How CPM Influences TV Ad Performance — and How to Use It Right
January 5, 2026
10
minutes read
As TV shifts from broadcast schedules to streaming on-demand, the real question for marketers isn’t just where audiences are watching—it’s what each impression is worth. CPM has become the universal language that connects linear TV’s scale with CTV’s precision, revealing how efficiently brands can reach viewers in an increasingly fragmented universe. With CTV ad spend exploding and CPMs ranging from $20 to $65, the gap between cost and value is widening—and only data-driven teams know how to interpret it. This guide breaks down how CPM shapes performance in today’s TV landscape, why it’s now a strategic KPI, and how marketers can use it to plan smarter, spend better, and scale without sacrificing results.
As TV advertising shifts from traditional linear TV to an increasingly data-driven world of connected TV platforms, understanding how TV CPM, CTV CPM, and connected TV CPM function is now a cornerstone of smarter media planning. With CPM in television serving as a universal benchmark across channels, it helps teams compare costs, forecast reach, and allocate dollars with far greater precision than legacy rating systems could ever offer. This evolution matters because the way audiences consume content—streaming on demand versus scheduled broadcast—reshapes both audience behavior and the advertising cost landscape. The shift is part of the broader transformation in tv advertising from a broad-reach broadcast playbook to a performance-oriented strategy that emphasizes targeting and measurable outcomes.
⚡️The rise of CTV advertising isn’t just hype: global CTV ad spend is projected to climb into the tens of billions of dollars in 2025, reflecting double-digit year-over-year growth as advertisers pivot more budget toward streaming screens and away from conventional television channels.
In practice, CTV CPM often ranges from roughly $20–$65 depending on platform, targeting precision, and inventory premium, which is higher than many linear TV benchmarks but comes with richer data and performance insights that traditional buys can’t match. These figures underscore how cost and value now intersect in new ways across digital-measured and big-screen environments.
Although CPM has been part of TV planning for decades, its role today carries far more strategic weight. With advertisers navigating fragmented publishers, new measurement standards, and fluctuating inventory prices, CPM acts as a common denominator that helps compare platforms, evaluate the real cost of reaching audiences, and determine whether a particular CTV CPM aligns with expected outcomes. The goal of this article is to explore why CPM remains so influential—especially in cpm tv advertising—and how marketers can interpret it correctly to improve decision-making without giving up scale or performance.
CPM — cost per thousand impressions — is one of the core pricing models in tv advertising, including both linear and CTV environments. In practical terms, TV CPM or CTV CPM represents the amount an advertiser pays for every 1,000 ad impressions delivered on a television screen. The “per thousand” standard comes from the Latin mille, a convention that has shaped impression-based buying for decades across television and digital media.
⚡️You can see how CPM connects to broader performance evaluation—alongside metrics like CPA, ROAS, and attribution models—in our guide ondigital marketing KPIs, which outlines how impression-based metrics fit into a full measurement ecosystem.
In linear TV, an impression is counted when an ad airs during a scheduled program and is attributed to the estimated audience watching at that time. These impressions rely on panel-based projections. In connected TV, however, an impression is recorded only when an ad fully renders on a device—an important evolution because impressions are now verified rather than estimated. This shift is one of the main reasons modern connected tv CPM values are typically higher than those in traditional broadcast.
Recent market analyses reveal that CTV CPMs often fall between $20 and $65, depending on audience specificity, targeting sophistication, and publisher inventory, while broad linear TV placements commonly range from $10 to $30. The difference reflects growing audience fragmentation, premium streaming environments, and the higher precision that CTV platforms provide.
What makes CPM tv advertising especially valuable today is that CPM acts as a financial and performance anchor. It allows marketers to compare inventory quality across platforms, understand whether they are overpaying for certain audiences, and evaluate how campaign structure influences final outcomes. As performance expectations rise, CPM provides a stable, comparable metric that bridges the old world of rating-based buying and the new world of impression-level measurement.
💡Across both linear and connected TV, CPM remains essential for planning, budgeting, and determining whether your advertising cost aligns with expected reach and effectiveness—a crucial foundation for any modern TV or CTV strategy.
How to calculate CPM: formula and quick example
CPM is calculated using a simple formula that helps advertisers understand how much they pay to reach 1,000 viewers across linear TV or connected TV platforms. Whether you’re evaluating tv cpm, connected tv cpm, or comparing costs across multiple publishers, the math stays the same.
In this case, your CTV CPM is $20, meaning you pay $20 for every 1,000 impressions delivered. This type of calculation helps benchmark pricing, forecast reach, and compare performance across various television and CTV inventory sources.
