Which Targeting Option Is Best for Achieving Brand Awareness: Programmatic vs Google Ads
Mary Gabrielyan
March 16, 2026
13
minutes read
In 2026, marketers face a media environment where performance channels are increasingly saturated, global ad spend is on track to exceed $1 trillion—with digital accounting for the majority of that growth—yet consumer attention remains finite and deeply fragmented across platforms and formats, making memorability harder to achieve. At the same time, the volume of content and ads competing for that limited attention continues to rise, forcing brands to rethink reach strategies that go beyond short-term clicks. Against this backdrop, the core strategic dilemma is clear: should marketers lean on traditional ecosystem targeting like Google Ads, or harness broader, omnichannel programmatic advertising to secure scalable, meaningful brand reach?
In 2026, the question which targeting option is best for achieving brand awareness is no longer theoretical—it is a budget allocation decision that directly impacts reach efficiency, cost per thousand (CPM), and long-term brand lift. Global digital ad spend surpassed $600 billion in 2025, with more than 85% of display advertising transacted programmatically in mature markets. At the same time, Google’s advertising ecosystem continues to command the largest share of digital ad revenues globally, making Google Ads and programmatic advertising the two dominant infrastructures for scaling targeting for brand awareness.
At AI Digital, campaign audits across CTV, display, and omnichannel programmatic platforms show a consistent pattern: brands that treat awareness as a measurable performance layer—rather than just top-of-funnel reach—achieve stronger assisted conversions and lower blended acquisition costs over time. The real strategic question is not “Google Ads or programmatic?” but rather which targeting option aligns with your growth stage, audience strategy, and media buying maturity.
This article examines:
The strategic role of brand awareness in sustainable growth
How targeting works in Google Ads (Google Display Network & YouTube) vs. independent programmatic advertising platforms
Strengths and structural limitations of each model
When each targeting option performs best
How to combine both for maximum reach and incremental lift
What brand awareness really means
Brand awareness is fundamentally about recognition, memory structures, and future purchase preference—not merely accumulating impressions. At its core, awareness measures how well a target audience can recognize your brand and retrieve it from memory when a need arises. In marketing theory, brand awareness consists of two cognitive components: brand recall (the ability to spontaneously retrieve your brand from memory) and brand recognition (the ability to confirm familiarity when exposed to a brand cue such as a logo or message). Both components play distinct roles in the purchase decision process and in shaping brand equity over time.
Defining what brand awareness is helps clarify what it is not. Awareness is not “impressions for the sake of impressions.” It is about creating durable mental availability such that your brand surfaces in the consumer’s mind early in the journey—long before a performance or conversion campaign kicks in. True brand awareness embeds the brand into a consumer’s cognitive associative network, increasing the likelihood your brand enters their consideration set when they evaluate solutions.
To understand awareness in context, contrast it with other campaign types:
Brand Awareness Campaigns: Designed to build top-of-mind visibility and familiarity across broad or strategically segmented audiences. Typical metrics include ad recall lift, brand search lift, reach and frequency, and unaided recall. These campaigns set the foundation for all future demand generation.
Consideration Campaigns: Sit in the middle of the funnel, targeting users who know of the brand but have not yet formed a preference. They prioritize engagement metrics—clicks, video completions, content interactions—and begin transitioning attention into interest.
Performance Campaigns: Aim for measurable actions like conversions, form fills, or purchases. They rely on audiences that have already passed through awareness and often consideration phases. Their success is heavily contingent on brand salience and prior memory structures formed by awareness efforts.
💡In practical terms, awareness increases mental availability and trust—which subsequently lowers barriers as audiences move into consideration and performance stages. Without strong awareness on the front end, later funnel activity may deliver short-term transactions but at higher acquisition cost and lower incremental lift.
Why brand awareness matters more in 2026
As privacy regulations and platform changes erode third-party identifiers, marketers face diminishing addressable audiences. Modern digital advertising increasingly relies on privacy-safe identifiers and consent-based data models, forcing a pivot from hyper-targeted performance tactics toward broad, identity-safe exposure strategies that fuel awareness at scale.
