What Is OEM Advertising? How Growth Brands Win on Devices in a Privacy-First Era
Mary Gabrielyan
April 20, 2026
14
minutes read
Rising acquisition costs and signal loss are reshaping mobile growth strategies. Mobile app install costs increased across many verticals in recent years, while global smartphone shipments still exceed 1.1 billion devices annually, creating a massive device-level discovery surface. OEM advertising leverages these device ecosystems to provide privacy-stable access to users, offering growth teams a scalable alternative to increasingly saturated platform-driven acquisition channels.
OEM advertising — often referred to as OEM marketing or OEM digital marketing — represents the next evolution of mobile user acquisition within device ecosystems. Originally associated with simple pre-installed apps on smartphones, OEM advertising has expanded into a sophisticated channel where brands promote mobile apps and services directly through device manufacturers’ platforms, app stores, and system-level placements.
Today, OEM channels enable advertisers to reach users earlier in the discovery journey, often at the moment a new device is activated. These placements can appear as preloads, app store recommendations, device setup suggestions, and system-level promotional surfaces controlled by manufacturers such as smartphone brands and operating system partners.
The scale of this opportunity is significant. According to IDC, global smartphone shipments reached over 1.17 billion units, representing a massive surface for device-level discovery and app distribution. At the same time, alternative app stores and OEM channels can drive significantly lower acquisition costs compared with traditional paid media, particularly in emerging markets where Google Play and Apple App Store competition is intense.
This shift is also occurring alongside broader changes in the digital advertising ecosystem. Research from McKinsey notes that privacy regulations and signal loss are forcing marketers to diversify acquisition strategies and prioritize first-party environments that provide stable measurement and sustainable growth. OEM ecosystems naturally align with this shift because they operate within device-native environments rather than relying heavily on third-party tracking infrastructure.For marketers, the strategic implication is clear: OEM advertising is becoming a core component of modern growth strategies. By combining premium inventory, device-level targeting, and AI-driven media planning, OEM platforms now enable brands to scale acquisition while maintaining measurable outcomes such as retention, lifetime value (LTV), and market expansion.
Understanding how this ecosystem works—and how to integrate it into a broader growth framework—is becoming increasingly important for performance teams, app marketers, and programmatic specialists navigating today’s privacy-first digital landscape.
Why OEM advertising is gaining strategic importance
Over the past few years, the economics and infrastructure of digital acquisition have changed dramatically. Marketers are operating in an environment defined by rising costs, signal fragmentation, and growing dependency on a small number of dominant platforms.
One of the clearest indicators of this shift is rapidly increasing mobile acquisition costs. According to AppsFlyer’s Performance Index and mobile market reports, average cost-per-install (CPI) for mobile apps increased significantly across competitive verticals, particularly in markets such as fintech, gaming, and subscription services where user competition is intense.
At the same time, privacy regulation and platform policy changes have reshaped how targeting and measurement work. Frameworks such as Apple’s App Tracking Transparency (ATT), alongside global privacy regulations including GDPR in Europe, have reduced the availability of third-party identifiers that historically powered mobile performance advertising.
💡As a result, marketers are increasingly prioritizing first-party ecosystems and premium supply paths where inventory quality, data signals, and measurement frameworks are more stable. This broader shift is visible across several advertising sectors—from retail media networks to curated programmatic supply paths.
Within this context, OEM advertising has become strategically valuable. By enabling brands to promote OEM apps and mobile apps directly within device ecosystems, advertisers gain access to high-intent discovery moments inside manufacturer-controlled environments.
Unlike open exchanges where inventory quality varies widely, OEM media operates within curated device platforms such as manufacturer app stores, device setup flows, and recommendation systems. For growth teams seeking more predictable performance, this creates a channel where supply quality, user intent, and measurement transparency are easier to manage.
Early access to discovery-stage users
Timing is one of the most underestimated advantages of OEM advertising.
