Performance Marketing vs Brand Marketing: Key Differences and Strategic Implications
April 3, 2026
15
minutes read
Performance marketing vs brand marketing is still one of the most common tensions in modern advertising. Both exist to drive growth, but they do it in different ways. This article looks past the surface-level debate and focuses on the strategic choices marketing leaders have to make when growth, efficiency, and accountability all matter at once.
The pressure behind the brand vs performance marketing debate is easy to understand. Revenue targets are immediate. Boards want proof. Finance teams want efficiency. Digital platforms keep improving real-time reporting, automated bidding, and optimization, which makes performance activity easier to defend in the room where budgets get signed off. In IAB’s 2025 Outlook Study, CTV, social, search, and display were projected to account for nearly 70% of ad spend in 2025—an indication of how strongly advertisers are concentrating around channels that promise both addressability and measurability. At the same time, IAB projected U.S. digital video ad spend to reach $72 billion in 2025 after growing 18% year over year to $64 billion in 2024.
That does not mean brand marketing has become less important. It means the easier something is to measure, the easier it is to overvalue. IAB found that among buyers planning 2025 media investments, 24% were increasing performance advertising, 22% were increasing brand advertising, and 54% expected no change. Among those shifting toward performance, the biggest drivers included pressure to demonstrate ROI, business strategy changes, prior campaign performance, and advances in personalization technology.
The result is a very specific executive problem. Performance marketing is extremely good at converting existing intent. Brand marketing is what helps make more of that intent exist in the first place. When companies over-rely on one and underfund the other, they often end up with reporting that looks tidy in the short term and growth that becomes more expensive over time. Nielsen warns that marketers often prioritize channels they perceive as more measurable, even when that measurability does not reliably reflect true effectiveness.
So this is not a simple “which one is better?” article. The real question is how to think about brand building vs performance marketing as a system. The companies that scale more sustainably are usually not the ones choosing sides. They are the ones deciding, with discipline, what each dollar is supposed to do.
⚡ Performance is easy to defend because it reports quickly. That does not make it sufficient. Growth gets harder when the measurable part of the system is asked to do the invisible part too.
What is performance marketing?
Performance marketing is outcome-driven advertising built around measurable actions. Those actions can be clicks, leads, app installs, purchases, subscriptions, store visits, qualified pipeline, or revenue. The point is not merely that something happened. The point is that the marketer can usually point to a defined action, assign a cost to it, compare that cost to a target, and optimize from there.
💡 That is why performance marketing has become so dominant. It offers an answer to one of the hardest questions in marketing: what did this spend actually do? A good performance marketing strategy makes that answer clearer, faster, and more operationally useful.
Core objectives
The main job of performance marketing is to capture existing demand efficiently. It is strongest when people already have some degree of intent and need a reason, reminder, or route to convert.
That sounds simple, but it matters. Performance marketing is not primarily designed to make a cold market care about you from scratch. It is designed to move people who are already somewhere along the path from awareness to action. Sometimes that intent is explicit, as in a search query. Sometimes it is modeled, as in paid social, programmatic, or retail media environments where data signals suggest a person is close to purchase.
In practice, performance marketing usually tries to do four things:
Turn existing interest into an action.
Reduce waste by targeting people more likely to convert.
Improve efficiency through continual optimization.
Make budget decisions easier by connecting spend to outcomes.
This is why performance is so attractive in periods of margin pressure or executive scrutiny. It gives leaders a way to say, “We spent X, acquired Y, and improved Z.” That accountability is real value, not marketing fashion.
Measurement and KPIs
Performance marketing lives or dies by measurement. The most common KPIs include ROAS, CPA, CTR, CPC, conversion rate, conversion value, and incrementality. Each does a different job.
ROAS tells you how much revenue came back relative to media spend.
CPA tells you what an acquisition cost.
CTR and CPC help diagnose response and traffic efficiency.
Conversion rate tells you how well traffic is turning into action. Incrementality asks the most important question of all: would this result have happened anyway?
That last point is where performance marketers need to be careful. A metric can look precise and still be misleading. A platform can claim credit for a conversion without proving it caused the conversion. That is why better performance programs increasingly combine platform reporting with lift studies, holdouts, and broader measurement tools. Google describes Conversion Lift as a way to measure the incremental number of conversions, site visits, and other actions directly driven by an ad. Google also introduced Meridian Scenario Planner in 2025 to help marketers model future investments across online, offline, and TV within a modern marketing mix modeling framework.