This shift means that fewer signals are available to target individual intent deep in the funnel, making mental availability and familiarity established through awareness campaigns more critical for later performance metrics.
In 2026, the marketplace demands strategic brand awareness as both a defensive and offensive growth engine:
It counterbalances reduced addressability due to privacy constraints.
It mitigates rising acquisition costs across digital platforms.
It amplifies long-term customer loyalty and repeat purchase probability.
It enhances the efficiency and ROI of downstream performance activities.
Brand awareness is no longer a soft metric—it is a measured driver of competitive advantage and a prerequisite for scalable performance outcomes in a complex media landscape.
What makes a targeting option “best” for brand awareness?
When evaluating the best targeting option for achieving brand awareness, it’s essential to move beyond granular audience filters toward outcomes that deliver scalable, high-quality reach with measurable impact. Effective targeting for awareness balances scale, precision, and accountability—not just segment specificity. Modern media buyers define “best” targeting by how well it drives real mental availability and brand memory encoding across a defined population at efficient cost, while offering visibility into campaign impact beyond surface metrics like clicks or raw impressions.
Marketers who optimize across these signals—rather than chasing increasingly fine audience filters—tend to select options that deliver meaningful exposure plus measurable learning about campaign impact, which is critical for scaling awareness attribution and optimizing future spend.
Why choosing the right targeting option isn’t simple
Selecting the optimal targeting option for brand awareness involves navigating trade-offs rather than simply identifying the most precise segment or cheapest CPM. Every targeting ecosystem and algorithm prioritizes different subtleties of reach, control, automation, and transparency, which can pull performance in competing directions.
Scale vs. Control
Scale: Programmatic platforms access expansive open web inventory and cross-channel environments, enabling broad audience coverage and diverse contextual placements at scale.
Control: Walled gardens like Google Ads simplify setup and guarantee access to owned properties (YouTube, GDN) but impose constraints on where and how precisely you can control frequency, placement, and supply path transparency compared to a fully configured programmatic stack.
Balancing reach with the level of control needed to protect brand safety, avoid ad fatigue, and manage exposure pacing remains a core trade-off.
Automation vs. Transparency
Automated bidding and audience matching—whether algorithmic decisions inside Google’s systems or real-time bidding through a DSP—drive efficiencies by optimizing for predicted engagement. However, increased automation can come at the expense of visibility into which audience segments and specific placements are truly driving impact. Black-box approaches (e.g., automated placements in some Google Ads campaign types) boost scale and simplicity but reduce contextual insights and granular audience breakdowns.
In contrast, programmatic platforms offer higher transparency into supply paths, publisher domains, and line-item performance, enabling sophisticated frequency and quality controls but adding operational complexity.
Audience Targeting vs. Inventory Quality
Highly refined audience segments can shrink your effective reach and limit brand exposure to only a subset of potential buyers, potentially reducing incremental reach. Conversely, buying for broad contextual reach may increase gross impressions but dilute relevance if not aligned with strategic audience signals. The optimal solution often integrates both—broad reach for memory encoding and refined layers for strategic exclusion or prioritization—while controlling for inventory quality, viewability, and brand safety.
Platform Optimization Differences
Different ecosystems optimize for different objectives:
Google’s algorithms prioritize outcomes within its own properties, often weighting existing search and video signals heavily, which can benefit brands in awareness and consideration domains.
Open programmatic auctions dynamically weigh cost, audience signals, contextual data layers, and real-time supply changes across disparate publisher domains, delivering a different balance of reach diversity and contextual relevance.
Understanding these architectural differences—and how they affect delivery, measurement, and optimization—is central to making the right targeting decision.
The right targeting option is context-dependent: it must align with your strategic emphasis on reach, measurement sophistication, data transparency, and operational resources. Rather than defaulting to the most granular audience filter or cheapest inventory, modern marketers evaluate targeting through the lens of incremental exposure quality and measurable brand impact.