Most OEM placements appear during device setup, onboarding flows, or early device exploration, when users are actively deciding which apps and services to install. These moments include surfaces such as:
Device activation recommendations
Manufacturer app store discovery feeds
System-level suggestion modules
Preloaded or recommended OEM apps
From a behavioral standpoint, this timing matters. Google and Ipsos mobile usage research shows that users install a large share of their “core apps” within the first days after activating a new device. During this window, discovery intent is high and brand loyalty is still forming.
For marketers, this creates a structural advantage. OEM ads reach users before many traditional performance channels even enter the decision process.
Lower competition at this stage often translates into:
Higher engagement rates
Lower bidding pressure
Stronger long-term retention signals
💡When an app becomes part of a user’s initial device setup ecosystem, it is more likely to remain installed and used over time. That early presence can influence lifetime value (LTV) and downstream engagement metrics, which is why OEM discovery is increasingly treated as a strategic acquisition moment rather than simply another install channel.
Privacy-first, premium inventory
Another reason OEM marketing is gaining strategic attention is its alignment with privacy-first advertising infrastructure.
Unlike many open programmatic environments where inventory passes through multiple intermediaries, OEM ecosystems operate within manufacturer-controlled platforms. These environments typically include:
Manufacturer app stores
Device-native discovery modules
System-level promotional surfaces
Curated app recommendation engines
Because these environments are controlled directly by device manufacturers, they operate primarily on first-party infrastructure rather than third-party tracking networks.
This structure provides several operational advantages:
More stable data signals originating from the device ecosystem
Reduced exposure to invalid traffic and spoofed inventory
Clearer supply transparency compared to open exchanges
As digital advertising supply chains become more complex, supply quality itself is becoming a strategic media lever. Marketers increasingly evaluate not just targeting or bidding logic, but also where inventory originates and how predictable that supply path is.
💡OEM ecosystems align with this shift toward curated media environments, which is why many growth teams evaluate OEM placements alongside modern mobile programmatic strategies that prioritize high-quality supply.
⚡️For a deeper breakdown of how curated supply paths and automation influence mobile advertising today, see this guide onmobile programmatic advertising.
Improved CAC efficiency and stronger retention signals
Beyond discovery timing and privacy advantages, OEM advertising can directly influence core growth metrics, particularly customer acquisition cost (CAC), retention, and lifetime value (LTV).
The underlying mechanism is straightforward: early exposure inside curated environments tends to produce more efficient acquisition economics than late-stage competitive bidding environments.
Several factors contribute to this effect:
Lower competition during device onboarding stages
High-intent discovery behavior
Curated inventory environments with less low-quality traffic
According to AppsFlyer’s mobile acquisition analyses, channels that reach users earlier in the app discovery lifecycle can often produce stronger retention signals compared to channels that rely heavily on retargeting or late-stage install incentives.
For growth teams focused on long-term value rather than just install volume, this matters. Acquisition efficiency should be evaluated not only through initial CPI or CPA, but through cohort retention and lifetime value performance.
OEM campaigns integrated into broader KPI frameworks can therefore support:
More efficient CAC
Higher-quality user cohorts
Improved retention and engagement patterns
💡This is one reason OEM channels are increasingly included in performance-driven media strategies rather than treated solely as distribution partnerships.
Media diversification and scalable growth
Modern marketing strategies increasingly emphasize channel diversification.
Overreliance on a single platform—whether paid social, search, or a dominant app store ecosystem—creates exposure to cost volatility, algorithm changes, and measurement limitations. Many growth teams experienced this firsthand when platform privacy changes rapidly altered performance assumptions across the industry.
OEM advertising helps address this risk by introducing device-native discovery environments into the media mix.
Instead of competing entirely inside existing ad platforms, brands gain access to additional acquisition surfaces embedded within the device ecosystem itself.
OEM channels are particularly relevant for industries where mobile engagement drives revenue, including:
Retail and commerce apps
Fintech and digital banking
Mobile gaming
Subscription platforms
Travel and mobility services
When integrated with programmatic advertising, retail media networks, and paid social strategies, OEM media allows brands to spread acquisition risk across multiple ecosystems while unlocking additional growth surfaces.
In a digital landscape increasingly defined by privacy constraints and platform consolidation, this diversification is becoming a core strategic principle for scalable growth.