⚡ A dashboard can tell you what happened. It cannot always tell you why it happened. That gap is where weak attribution starts to look like strong strategy.
A useful rule here is simple: performance metrics are essential, but not all performance metrics are equally diagnostic. CTR can be interesting. CPA can be useful. Incrementality is closer to the truth.
💡 This is where a strong digital marketing KPI framework matters. A KPI is not just a number on a dashboard. It is a decision rule. If it cannot guide a budget, creative, audience, or bidding choice, it is only reporting.
Channels and execution
Performance strategies run across search, paid social, affiliate, programmatic, retail media, and increasingly CTV. These channels vary in how “direct response” they feel, but they share a common logic: target, test, optimize, repeat.
Search remains a classic performance environment because intent is explicit. Google said at Marketing Live 2025 that people conduct more than 5 trillion searches a year on Google, which helps explain why search remains such a powerful demand-capture tool.
Paid social can capture intent differently. It often works by combining creative, audience signals, first-party data, and algorithmic optimization to find likely converters before they actively search. Programmatic extends this logic across display, video, audio, and connected environments. Retail media adds commerce data and closed-loop measurement. In IAB’s 2025 Outlook Study, retail media was projected to be the fastest-growing channel in 2025 at +15.6% year over year, even as its growth rate slowed from the prior year due to fragmentation, standardization issues, and rising costs.
CTV now belongs in this conversation too. It is often described as a brand channel, and it can absolutely play that role, but it is also increasingly used for outcome-oriented planning because it combines premium video reach with better audience targeting and stronger measurement than traditional TV alone. That is part of the reason digital video spend keeps rising so quickly in the U.S.
What is brand marketing?
Brand marketing is long-term demand creation. Its job is to shape how a company is remembered, trusted, preferred, and chosen over time. If performance marketing is usually trying to get action now, brand marketing is trying to improve the odds of future action later.
That is why brand marketing is often misunderstood. Its effects can be indirect. Its time horizon is longer. Its measurement model is broader. But that does not make it vague. It makes it foundational.
A brand is not just a visual identity or a tone of voice. In practical terms, it is the set of associations that make a buyer more likely to choose you, search for you, trust you, and pay attention to you when a buying moment arrives.
Core objectives
The core objectives of brand marketing are to build:
mental availability—being remembered in buying situations,
emotional connection—being felt, not just noticed,
trust and credibility—reducing perceived risk,
category authority—earning a clear place in the market,
distinctiveness—making it easier to recognize and recall you.
These outcomes matter because most markets are not made up entirely of people ready to buy today. A large share of the audience is out of market right now. Brand marketing makes future conversions easier by making the brand more familiar and more believable before the moment of decision arrives.
That is why strong brand marketing often feels “inefficient” if you judge it with a short-term click lens. It is doing a different job.
Brand measurement models
Brand marketing is measurable, but its metrics are different. Instead of asking only, “Who clicked and bought?” brand measurement asks questions such as:
Did awareness rise?
Did search activity increase?
Did the audience remember the brand?
Did preference, consideration, or sentiment improve?
Did the campaign increase future revenue potential?
These are not vanity measures when used correctly. They are signals of whether the brand is becoming easier to choose.
⚡ Brand is not “unmeasurable.” It is simply measured on a wider horizon, with different signals, and with more patience.
Modern brand measurement often combines brand awareness studies, share of voice, search lift, branded search trends, site direct traffic, sentiment analysis, category consideration, and longer-term revenue modeling. Google’s 2025 updates are revealing here: the company introduced attributed branded searches as a way to quantify how many users search for a brand after seeing video ads, explicitly tying brand impact to later search behavior across Google and YouTube.
The significance lies in closing part of the gap between brand activity and business proof. Brand marketing and performance marketing remain distinct disciplines—and should. But measurement is clearly moving toward a fuller view of influence.
💡 This is also why a modern CTV measurement approach cannot stop at completed views or reach curves. If a brand campaign lifts search, improves direct traffic, strengthens assisted conversion rates, or raises future conversion efficiency, that matters.
Channels and storytelling formats
Brand marketing usually works best in channels and formats that give a company enough room to tell a story, express a point of view, or build recognition at scale. That includes CTV, digital video, online audio, native, sponsorships, creator partnerships, premium display, and high-impact homepage or takeover formats.
CTV has become especially important because it combines premium-screen attention with more flexible targeting and better measurement options than classic linear-only buying. Nielsen reported that streaming represented 44.8% of all U.S. TV viewership in May 2025 (as of January 2026—47%), marking the first time streaming exceeded the combined share of broadcast and cable and underscoring how central connected viewing now is to both reach and audience planning.