Google Ads targeting for brand awareness: how it works
Google Ads is one of the most powerful ecosystems for targeting for brand awareness, built primarily around YouTube and the Google Display Network (GDN). Its structural advantage lies in two elements:
Massive scale across owned and partner inventory
Proprietary first-party user data from search, YouTube consumption, browsing behavior, Android, and logged-in environments
Globally, YouTube reaches over 2.5 billion logged-in monthly users (Alphabet earnings reports), and the Google Display Network extends across millions of websites and apps. For marketers evaluating which targeting option is best for achieving brand awareness, Google’s ecosystem offers immediate access to large, addressable audiences with algorithmic optimization layered on top.
💡However, Google remains a closed environment. While its internal scale is enormous, omnichannel expansion (CTV beyond YouTube, premium publisher supply outside GDN, retail media, audio) is less flexible compared to open programmatic platforms. This structural characteristic shapes both its strengths and its limitations.
Google Display Network (GDN)
The Google Display Network (GDN) functions as Google’s large-scale display layer, distributing banner and rich media ads across websites, apps, and placements connected to Google’s inventory partnerships.
For brand awareness, GDN is typically optimized toward maximum reach with frequency controls, rather than click-driven performance
GDN works particularly well for early-stage awareness campaigns seeking fast reach expansion within controlled budgets.
YouTube Ads
YouTube is the most impactful component of Google’s awareness infrastructure.
YouTube Ads deliver high-impact brand awareness through video storytelling, combining reach, sound, motion, and attention. Video remains one of the strongest formats for memory encoding and brand recall, particularly in upper-funnel strategies.
Available formats include:
Skippable in-stream ads
Non-skippable in-stream ads
In-feed video ads
Shorts ads
YouTube TV placements
Skippable ads allow cost-efficient scale, while non-skippable formats maximize guaranteed exposure duration—useful for message retention. YouTube also provides brand lift studies, measuring ad recall, brand consideration, and purchase intent shifts post-exposure.
⚡️For marketers expanding into connected TV environments, YouTube TV placements extend awareness beyond desktop and mobile into living room screens. For deeper insight into this channel, see Youtube TV Ads.
Strengths for brand awareness:
Emotional storytelling via video
High average watch time relative to display
Strong reach across demographic cohorts
Measurable brand lift options
Integration with Google’s audience signals
YouTube is often the strongest single-channel answer to the question of which targeting option is best for achieving brand awareness when video is central to the strategy.
Google Search: why it’s a support layer, not the core awareness channel
Google Search is fundamentally a demand-capture channel, not a demand-creation engine. Users on Search are already expressing intent through queries. That makes it one of the most efficient performance channels in digital advertising—but structurally less suitable for large-scale brand awareness generation.
Brand awareness campaigns aim to reach users before they demonstrate active intent. Search, by contrast, activates only when intent already exists.
From a strategic standpoint, Google Search plays three supporting roles in awareness strategies
However, Search does not provide scalable passive reach across broad audiences. It cannot introduce a brand to users who are not actively searching. For that reason, when evaluating which targeting option is best for achieving brand awareness, Google Search should be viewed as a complementary validation and capture layer—not the primary awareness driver.
Key Advantages of Google Ads for Awareness
Google Ads offers structural advantages that make it one of the strongest ecosystems for targeting for brand awareness:
Massive Scale Within a Unified Ecosystem: YouTube and Google Display together provide access to billions of users globally, enabling rapid reach expansion.
Proprietary First-Party Data Signals: Google leverages logged-in behavioral signals across Search, YouTube, Android, and browsing environments. This improves audience modeling accuracy compared to purely contextual buys.
Integrated Video Dominance via YouTube: Video remains one of the most effective formats for memory encoding and brand recall. YouTube combines visual storytelling with measurable brand lift studies.
Native Brand Lift Measurement Tools: Advertisers can run Google Brand Lift studies to measure ad recall, consideration, and purchase intent shifts.
Operational Simplicity: Campaign setup, reporting, and optimization occur inside one platform interface, making it accessible for mid-market advertisers without complex programmatic infrastructure.
Algorithmic Optimization for Efficient Reach: Machine learning systems optimize delivery toward predicted engagement and viewable impressions, helping improve effective CPM efficiency.
For brands seeking fast deployment, measurable exposure, and simplified management, Google Ads is often considered the best targeting option for achieving brand awareness at mid-scale budgets.