For many organizations, the takeaway is simple: OEM advertising is no longer just an app distribution tactic—it is an emerging component of modern, privacy-first media strategies designed for predictable long-term growth.
How OEM advertising works in practice
At a practical level, OEM advertising gives brands access to placements inside device manufacturers’ ecosystems—not just inside traditional ad platforms. Instead of relying only on paid social, search, or open exchange inventory, advertisers can place apps and services directly in front of users on the device itself, often during high-attention discovery moments.
Brands typically access this inventory through OEM media partners, app distribution platforms, or programmatic partners with direct manufacturer relationships. The execution model varies by OEM, but the principle is consistent: the brand secures visibility inside a controlled device environment where users discover, install, or engage with apps.
That visibility usually comes through a few main placement types: preloads, on-device recommendations, widgets, OEM app store placements, and launcher surfaces. Each format serves a slightly different role, but all of them are designed to place the brand closer to the device-level discovery journey.
The advantage is straightforward. OEM placements appear where user attention is native, contextual, and less saturated than traditional acquisition channels. That makes OEM advertising especially useful for brands that want more predictable visibility, stronger supply quality, and a scalable alternative to platform-heavy growth strategies.
Pre-loaded apps (Preloads)
Preloads are one of the most direct forms of OEM advertising.
In this model, an app is installed on the device before the user buys or activates it. When the device is turned on for the first time, the app is already present—either fully installed or set up for immediate activation.
The main strategic benefit is guaranteed visibility from day one.
Instead of competing for attention after the user has already chosen their preferred apps, the brand enters the device ecosystem at the earliest possible stage. This can be especially valuable for categories where early habit formation matters, such as:
fintech
retail
streaming
utilities
subscription apps
For growth teams, preloads offer three clear advantages:
Immediate scale across device shipments
Early user exposure before app preference is fixed
High visibility without relying on crowded auction environments
Preloads do not automatically guarantee engagement, so performance should still be measured against activation, retention, and downstream value. But from a distribution standpoint, they remain one of the strongest OEM formats for broad reach and early discovery.
On-device recommendations and widgets
Another common OEM format is on-device recommendations delivered through native feeds, suggestion surfaces, or widgets.
These placements are built directly into the device experience. Rather than appearing as traditional ads, they function more like contextual recommendations inside the interface—for example during setup, inside a content panel, or within a device widget that highlights relevant apps or services.
This matters because the discovery experience feels native to the operating environment, not interruptive.
For advertisers, that creates a different kind of value than a standard install campaign. These placements can drive:
contextual discovery
higher-quality engagement
more natural user interaction with the brand
Because the recommendation appears inside a manufacturer-controlled surface, it often benefits from stronger visibility and cleaner supply conditions than broader open-market inventory.
In practice, this format works well for brands that want to influence consideration and discovery, especially when the goal is not just raw installs, but qualified user acquisition inside premium device environments.
OEM app store and launcher placements
OEM advertising also includes placements inside manufacturer app stores and device launchers.
These are valuable because they reach users during high-intent browsing or search moments. If a user is actively exploring apps, searching for utilities, or browsing categories inside an OEM app store, the brand can appear at exactly the point where installation intent is already present.
Launcher placements serve a similar role. Since the launcher is part of the device’s everyday navigation layer, sponsored or featured visibility there can place an app directly within recurring user attention zones.
The key advantage of these formats is intent.
Unlike awareness-only environments, OEM app store and launcher placements often capture users who are already open to discovery or installation.
That makes them especially relevant for performance strategies focused on:
high-intent visibility
efficient app discovery
stronger conversion probability
For app marketers, this is one of the clearest ways OEM media supports growth: it inserts the brand into moments where users are already looking for something to install, try, or use.
Measurement and attribution considerations
OEM campaigns should be measured with the same discipline as any other acquisition channel, but the attribution logic needs to reflect how device-level discovery actually works.
In practice, OEM measurement usually relies on a combination of:
MMP integrations
cohort analysis
retention tracking
incrementality testing
The reason is simple: OEM influence often begins earlier in the user journey than a standard click-based install campaign.