Retail media can support brand marketing too. Nielsen’s 2025 work on retail media noted that, outside retail and technology, many industries are using retail media networks for top-funnel goals, not just low-funnel conversions. That is a useful reminder that channel labels can become misleading. A so-called performance environment can still do brand work when the creative and planning logic are designed for it.
💡 A thoughtful connected TV advertising plan, for example, can build memory, search interest, and future efficiency all at once. The same is true of premium video, sponsorships, and creator-led storytelling when they are built around brand codes and consistent narrative rather than only product claims.
Performance vs brand marketing: key differences
The simplest way to understand performance marketing vs brand marketing is to stop treating them as rival philosophies and start treating them as different growth functions.
Performance is usually trying to improve immediate efficiency. Brand is usually trying to improve future preference and future efficiency.
That difference affects everything else: creative choices, measurement expectations, budget planning, patience, and risk tolerance.
Time horizon and growth impact
Performance marketing usually works on short feedback loops. You launch, measure, optimize, and scale or pull back. That makes it excellent for immediate revenue goals, promotional pushes, and high-intent demand capture.
Brand marketing works on a longer clock. It shapes how large and how receptive the future buyer pool becomes. Its impact can show up through stronger branded search, higher conversion rates, better retention, improved pricing power, and lower friction later on.
This is where the trade-off becomes visible. If a company keeps asking performance marketing to do all the work, it often starts harvesting demand faster than it replenishes it. Nielsen states that a brand loses an average of 2% of future revenue for every quarter it stops advertising, and that a 1-point gain in brand metrics can drive a 1% increase in sales. That is a striking reminder that brand health is not separate from commercial performance.
The long-term sales impact of media investment (Source).
So the time-horizon difference is not just philosophical. It is financial.
⚡ Short-term efficiency can look brilliant right up to the moment it starts shrinking the future buyer pool. That is the trap.
Attribution and measurement expectations
Performance marketers are often used to a world where every campaign needs a direct line to a defined outcome. That is reasonable, but it can create problems when attribution models are too narrow.
Brand effects are often distributed. A CTV exposure may lead to a branded search days later. A creator partnership may improve conversion rates in paid social. A sponsorship may make search traffic more qualified. A video campaign may not close the sale itself, but it may make every later touchpoint work harder.
This is why broader measurement is necessary. Google’s 2025 measurement updates—such as attributed branded searches and Meridian’s scenario modeling—point toward a more integrated view of how channels influence each other.
There is also a warning here. System1, citing research from Analytic Partners, says last-click attribution can overestimate paid search impact by 190% while underplaying the impact of brand-led TV advertising by 90%. Whether or not those exact percentages will hold in every category, the strategic lesson is solid: narrow attribution models can push leaders toward the wrong budget conclusions.
IAB’s 2025 Outlook Study supports the same concern from a different angle. It found that executing cross-channel media measurement and managing reach and frequency remained the most-cited media investment concerns in 2025. That tells you the industry already knows the problem is not merely getting data. It is getting the right kind of data across the full system.
Top 10 concerns for media investments YoY (Source)
💡 This is where a more mature multi-touch attribution discussion has to begin. The question is not whether a touchpoint can claim credit. It is whether the measurement model reflects how buyers actually move.
Budget allocation logic
Performance often gets more money because it feels safer. It produces numbers fast. It fits weekly reporting cycles. It can be paused and scaled with apparent precision. When teams are under pressure, that is attractive.
2025 share of spend on performance vs. brand advertising. (Source)
But comfort is not the same as strategy.
IAB’s 2025 data shows the pattern clearly. More buyers were increasing performance ads than brand ads, and among those shifting toward performance, pressure to demonstrate ROI was the top driver. That is understandable. It is also how budget allocation can become distorted.
The budget context matters too. The 2025 CMO Survey found that marketing expenses accounted for an average of 11.39% of company budget and 9.35% of company revenues among respondents. In other words, the pool is finite. Every extra dollar pushed into short-term capture comes from somewhere else.
That does not mean every brand should immediately rebalance toward upper funnel. It means leaders should know what they are trading away when they do not.
Factors driving shift to performance advertising. (Source)
Demand creation vs demand capture
This is the clearest framework for thinking about brand marketing vs performance marketing.
The distinction carries real weight. Performance channels are built to find and convert people already near a decision—not to generate interest from scratch. A growth model that relies exclusively on capturing existing demand rests on an assumption: that the market will continue feeding the funnel unaided.