Key Limitations of Google Ads for Awareness
Despite its scale and infrastructure strength, Google Ads operates within structural constraints
For marketers evaluating which targeting option is best for achieving brand awareness, Google Ads delivers scale and simplicity but may require complementary programmatic activation to achieve diversified omnichannel reach and advanced transparency.
Programmatic advertising targeting for brand awareness: how it works
Programmatic advertising refers to the automated process of buying and selling digital ad inventory using software, real-time data, and algorithmic decision-making rather than manual negotiations and insertion orders. It has become the dominant method for media buying across most digital formats because it increases speed, precision, and scale while reducing manual workload.
At the core of programmatic media buying is Real-Time Bidding (RTB)—an instantaneous auction process where each available ad impression is evaluated and competed for by demand-side platforms (DSPs) in milliseconds as a user’s page, app, or video loads. The highest bidder wins the opportunity to show their ad based on predefined audience, contextual, or placement criteria.
Programmatic’s automation and data-driven decision framework allow brands to execute highly scalable awareness campaigns that reach audiences beyond a single ecosystem:
Open web inventory: Display and video placements across millions of sites and apps
Premium publishers: Curated environments of authoritative brands and content properties
Connected TV (CTV): Addressable video inventory on streaming platforms and smart TVs
Digital Out-Of-Home (DOOH): Dynamic screens in public spaces with programmatic activation
Audio & emerging formats: Streaming audio and interactive placements through programmatic channels
This breadth contrasts with walled garden environments by enabling unified delivery across multiple screens, formats, and contexts, making programmatic a powerful option for targeting for brand awareness at scale.
💡Programmatic’s flexibility is anchored in the way it processes data inputs—from first-party audiences to contextual signals and device behaviors—to optimize bids and placements in real time. For brands seeking to deepen reach and frequency across environments and mediums, this orchestration across channels drives measurable awareness outcomes and can be tuned toward incremental reach, frequency pacing, and quality inventory engagement.
⚡️For an expert primer on the fundamentals of this ecosystem, including deeper discussion of
programmatic methods and market implications, see AI Digital’s overview, Programmatic Advertising. For a detailed look at real-time auction dynamics and how RTB functions within programmatic infrastructure, see Real-Time Bidding.
The main targeting options in programmatic advertising
In programmatic advertising, targeting is not a single switch—it is a layered control system combining audience signals, contextual relevance, inventory selection, and delivery optimization. This multi-layer architecture is what makes programmatic particularly strong for targeting for brand awareness at scale while maintaining measurable control.
Benefits of programmatic advertising for awareness
Programmatic advertising offers several structural advantages when evaluating which targeting option is best for achieving brand awareness:
Omnichannel Reach: Access to open web, premium publishers, CTV, digital audio, mobile apps, and DOOH from one buying infrastructure.
Cross-Environment Frequency Control: More advanced reach management compared to walled gardens.
Incremental Reach Beyond Closed Ecosystems: Programmatic extends awareness beyond Google, Meta, and other proprietary platforms.
Inventory Transparency: Advertisers can analyze domains, placements, supply paths, and viewability metrics.
Flexible Data Integration: First-party CRM data, contextual AI signals, retail data partnerships, and clean-room integrations can be layered into awareness strategies.
For mid-to-enterprise brands, programmatic often becomes the best targeting option for achieving brand awareness when omnichannel expansion and data transparency are priorities.
Risks and limitations of programmatic targeting
Programmatic targeting for brand awareness provides unmatched structural flexibility and cross-channel reach. However, its effectiveness depends on strategic orchestration, disciplined frequency management, and strong measurement frameworks.
💡For brands asking which targeting option is best for achieving brand awareness, programmatic delivers scale plus control—but only when executed with expertise and clearly defined awareness KPIs.
Google Ads vs Programmatic
Selecting the right targeting option for achieving brand awareness is foundational to effective media planning. While both Google Ads and programmatic advertising can drive awareness, they differ strategically in reach, control, transparency, and contextual delivery. Understanding where each excels—and where they complement each other—helps marketers maximize reach, engagement, and measurable impact across digital platforms.