A preload, an app store placement, or an on-device recommendation may shape user behavior before the final install or open event is recorded. That means marketers need to evaluate performance beyond last-click reporting.
A strong OEM measurement framework usually includes:
Install and activation tracking through an MMP
Retention analysis by source and cohort
Incrementality testing to isolate true lift
LTV comparison against other acquisition channels
Time-window design also matters. OEM placements can influence installs over a longer decision cycle than direct-response ads, so attribution windows should be set carefully and interpreted in context. Short windows may undercount the value of early discovery exposure, while overly broad windows can inflate performance claims.
The most useful approach is to treat OEM as a measurable growth channel, not just a visibility tactic. That means evaluating success through retention, cohort quality, CAC efficiency, and incrementality—not installs alone.
OEM vs traditional user acquisition channels
Most mobile acquisition strategies rely on paid social, search advertising, and DSP-driven programmatic buying. These channels remain effective, but they operate in highly competitive auction environments where costs rise as more advertisers compete for the same users. Signal loss from privacy frameworks and increasing platform concentration have also made performance less predictable for many growth teams.
OEM advertising works at a different layer of the ecosystem. Instead of competing only within advertising platforms, OEM campaigns place apps and services directly inside device environments—such as manufacturer app stores, device setup flows, recommendation panels, and launcher placements. This means discovery can happen within the device experience itself, often earlier in the user journey.
Demand-Side Platform (DSP)
⚡️One key difference is how inventory is sourced. Traditional performance channels rely on complex programmatic infrastructure where impressions pass through exchanges, SSPs, and DSPs before reaching the advertiser. This multi-step pathway can introduce transparency and quality challenges. A deeper breakdown of how these systems operate is covered inDigital advertising supply chain explained.
OEM ecosystems are typically manufacturer-controlled environments, where placements originate from the device platform itself. This can create more structured supply paths and less fragmented inventory access compared with open exchange buying.
Competition dynamics also differ. Paid social and search concentrate global advertising demand, which drives intense bidding pressure and rising acquisition costs. OEM environments distribute competition differently by placing brands inside curated discovery surfaces where users are exploring apps and services directly on the device.
⚡️Traditional programmatic buying still plays a critical role in scaling reach and targeting. Platforms such as DSPs allow marketers to automate buying and optimize campaigns across multiple publishers. For a detailed overview of how these platforms operate, seeDemand-side platform (DSP).
💡The practical takeaway is simple: OEM advertising is not a replacement for paid social, search, or programmatic media. Instead, it acts as a complementary growth channel, expanding where brands can reach users while helping diversify acquisition risk across the modern mobile media landscape.
When OEM advertising makes strategic sense
OEM advertising is most effective when brands need new discovery surfaces beyond saturated performance channels. As competition intensifies across paid social, search, and traditional programmatic buying, many growth teams face rising customer acquisition costs and diminishing incremental reach.
In these conditions, OEM advertising becomes strategically valuable because it expands where user discovery happens. Instead of relying only on platform-driven auctions, brands gain visibility inside device ecosystems, including manufacturer app stores, onboarding flows, and system-level recommendation surfaces.
This approach is particularly useful for organizations that want to:
Diversify acquisition beyond a few dominant platforms
Reach users earlier in the app discovery lifecycle
Improve acquisition efficiency in high-competition markets
Scale user growth across new regions and device ecosystems
OEM channels are also effective when long-term value matters more than short-term install volume. Because placements often appear during device onboarding or early exploration, they can influence initial app selection and long-term usage habits.
💡As mobile ecosystems evolve toward privacy-first infrastructure and device-native discovery, OEM media is increasingly positioned alongside programmatic and app store marketing as part of modern mobile growth strategies.
Retail and commerce apps are among the categories where OEM advertising can deliver strong growth impact.
These businesses depend heavily on consistent user acquisition and product discovery, yet traditional performance channels in retail are among the most competitive in digital advertising. Paid social and search campaigns frequently involve high bidding pressure from multiple retailers competing for the same audiences.
OEM placements provide an alternative discovery layer.
By surfacing retail apps directly on new devices or within device-level recommendation environments, OEM campaigns introduce shopping platforms at the moment when users are setting up their digital ecosystem. This early visibility can influence which commerce apps become part of a user’s routine.
