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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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Attribution Catches Up: How MMP Integrations and Deep Linking Are Powering OEM User Acquisition in 2025

OEM advertising has moved into the mainstream, and attribution has followed. In 2025, leading mobile measurement partners (MMPs) now provide native support for preloads, on-device placements, and alternative app stores, while deep-linking infrastructure closes the loop from OEM impression to post-install revenue. The result is a more measurable, scalable path to OEM growth for Android app marketers. OEM user acquisition used to be hard to measure. That’s changed. AppsFlyer, Adjust, Singular and Branch have shipped capabilities that let marketers track factory and first-boot preloads, attribute installs from AppGallery, GetApps, Galaxy Store, and route new users with deferred deep links to the right in-app destination, so OEM no longer sits outside the performance stack. AppsFlyer formalized OEM measurement with preload referrer attribution, designed specifically for campaigns contracted with OEMs, carriers, and app discovery partners; partners can have installs attributed to preload campaigns at the factory or device activation, with multiple supported methods for accurate crediting. This isn’t limited to generic channels: AppsFlyer also documents configuration for Petal Ads (Huawei) and notes attribution support for AppGallery placements and search ads, making Huawei’s ecosystem measurable alongside standard networks.  On the OEM platform side, Huawei’s developer docs explicitly call out MMP integrations. For example, Huawei provides guidance for AppsFlyer, including SDK versioning and referrer parameter requirements—to ensure installs from AppGallery are attributed correctly; there’s parallel guidance for Adjust (SDK v4.28.6+) to support referrer-based attribution as well. These vendor-maintained instructions are a strong signal that OEM storefronts want to be first-class, measurable channels, not just distribution endpoints. For “on-device” inventory aggregated by OEM facilitation layers, attribution is converging too. Singular ships a unified integration for Digital Turbine Media, covering cost aggregation, tracking links, and postbacks; Digital Turbine’s own docs detail attribution windows and event postback setup for Singular. Together, these make installs from device-level placements flow into the same dashboards as Meta, Google, and DSPs. A similar pattern holds for ironSource Aura, Singular’s knowledge base includes a partner configuration, enabling standardized attribution and cost reporting for on-device distribution. Industry glossaries now describe OEM advertising stacks as a blend of device-manufacturer platforms (Samsung, Huawei, Xiaomi) and mediators like Digital Turbine and ironSource Aura, reinforcing that these channels are integrated into modern analytics and MMP workflows.  Deep linking is the other half of the OEM performance story. Deferred deep linking ensures that users who first encounter an app via an OEM placement (setup flow, smart folder, store feature) and then install are routed to intent-matched content on first open, preserving the user journey and enabling down-funnel attribution. Branch defines and supports deferred deep linking for scenarios where the app isn’t yet installed, taking the user through the appropriate store and then straight to the target screen post-install. That reliability is essential for converting OEM exposure into monetizable actions. Finally, platform guidance from Adjust highlights why alternative stores matter strategically. Adjust points out that multi-platform distribution and OEM partnerships for pre-installs and curated placements can materially boost visibility and performance as app-store policies and regional regulations evolve, another reason advertisers want OEM channels fully wired into their MMPs. What this means for marketers Attribution and deep-linking support have removed the biggest barrier to scaling OEM traffic. Preloads and on-device ads can now be measured like any other UA source (click/view-through windows, postbacks, ROI modeling), Huawei/Xiaomi ecosystems are instrumented for referrer-based credit, and deferred deep links preserve intent and increase conversion after install. If your MMP already supports AppsFlyer/Adjust/Singular partner setups for Petal Ads, AppGallery, Digital Turbine, and ironSource Aura, you can bring OEM into your standard testing, incrementality design, and LTV forecasting, rather than treating it as a black box.  Bottom line With OEM attribution (preload referrers, partner integrations) and deep linking now production-ready, OEM placements have become a measurable, optimization-friendly channel in the Android UA mix. The tech is no longer the constraint – your brief, your creative, and your incrementality design are.

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V-Appstore expanded to 16 more countries: How to rethink OEM geo priorities

Vivo quietly widened the reach of its Android storefront this summer: V-Appstore expanded to 16 additional countries/regions on June 19, 2025. For growth teams, that’s not a footnote it shifts where on-device/OEM budgets can scale with store-level intent and native featuring. When an OEM store grows, it doesn’t just add inventory; it concentrates high-intent discovery (browse, search, and editorial featuring) inside a closed loop that converts faster than generic in-app display. With V-Appstore now live in more markets and with a free “V-Star” featuring program and standard AppsFlyer integration, early movers can capture cheaper installs and stronger D1/D7 before auctions crowd in. What changed and why It matters for UA The official developer communications confirm the June expansion, positioning V-Appstore as a parallel distribution rail on vivo devices worldwide. Practically, this means more store-adjacent placements where users are already in “install mode,” plus new chances to stack paid bursts with editorial featuring to compound rank and retention. For teams that buy to value (CPE/CPO, D7 ROAS) instead of CPI alone, OEM stores tend to deliver cleaner first sessions because the path from ad → store → install → open is short, consistent, and expectation-matched. Where to point budgets first Prioritize India and big SEA markets where vivo’s footprint is strongest and Android growth remains healthy. Recent market reads show India rebounding in Q2’25, with multiple trackers noting vivo at or near the top of brand share; that mix supports value-based bidding on store inventory. In Southeast Asia (Indonesia, Vietnam, Thailand, Philippines, Malaysia), vivo maintains meaningful share and user familiarity with OEM stores, fertile ground for store browse/search and featuring. If you buy LATAM or EMEA, phase in country-by-country pilots where Android price bands are dominant and vivo penetration is material, then scale only where D7 ROAS holds. How to adapt your OEM Playbook Treat V-Appstore product pages like conversion-optimized landers: localize title and short description, lead with outcome-first screenshots, and keep a 6–10-second looped demo aligned to your ad promise. Submit to V-Star to line up free featuring, then time your paid bursts to the featuring window to stack ranking signals. Configure vivo Ads as an integrated partner in AppsFlyer so paid, featured, and organic store flows attribute cleanly; pass post-install events (onboarding complete, first purchase) to benchmark D1/D7 against your in-app baseline. Keep deep links set to “resume task” so first opens land on the exact action you advertised: scan, book, play, top-up, which is the strongest leading indicator for retention in store-adjacent channels. Measurement and Guardrails In new V-Appstore geos, prove incrementality before full rollout: run geo holdouts versus your incumbent in-app mix and compare incremental new users and incremental ARPU rather than last-touch. Expect lower variance in cost per engaged open versus broad display when you stay inside store browse/search. As you scale, track uninstall rate alongside D1/D7: OEM store paths usually reduce “what is this?” opens, but you should demote markets or surfaces that lift CPI without improving stickiness. (AppsFlyer’s standard partner setup for vivo Ads covers view-through windows and postback mapping; use it to keep cohorts clean.) Bottom line The 16-country V-Appstore expansion makes OEM stores a first-class lane for Android growth, not a side experiment. Lead with India and major SEA, buy to CPE/CPO or D7 ROAS, stack V-Star featuring with paid bursts, and measure incrementality, you’ll capture store-level intent while the channel is still underpriced. Teams that reweight their geo plan now will bank both cheaper installs and better retention curves as OEM distribution becomes a larger slice of Android UA.

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