When Google Ads is the best awareness option
Google Ads is often the most efficient awareness option when you need rapid scale within a unified ecosystem and access to proprietary user intent data. Its strengths include:
Broad built-in reach across YouTube and the Google Display Network, giving you exposure within a familiar, trusted environment.
Proprietary first-party behavioral signals and demographic data that improve audience modeling and contextual relevance.
Integrated brand lift measurement tools that allow direct insights into recall, consideration, and interest shifts after exposure on video and display.
Simplified activation and optimization workflows ideal for mid-market teams or campaigns with limited operational resources.
This combination makes Google Ads particularly effective when your awareness strategy prioritizes quick deployment, video storytelling (via YouTube), and accessible measurement tools. It tends to be strongest when audiences are already within Google’s behavioral footprint or when awareness is tightly tied to search-related memory cues that feed into later performance layers.
When programmatic is the best awareness option
Programmatic advertising becomes the preferred choice when marketers need true omnichannel reach, deeper transparency, and flexible audience orchestration beyond a single ecosystem. It is especially valuable for brand awareness strategies that require:
Cross-platform reach across the open web—including premium publisher sites, connected TV (CTV), digital audio, and other streaming environments.
Advanced targeting and data layer integration, combining first-party, contextual, and third-party signals for broader and more nuanced audience coverage.
Inventory transparency and supply-path control, enabling placement decisions that align with brand safety and quality standards.
Unified frequency and reach management across channels, reducing audience overlap and optimizing incremental exposure.
Because programmatic platforms (like DV360, The Trade Desk, and others) tap into rich data environments and expansive inventory, they excel when awareness needs wide net reach, access to premium screens (CTV/DOOH), and finely tuned exposure pacing that extends beyond what a closed ecosystem can offer.
Combining Google Ads + programmatic
In practice, the most effective targeting strategy for brand awareness often blends both Google Ads and programmatic advertising to leverage their complementary strengths across the marketing funnel:
YouTube (Google Ads) for Broad Awareness Storytelling
Use YouTube and GDN for impactful storytelling and broad, emotionally resonant reach within Google’s vast audience pool. Its video formats and integrated brand lift tools make it strong for establishing cognitive salience early.
Programmatic for Incremental Reach Across Premium Inventory and CTV/DOOH
Deploy programmatic buys across the open web to capture audiences beyond Google’s ecosystem. This includes premium display, contextual environments, CTV placements, audio, and digital out-of-home, expanding reach and reinforcing brand narratives across screens.
Search and Retargeting to Capture Demand Later
Once awareness begins to drive branded and category search volume, integrate Google Search and retargeting layers to capture that interest as intent—closing the loop from broad exposure to actionable engagement.
This hybrid design ensures that brand awareness campaigns achieve both scale and strategic depth, improving incremental reach metrics and building a durable memory structure that supports downstream performance campaigns.
How to choose the right targeting strategy
Choosing which targeting option is best for achieving brand awareness requires more than platform comparison. It requires strategic alignment between business maturity, budget scale, industry dynamics, and measurement infrastructure.
At AI Digital, awareness strategy is treated as a growth lever—not a visibility exercise. Based on cross-channel campaign audits across CTV, display, and omnichannel programmatic environments, one pattern consistently emerges: brands that align targeting logic with structural business realities outperform those that select platforms based on habit or trend.
Below is a structured framework used in advanced media planning.
By business stage
Targeting strategies must evolve with business maturity.
By budget and campaign scale
Budget determines architectural complexity.
By Industry and Sales Cycle
Industry structure directly influences targeting logic.
Conclusion: Drive lasting brand awareness with the right targeting
Determining which targeting option is best for achieving brand awareness is not about choosing a single platform—it is about architecting a strategy that balances scale, control, transparency, and measurable impact.
Google Ads delivers powerful reach within a unified ecosystem, particularly through YouTube and Google Display, supported by proprietary data and integrated brand lift measurement. Programmatic advertising, by contrast, expands awareness beyond closed
environments—unlocking omnichannel inventory across premium publishers, CTV, digital audio, and DOOH with deeper frequency management and incremental reach control.