For retail platforms, OEM advertising can support:
Scalable user acquisition across device markets
Increased visibility during device onboarding
Expanded product discovery through app adoption
⚡️This approach becomes even more valuable when paired with broader growth planning and demand forecasting strategies. For businesses planning long-term expansion in digital commerce, frameworks such as Retail forecasting: What it is and how to do ithelp align acquisition investments with projected consumer demand and market growth.
💡When integrated into a diversified media mix, OEM advertising can help retail and commerce brands expand their customer base while reducing dependence on increasingly saturated advertising channels.
Fintech and subscription models
Fintech platforms and subscription-based services benefit from OEM advertising because it captures users during device upgrade and onboarding moments, when openness to trying new digital services is typically higher. When consumers activate a new smartphone, they often evaluate which apps they will use for payments, banking, streaming, productivity, or financial management.
OEM placements allow these brands to appear during that early decision window, through device recommendations, app store promotions, or pre-installed app partnerships. This timing can be valuable for financial and subscription services where early adoption often leads to long-term usage and recurring revenue.
For fintech and subscription products, OEM campaigns can support:
Early user acquisition during device onboarding
High-visibility discovery within trusted device environments
Long-term retention potential from early app adoption
Because these placements occur inside manufacturer-controlled ecosystems, they also align well with the privacy-sensitive nature of financial services marketing.
Gaming and app-based businesses
For mobile gaming and app-based platforms, OEM advertising offers a way to generate cost-efficient installs and incremental audience reach beyond traditional paid social environments.
Gaming advertisers typically operate in extremely competitive acquisition markets, where install campaigns on major platforms can quickly become expensive due to bidding competition. OEM placements introduce an additional distribution layer where games can be discovered directly within device ecosystems, often through recommendation panels, app stores, or launcher placements.
This can create several advantages for gaming and app-based businesses:
Access to new audiences outside crowded advertising platforms
Lower competition during early discovery moments
Incremental installs that complement social and programmatic campaigns
When used alongside other acquisition channels, OEM can help gaming companies scale user growth without relying exclusively on auction-driven install campaigns.
Performance teams facing rising CPIs
Many performance teams are currently dealing with rising cost-per-install (CPI) benchmarks and increasingly fragmented measurement environments. Platform privacy changes, auction competition, and signal loss have made it harder to scale acquisition efficiently through a single channel.
In this environment, OEM advertising functions as a diversification strategy.
Rather than concentrating budgets entirely within a few major platforms, OEM campaigns introduce additional discovery surfaces embedded directly into device ecosystems. These placements can provide incremental reach while reducing exposure to the cost volatility that often affects platform-based advertising.
For growth teams managing CPI pressure, OEM can contribute to:
more stable discovery opportunities within device environments
When integrated into a broader media mix, OEM helps performance teams balance scale, efficiency, and supply diversity in increasingly competitive mobile acquisition markets.
Operationalizing OEM for predictable growth
OEM advertising delivers the most value when it is treated not as a one-off distribution tactic, but as part of a structured growth strategy. The difference between opportunistic installs and predictable performance usually comes down to planning, supply quality, and measurement discipline.
The first step is AI-driven media planning. Instead of treating OEM placements as isolated buys, growth teams increasingly evaluate them within broader performance models that consider market demand, device penetration, audience behavior, and historical campaign performance. AI-based planning tools can analyze these signals to identify where OEM placements are most likely to generate high-quality installs and long-term engagement.
The second layer is curated supply access. Not all device environments offer the same performance potential. High-performing OEM strategies focus on manufacturer ecosystems and inventory paths that deliver transparent, high-quality discovery surfaces—such as trusted app stores, onboarding recommendations, and system-level placements. Curated supply reduces exposure to low-quality traffic and improves the predictability of acquisition outcomes.
Measurement is the third critical layer. To operationalize OEM effectively, teams typically integrate mobile measurement partners (MMPs), cohort analysis, and incrementality testing. This allows marketers to evaluate performance through retention, lifetime value (LTV), and customer acquisition cost (CAC) rather than relying solely on install volume.