That assumption holds until it doesn't.
A more useful way to think about demand creation and demand capture looks like this:
Demand creation expands the pool of future buyers by building memory, familiarity, trust, and preference.
Demand capture converts the portion of that pool that is in market now.
Growth happens most reliably when the first function keeps feeding the second.
This is why the brand vs performance marketing argument so often becomes unhelpful. It invites a false choice. Demand capture without demand creation becomes more expensive. Demand creation without demand capture can become too diffuse. Sustainable growth depends on both mechanisms working together.
⚡ If performance is the harvest, brand is the growing season. One gives you this quarter’s yield. The other decides whether next quarter has anything left to pick.
Brand marketing is often framed as the soft side of the house. That framing misses the point. Brand investment is not the opposite of performance. It is one of the things that improves performance.
Maximize ROI by balancing brand and performance (Source)
There are at least four reasons why.
First, awareness increases the odds of being considered at all. A search ad is more likely to get clicked when the brand is familiar. A paid social ad is more likely to be trusted when the name already means something. A retail media placement is more likely to convert when the shopper recognizes the seller.
Second, brand reduces friction. Buyers do not evaluate every option from scratch. They use shortcuts. Familiarity, distinctiveness, and trust work as shortcuts.
Third, brand lifts the efficiency of later channels. This is where marketers often see better branded search, stronger site engagement, improved conversion rates, and lower acquisition costs after consistent upper-funnel investment.
Fourth, brand improves customer quality over time. Stronger brands often retain better, cross-sell better, and defend margins better because customers are not making every decision on price alone.
Nielsen’s 2025 marketing work is especially useful here. It notes that half of marketers prioritize revenue growth, while only 45% prioritize brand awareness, even though underinvestment in brand equity can hurt long-term growth. The same source argues that ease of measurement does not necessarily equal effectiveness and warns that over-favoring more easily attributed digital channels can lead to distorted media planning.
System1’s 2025 analysis adds another layer. After analyzing more than 41,000 U.S. ads, it concluded that much of the above-average performance-led creative does not effectively build mental availability. In other words, activation-style work often does not do much for the many people who are not ready to buy today.
Benefits of combining both performance and brand marketing (Source)
That does not make performance marketing weak. It just clarifies its limits. When awareness, trust, and memory are stronger, performance has a larger and warmer audience to convert. That is why recent CTV advertising trends matter beyond video alone—they speak to how brand-led reach and measurable outcome planning are starting to operate in the same system.
When performance marketing should lead
There are absolutely situations where performance marketing should lead.
It should usually lead when:
The business is under short-term profitability pressure.
You are running a seasonal or promotional push with a clear conversion window.
The category is high-intent and search-driven.
Inventory, pricing, or local demand conditions require fast adjustment.
The company needs proof of traction before expanding broader brand investment.
In those moments, performance discipline is not optional. You need clear targets, tight creative-testing loops, careful audience segmentation, and rigorous budget governance.
The broader market context supports that. As mentioned, IAB found that performance momentum in 2025 was being driven by pressure to prove ROI, shifts in business strategy, previous campaign performance, and advances in personalization technology.
Google’s 2025 updates also show why performance-first planning can be powerful when used appropriately. Google says advertisers who activate AI Max in Search campaigns typically see 14% more conversions or conversion value at a similar CPA/ROAS, with a higher typical uplift for campaigns still heavily reliant on exact and phrase match. Google also says advertisers switching from target CPA to target ROAS can see 14% more conversion value at a similar return on ad spend.
That is real operational value. But it should be read correctly. These are reasons to let performance lead in specific circumstances, not reasons to let performance become the entire growth philosophy.
A performance-first phase can be smart. A performance-only worldview usually is not.
The most durable answer to performance marketing vs brand marketing is not balance in the abstract. It is coordination in practice.
A unified model means brand and performance are planned as parts of the same system rather than funded, measured, and judged as if they live in separate businesses.
⚡ The strongest plans do not ask brand to justify itself like performance, or performance to behave like brand. They ask both to do their own jobs—inside one growth model.
A workable version of that model usually has five parts.
Set separate jobs for separate dollars
Do not ask every campaign to do everything at once. Some budget should be assigned to demand creation. Some should be assigned to demand capture. Some should sit in the overlap, especially in channels like CTV, paid social, retail media, and YouTube where storytelling and action can reinforce each other.
Build one audience and one creative logic
Your brand work and performance work should feel related. The audience signals may differ. The messaging depth may differ. The CTA certainly may differ. But the assets, codes, memory structures, and promise should connect. If the brand campaign and the conversion campaign feel like they come from different companies, the system is weaker than it should be.