For most growth-oriented brands, the strongest answer to which targeting option is best for achieving brand awareness is a strategic combination:
Use YouTube for high-impact storytelling and broad cognitive reach.
Deploy programmatic to extend incremental reach across premium and cross-screen environments.
Integrate Search and retargeting to capture demand generated by awareness activity.
💡When structured correctly, targeting for brand awareness becomes measurable and compounding. It increases branded search volume, improves performance campaign efficiency, lowers long-term acquisition costs, and strengthens category positioning.
At AI Digital, awareness is treated as a performance multiplier—not a vanity metric. The right targeting architecture transforms exposure into sustained mental availability and tangible business growth.
If you’re evaluating the best targeting option for achieving brand awareness for your brand, our team can help you design a scalable, omnichannel strategy aligned with your growth stage and market dynamics.
⚡ ️Learn more or speak with our experts, get in touch.
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
What is the difference between Google Ads and programmatic advertising?
Google Ads operates primarily within Google-owned and partner inventory (YouTube, Google Display Network, Search), using proprietary first-party data and algorithmic optimization inside a closed ecosystem.
Programmatic advertising uses demand-side platforms (DSPs) to buy inventory across the open web, premium publishers, CTV, digital audio, and DOOH through real-time bidding (RTB).
In short:
- Google Ads = large-scale reach within one ecosystem.
- Programmatic = cross-channel reach across multiple ecosystems.
For marketers evaluating which targeting option is best for achieving brand awareness, the difference lies in ecosystem breadth, transparency, and omnichannel flexibility.
Which targeting option is best for startups vs enterprise brands?
Startups and challengers typically benefit from scalable, cost-efficient reach—often through YouTube or Google Display—because they need rapid visibility with manageable complexity.
Enterprise brands often require omnichannel orchestration, advanced frequency control, and premium publisher access. In these cases, programmatic advertising (or a hybrid approach) is usually more appropriate.
The best targeting option for achieving brand awareness depends on growth stage, budget, and operational maturity—not just platform preference.
How do programmatic ads reach audiences beyond Google inventory?
Programmatic platforms connect to multiple ad exchanges and supply-side platforms (SSPs). Through real-time bidding, advertisers can access:
- Open web display and video
- Premium publisher marketplaces
- Connected TV (CTV) environments
- Streaming audio
- Digital out-of-home (DOOH)
This infrastructure enables brands to extend targeting for brand awareness beyond Google-owned properties and diversify reach across screens and environments.
Can social media support brand awareness campaigns effectively?
Yes. Social media platforms (e.g., Meta, TikTok, LinkedIn) are strong for awareness due to high daily engagement and advanced audience targeting capabilities.
However, social platforms function as separate ecosystems. For large-scale awareness strategies, social media is often integrated alongside Google Ads and programmatic rather than used in isolation.
For brands asking which targeting option is best for achieving brand awareness, social is typically part of a broader multi-channel mix.
How should budget influence targeting strategy?
Budget determines structural complexity:
- Small budgets: Focus on concentrated, cost-efficient reach within one primary channel.
- Mid-scale budgets: Combine Google Ads with programmatic for incremental reach.
- Enterprise budgets: Deploy omnichannel awareness with cross-market orchestration and advanced measurement.
Fragmentation across too many channels without sufficient budget reduces effective frequency and awareness impact.
What are the best metrics for measuring brand awareness success?
Effective awareness measurement goes beyond impressions. Key signals include:
- Incremental reach
- Effective frequency
- Viewability and attention metrics
- Brand lift (ad recall, consideration, favorability)
- Branded search lift
- Share of voice
Targeting for brand awareness is effective when exposure translates into measurable memory and search behavior shifts.
Can combining Google Ads and programmatic improve campaign results?
Yes. A hybrid approach often delivers superior outcomes:
- YouTube for broad video storytelling
- Programmatic for incremental reach across premium and CTV inventory
- Search and retargeting to capture demand generated by awareness Combining platforms improves cross-environment coverage, reduces audience overlap, and strengthens frequency control—often making it the most effective answer to which targeting option is best for achieving brand awareness.
Have other questions?
If you have more questions, contact us so we can help.
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