When measured correctly, OEM campaigns can contribute to higher-quality user cohorts that support long-term growth objectives.
Finally, OEM works best when integrated with other acquisition channels rather than operating in isolation. When coordinated with programmatic buying, paid social, and app store marketing, OEM helps create a more diversified and resilient media mix, where discovery happens across multiple environments instead of a single platform.
Conclusion: Make OEM a strategic growth lever
OEM advertising has evolved from a niche app distribution tactic into a meaningful component of modern mobile growth strategies. By placing brands directly inside device ecosystems, it allows advertisers to reach users earlier in the discovery process, often before competition intensifies inside traditional advertising platforms.
The channel tends to deliver the strongest impact for industries where mobile engagement and user acquisition drive revenue, including:
retail and commerce apps
fintech and digital banking platforms
subscription services
gaming and app-based businesses
For these sectors, OEM provides an additional discovery layer that complements paid social, search, and programmatic buying, helping brands reach new audiences while diversifying acquisition risk.
💡However, the true advantage of OEM does not come from access alone. Its long-term value emerges when it is combined with AI-driven planning, curated supply strategies, and rigorous performance measurement. When these elements work together, OEM becomes more than a traffic source—it becomes a scalable channel for predictable growth within privacy-first digital ecosystems.
As mobile advertising continues to evolve toward device-native discovery and privacy-aware infrastructure, OEM environments are likely to play an increasingly important role in how brands reach and retain users.
⚡️If you want to explore how curated supply and AI-driven media planning can support your OEM strategy, you can get in touch with AI Digital to discuss how device-level discovery can fit into your broader growth roadmap.
Blind spot
Key issues
Business impact
AI Digital solution
Lack of transparency in AI models
• Platforms own AI models and train on proprietary data • Brands have little visibility into decision-making • "Walled gardens" restrict data access
• Inefficient ad spend • Limited strategic control • Eroded consumer trust • Potential budget mismanagement
Open Garden framework providing: • Complete transparency • DSP-agnostic execution • Cross-platform data & insights
Optimizing ads vs. optimizing impact
• AI excels at short-term metrics but may struggle with brand building • Consumers can detect AI-generated content • Efficiency might come at cost of authenticity
• Short-term gains at expense of brand health • Potential loss of authentic connection • Reduced effectiveness in storytelling
Smart Supply offering: • Human oversight of AI recommendations • Custom KPI alignment beyond clicks • Brand-safe inventory verification
The illusion of personalization
• Segment optimization rebranded as personalization • First-party data infrastructure challenges • Personalization vs. surveillance concerns
• Potential mismatch between promise and reality • Privacy concerns affecting consumer trust • Cost barriers for smaller businesses
Elevate platform features: • Real-time AI + human intelligence • First-party data activation • Ethical personalization strategies
AI-Driven efficiency vs. decision-making
• AI shifting from tool to decision-maker • Black box optimization like Google Performance Max • Human oversight limitations
• Strategic control loss • Difficulty questioning AI outputs • Inability to measure granular impact • Potential brand damage from mistakes
Managed Service with: • Human strategists overseeing AI • Custom KPI optimization • Complete campaign transparency
Fig. 1. Summary of AI blind spots in advertising
Dimension
Walled garden advantage
Walled garden limitation
Strategic impact
Audience access
Massive, engaged user bases
Limited visibility beyond platform
Reach without understanding
Data control
Sophisticated targeting tools
Data remains siloed within platform
Fragmented customer view
Measurement
Detailed in-platform metrics
Inconsistent cross-platform standards
Difficult performance comparison
Intelligence
Platform-specific insights
Limited data portability
Restricted strategic learning
Optimization
Powerful automated tools
Black-box algorithms
Reduced marketer control
Fig. 2. Strategic trade-offs in walled garden advertising.