Measure on two clocks
One clock is short-term: conversions, CPA, ROAS, revenue, lead quality. The other is longer-term: awareness, branded search, direct traffic, consideration, conversion-rate lift, retention, and revenue contribution over time.
This is where modern tooling matters. Meridian, lift studies, branded search measurement, and other newer methods are useful precisely because they help leaders connect upper-funnel influence with lower-funnel results.
Use channel roles, not channel stereotypes
Search will usually capture demand. CTV will often build demand. But those are tendencies, not laws. Retail media can do brand work. Video can drive performance. Paid social can do both. The question is not what the channel is called. The question is what role it is playing in the plan.
Review efficiency in context
A lower CPA is not automatically better if it comes from shrinking the future buyer pool. A higher CPM is not automatically wasteful if it improves brand memory and later conversion efficiency. Good planning reviews the system, not just the latest line item.
This is also where the next strategic question begins: Which targeting option is best for achieving brand awareness? The right answer is usually not about allegiance to one platform. It is about matching audience, creative, measurement, and business objective.
Key takeaways for marketing leaders
The central lesson is straightforward. Sustainable growth rarely comes from choosing brand or performance in isolation. It comes from deciding what each is there to do.
A few principles are worth keeping close:
Performance marketing is excellent at capturing demand, but it cannot create all the demand it needs to keep scaling efficiently.
Brand marketing is slower to prove in a click-based reporting environment, but it improves the odds that future performance will be cheaper and stronger.
Measurement discipline matters on both sides. Brand should not be excused from accountability, and performance should not be protected from causal scrutiny.
Channel planning should follow roles, not assumptions. CTV, paid social, search, programmatic, and retail media can all contribute differently depending on the brief.
ROAS is necessary, but it is not enough. A company can optimize ROAS for months while quietly making future growth harder.
The best growth models align demand creation and demand capture inside one operating system.
That is the real strategic implication behind the brand building vs performance marketing debate. The question is not which discipline deserves the budget by default. The question is which combination gives the business a stronger present without weakening its future.
When that alignment is missing, performance often gets blamed for problems it cannot solve alone. When it is present, performance and brand stop competing for legitimacy and start working as a growth engine.
For teams rethinking that balance, this is a good time to get in touch with AI Digital to assess how brand and performance are working together—and where the mix may be helping, overlapping, or holding growth back.
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 main difference between performance marketing and brand marketing?
The main difference is that performance marketing is built to drive measurable actions now, while brand marketing is built to increase preference, memory, and demand over time. Performance captures existing intent. Brand improves the odds that more intent will exist later and that future conversion will be easier.
When should a company prioritize performance marketing?
A company should prioritize performance marketing when it needs immediate revenue efficiency, has a clear conversion window, is operating in a high-intent category, or needs tight budget accountability. That does not mean brand should disappear. It means performance should lead the plan for that phase.
How does brand marketing influence measurable revenue outcomes?
Brand marketing influences measurable revenue outcomes by increasing familiarity, trust, and consideration before a buyer reaches the point of conversion. That can show up later through stronger branded search, higher conversion rates, lower acquisition costs, better retention, and improved lifetime value.
Which metrics matter most when comparing brand and performance impact?
For performance, the most useful metrics usually include CPA, ROAS, conversion rate, conversion value, and incrementality. For brand, awareness, search lift, branded search, share of voice, direct traffic, sentiment, and long-term revenue contribution are more revealing. The most useful comparison is not metric versus metric. It is whether the full mix is improving both short-term returns and future growth potential.
Why can over-investing in performance limit long-term growth?
Over-investing in performance can limit long-term growth because performance channels are usually best at converting people already close to purchase. If brand investment is too weak, the pool of future buyers does not expand enough, recognition stays flat, and acquisition can get more expensive over time.
How do channels like CTV and paid social support both strategies?
CTV and paid social can support both strategies because they sit in the overlap between reach and precision. With the right creative and measurement setup, they can build awareness, lift search interest, and also contribute to action-oriented outcomes. Their role depends less on the channel label and more on the objective, the audience, and the creative logic.
What are common strategic mistakes when separating brand and performance budgets?
The most common mistakes are judging all spend on a short-term attribution model, letting brand and performance teams operate with unrelated creative systems, assuming low-funnel metrics tell the full story, and treating channel categories as fixed functions. The bigger mistake is organizational: asking two different teams to chase two different truths about the same buyer.
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