Lock-screen and OOBE units are 100% in-view by design. The catch: operations — not outcomes Trade-offs are real. OEM reach is predominantly Android; each vendor (Samsung, Xiaomi, OPPO, Huawei, etc.) runs its own console, placements and specs; creative toolkits skew toward clear value props over heavy interactivity. Meanwhile, mainstream channels still win on single-dashboard reach (iOS+Android), mature creative testing suites, and deep retargeting via first-party graphs. Our guidance for 2H-2025 Treat OEM as an incremental growth rail, not a replacement. Start with a high-volume vendor (e.g., Xiaomi) to validate unit economics, then expand. Over-bid for 48 hours to feed smart-bid (oCPC) with ≥30 daily conversions, then shift to post-install goals (D1 retention, registration, purchase) using post-link optimization. Use lock-screen or OOBE for launch bursts, and keep native/icon units always-on for steady scale. Run quarterly incrementality tests — deterministic IDs make true lift measurable even as Sandbox tightens. Conclusion Open, vendor-verified evidence is convergent: OEM advertising delivers lower CPIs, cleaner traffic, and stronger early retention than traditional UA — at the price of Android-first operations and a few extra playbooks to learn. Teams that blend OEM with social/search, wire measurement early, and design creatives for first-screen moments will lock in a durable cost-and-quality edge as privacy reshapes mobile growth. Everyone else will keep bidding higher, one tap later.

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Mi Ads: Turning the First Screen into Scalable, Privacy-Ready UA

As the team behind a mobile-traffic source that connects programmatic buyers with on-device inventory, we’ve spent the last quarter re-benchmarking Mi Ads. The verdict: Xiaomi’s ad stack has the scale, surfaces and APIs to act as a primary Android growth channel in 2H-2025 — not a niche OEM detour. Here’s our operator’s view of what matters and how to activate it. If you’re chasing lower CPIs without sacrificing post-install quality, the shortest path is still the first screen. Mi Ads sits inside HyperOS and system apps, which means high intent impressions few networks can replicate. Scale & momentum Xiaomi reports 718.8M global MAU as of March 2025 (up +9.2% YoY) with Internet Services revenue at RMB 9.1B in Q1 2025 — explicitly driven by ads. That gives Mi Ads both audience certainty and budget-level executive focus.Crucially for international UA, Xiaomi’s own Mi Ads site states reach across 200+ countries/regions and 410M+ overseas active users, validating supply outside mainland China for global launches. Where the impressions live Mi Ads consolidates system surfaces like GetApps, Mi Video, Mi Browser, Mi Music and more, giving always-on reach beyond standard SDK supply. Lock-screen units (“Vertical Ads”) rolled out globally through 2024 and have already been used in the market — see the AEGEAN case that placed native creatives directly on Xiaomi lock screens. For new-device bursts, OOBE (out-of-box activation flow) puts app offers in front of users before the home screen.  Creative specs you can ship today Production is straightforward: large images 1200×628 or 600×314 (≤500KB), videos 0–30s (≤10MB), titles ≤30 chars, descriptions ≤80, CTAs ≤15. Splash and wallpaper sizes are documented as well. We’ve standardized our creative pipelines around these specs to accelerate testing across icon, native, interstitial, rewarded and splash.  Buying rails & optimization Two pieces make Mi Ads workable at scale: On the bidding side, Xiaomi’s Smart Bidding (oCPC) can optimize beyond install — Post-link Metric Optimization targets D1 retention, registration or purchase. We typically switch to oCPC once early conversions stabilize and feed those postbacks back to Mi Ads to shorten learning. Privacy, brand-safety & user control Because these surfaces are OS-native, governance matters. Xiaomi publishes advertising policies and a MIUI/HyperOS privacy white paper covering app-usage data and ads; users can restrict personalized ads/usage collection in settings, and Mi Ads honors those signals at request time. That gives buyers a clean path to scale within modern privacy expectations. How we activate Mi Ads for clients We start broad across system placements (icon/native/interstitial) to gather signals, then bias budget to lock-screen + OOBE for bursts and newsfeed/native for cost-efficient scale. We ingest Reporting API into our LTV pipeline, flip oCPC once D1/D2 events exceed thresholds, and run quarterly lift tests to separate Mi Ads contribution from other Android channels — an approach aligned with Xiaomi’s own core-agency playbooks. Bottom line With 700M-plus MAU, proven international reach, OS-level surfaces, and real APIs for measurement and control, Mi Ads has crossed from “interesting OEM” to a core performance rail. Teams that wire Reporting/Marketing APIs, lean into lock-screen & OOBE, and optimize to post-install value will bank a durable CPI and ROAS advantage before peak season hits. Everyone else will be bidding for the same audiences — one tap later.

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