Core issue
Platform priority
Walled garden limitation
Real-world example
Attribution opacity
Claiming maximum credit for conversions
Limited visibility into true conversion paths
Meta and TikTok's conflicting attribution models after iOS privacy updates
Data restrictions
Maintaining proprietary data control
Inability to combine platform data with other sources
Amazon DSP's limitations on detailed performance data exports
Cross-channel blindspots
Keeping advertisers within ecosystem
Fragmented view of customer journey
YouTube/DV360 campaigns lacking integration with non-Google platforms
Black box algorithms
Optimizing for platform revenue
Reduced control over campaign execution
Self-serve platforms using opaque ML models with little advertiser input
Performance reporting
Presenting platform in best light
Discrepancies between platform-reported and independently measured results
Consistently higher performance metrics in platform reports vs. third-party measurement
Fig. 1. The Walled garden misalignment: Platform interests vs. advertiser needs.
Key dimension
Challenge
Strategic imperative
ROAS volatility
Softer returns across digital channels
Shift from soft KPIs to measurable revenue impact
Media planning
Static plans no longer effective
Develop agile, modular approaches adaptable to changing conditions
Brand/performance
Traditional division dissolving
Create full-funnel strategies balancing long-term equity with short-term conversion
Capability
Key features
Benefits
Performance data
Elevate forecasting tool
• Vertical-specific insights • Historical data from past economic turbulence • "Cascade planning" functionality • Real-time adaptation
• Provides agility to adjust campaign strategy based on performance • Shows which media channels work best to drive efficient and effective performance • Confident budget reallocation • Reduces reaction time to market shifts
• Dataset from 10,000+ campaigns • Cuts response time from weeks to minutes
• Reaches people most likely to buy • Avoids wasted impressions and budgets on poor-performing placements • Context-aligned messaging
• 25+ billion bid requests analyzed daily • 18% improvement in working media efficiency • 26% increase in engagement during recessions
Full-funnel accountability
• Links awareness campaigns to lower funnel outcomes • Tests if ads actually drive new business • Measures brand perception changes • "Ask Elevate" AI Chat Assistant
• Upper-funnel to outcome connection • Sentiment shift tracking • Personalized messaging • Helps balance immediate sales vs. long-term brand building
• Natural language data queries • True business impact measurement
Open Garden approach
• Cross-platform and channel planning • Not locked into specific platforms • Unified cross-platform reach • Shows exactly where money is spent
• Reduces complexity across channels • Performance-based ad placement • Rapid budget reallocation • Eliminates platform-specific commitments and provides platform-based optimization and agility
• Coverage across all inventory sources • Provides full visibility into spending • Avoids the inability to pivot across platform as you’re not in a singular platform
Fig. 1. How AI Digital helps during economic uncertainty.
Trend
What it means for marketers
Supply & demand lines are blurring
Platforms from Google (P-Max) to Microsoft are merging optimization and inventory in one opaque box. Expect more bundled “best available” media where the algorithm, not the trader, decides channel and publisher mix.
Walled gardens get taller
Microsoft’s O&O set now spans Bing, Xbox, Outlook, Edge and LinkedIn, which just launched revenue-sharing video programs to lure creators and ad dollars. (Business Insider)
Retail & commerce media shape strategy
Microsoft’s Curate lets retailers and data owners package first-party segments, an echo of Amazon’s and Walmart’s approaches. Agencies must master seller-defined audiences as well as buyer-side tactics.
AI oversight becomes critical
Closed AI bidding means fewer levers for traders. Independent verification, incrementality testing and commercial guardrails rise in importance.
Fig. 1. Platform trends and their implications.
Metric
Connected TV (CTV)
Linear TV
Video Completion Rate
94.5%
70%
Purchase Rate After Ad
23%
12%
Ad Attention Rate
57% (prefer CTV ads)
54.5%
Viewer Reach (U.S.)
85% of households
228 million viewers
Retail Media Trends 2025
Access Complete consumer behaviour analyses and competitor benchmarks.
Identify and categorize audience groups based on behaviors, preferences, and characteristics
Michaels Stores: Implemented a genAI platform that increased email personalization from 20% to 95%, leading to a 41% boost in SMS click through rates and a 25% increase in engagement.
Estée Lauder: Partnered with Google Cloud to leverage genAI technologies for real-time consumer feedback monitoring and analyzing consumer sentiment across various channels.
High
Medium
Automated ad campaigns
Automate ad creation, placement, and optimization across various platforms
Showmax: Partnered with AI firms toautomate ad creation and testing, reducing production time by 70% while streamlining their quality assurance process.
Headway: Employed AI tools for ad creation and optimization, boosting performance by 40% and reaching 3.3 billion impressions while incorporating AI-generated content in 20% of their paid campaigns.
High
High
Brand sentiment tracking
Monitor and analyze public opinion about a brand across multiple channels in real time
L’Oréal: Analyzed millions of online comments, images, and videos to identify potential product innovation opportunities, effectively tracking brand sentiment and consumer trends.
Kellogg Company: Used AI to scan trending recipes featuring cereal, leveraging this data to launch targeted social campaigns that capitalize on positive brand sentiment and culinary trends.
High
Low
Campaign strategy optimization
Analyze data to predict optimal campaign approaches, channels, and timing
DoorDash: Leveraged Google’s AI-powered Demand Gen tool, which boosted its conversion rate by 15 times and improved cost per action efficiency by 50% compared with previous campaigns.
Kitsch: Employed Meta’s Advantage+ shopping campaigns with AI-powered tools to optimize campaigns, identifying and delivering top-performing ads to high-value consumers.
High
High
Content strategy
Generate content ideas, predict performance, and optimize distribution strategies
JPMorgan Chase: Collaborated with Persado to develop LLMs for marketing copy, achieving up to 450% higher clickthrough rates compared with human-written ads in pilot tests.
Hotel Chocolat: Employed genAI for concept development and production of its Velvetiser TV ad, which earned the highest-ever System1 score for adomestic appliance commercial.
High
High
Personalization strategy development
Create tailored messaging and experiences for consumers at scale
Stitch Fix: Uses genAI to help stylists interpret customer feedback and provide product recommendations, effectively personalizing shopping experiences.
Instacart: Uses genAI to offer customers personalized recipes, mealplanning ideas, and shopping lists based on individual preferences and habits.
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Questions? We have answers
When should a brand invest in OEM advertising?
Brands should consider OEM advertising when traditional acquisition channels—such as paid social or search—become costly, saturated, or limited in incremental reach. OEM is particularly valuable when companies want to diversify their media mix and reach users earlier in the mobile discovery journey, such as during device setup or app exploration. It is most effective for businesses that depend on mobile user acquisition at scale, including retail apps, fintech platforms, gaming companies, and subscription services.
How does OEM advertising impact CAC and long-term retention?
OEM advertising can improve customer acquisition cost (CAC) efficiency by introducing a discovery layer that often faces less direct bidding competition than major advertising platforms. Because placements frequently appear during device onboarding or early exploration, users encounter the app before strong brand preferences are formed.
This early exposure can lead to higher-quality installs and stronger retention signals, especially when campaigns are optimized around cohort performance and lifetime value rather than install volume alone.
What industries benefit most from OEM advertising?
OEM campaigns tend to deliver the strongest results in industries where mobile engagement is central to revenue generation. Common high-performing sectors include:
- Retail and commerce apps
- Fintech and digital banking
- Mobile gaming
- Subscription platforms and streaming services
- Travel, mobility, and service apps
These categories benefit from reaching users during early device usage moments, when app selection decisions are still being formed.
How can brands measure performance and incrementality in OEM campaigns?
OEM performance is typically measured through mobile measurement partners (MMPs) that track installs, in-app events, and user engagement. Beyond basic install reporting, effective measurement frameworks often include: - Cohort-based retention analysis
- Customer acquisition cost (CAC) tracking
- Lifetime value (LTV) comparison across channels
- Incrementality testing using control groups or geo experiments
These approaches help determine whether OEM exposure generates true incremental growth rather than installs that would have occurred through other channels.
Is OEM advertising effective in privacy-first environments?
Yes. OEM ecosystems operate largely within manufacturer-controlled platforms and first-party device environments, which makes them naturally aligned with privacy-first advertising models. Because targeting and discovery occur within device-native ecosystems rather than through extensive cross-platform tracking, OEM campaigns are often less dependent on third-party identifiers than some traditional performance channels.
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