Why CPM is a core KPI in TV and CTV media planning
Brands rely on CPM because it creates a unified way to compare cost and reach across different TV environments, from linear broadcast to data-driven CTV platforms. As audiences scatter across devices and publishers, CPM offers a stable reference point that helps marketers navigate fragmentation while keeping budgets aligned with expected outcomes.
💡Beyond these four pillars, CPM serves as the connective tissue between cost, audience reach, and performance expectations. It helps unify planning across fragmented television ecosystems, ensuring that campaigns stay financially grounded while still maximizing impact.
⚡️For a deeper breakdown of how these metrics work together and how TV and CTV advertisers quantify financial return, you can explore our guide onTV advertising ROI, which explains attribution models, sales impact measurement, and methods for linking impression delivery to revenue outcomes.
CPM in both tv advertising and CTV advertising fluctuates based on several interconnected factors, from the channel where the ad appears to the targeting depth and competitive pressures surrounding specific audiences. Understanding these drivers helps advertisers judge whether a TV CPM, connected TV CPM, or CTV CPM aligns with the value they expect from a campaign. Below are the core influences that shape CPM across the television ecosystem.
Channel type: Linear vs CTV
The type of television channel plays one of the most significant roles in determining cost. Linear TV CPMs tend to be lower because they are built on broad reach and estimated impressions. In contrast, CTV CPMs are generally higher due to verified delivery, premium streaming environments, and richer audience data.
⚡️For a deeper comparison of how these environments differ in pricing, measurement, and audience behavior, explore our guide onCTV vs. Linear TV.
Audience targeting depth
The more granular the targeting, the higher the CPM. Broad audiences usually come with lower costs, while precise segments such as household income, interest categories, retargeting pools, or custom data overlays, command a premium. Advertisers pay more when they want to reach fewer people with higher relevance, which is why connected TV CPMs often rise when demographic, behavioral, or geographic filters become more specific.
💡Targeting depth influences not only cost but also the quality of impressions, which can significantly impact downstream performance.
Competition and seasonality
CPM fluctuates with market demand. Periods of high advertiser competition—holidays, political cycles, product launches, or major cultural events—push CPM upward across both linear and connected TV. When more brands compete for limited premium inventory, auction-based and fixed-price environments both experience cost inflation.
Conversely, softer advertising periods often bring more accessible TV CPMs and better negotiation leverage for buyers.
Creative quality and placement
Higher-quality creative often earns access to better placements or premium inventory categories, which can increase CPM but improve performance. Placement also matters: prime-time linear slots, high-engagement CTV apps, or exclusive publisher environments typically command higher CPMs because they offer greater visibility and stronger audience concentration.
On the flip side, remnant inventory, off-peak timing, or recycled creative assets may cost less but deliver weaker impact. In this way, creative strength and placement strategy directly influence the value of each impression.
Lowering CPM in TV advertising and CTV advertising is a balancing act: you want to improve cost efficiency without shrinking your audience or weakening performance. The strategies below help advertisers bring down TV CPM, connected TV CPM, and CTV CPM while maintaining healthy impression volume and campaign impact.
Define your target audience properly
When segments are overly narrow or poorly defined, supply becomes limited and CPM rises as a result. Broader, relevant audiences typically drive lower CPM and more total impressions without diluting campaign impact.
In fact, CTV campaigns with well-structured audience definitions deliver higher engagement and better downstream outcomes compared to broad, undifferentiated buys—CTV ads can have completion rates as high as 90–98%, which correlates with more efficient cost distribution across impressions.
Use look-alike audiences for scale
Look-alike modeling extends reach to viewers who resemble your core audience but haven’t yet been exposed to your ads. Because these segments are larger yet still relevant, buyers often see CPM improve while maintaining performance. A growing body of data shows that as CTV expenditure increases—projected ad spending is expected to reach over $32 billion in the U.S. by 2025—marketers who combine audience expansion with precision targeting tend to capture more efficient reach than those relying solely on narrow buys.
Optimize frequency caps
Too much repetition drives wasted impressions and inflates CPM without meaningful incremental reach. Industry research shows the average CTV campaign frequency can exceed optimal levels (frequencies above 7 exposures) even while effective household reach remains under 20%. This imbalance signals inefficiency: users see the same ad repeatedly while the campaign fails to reach new viewers.
💡That’s why by tightening frequency caps—setting sensible limits on how often an individual viewer sees an ad—you spread impressions across more unique users, which lowers effective CPM and improves overall campaign efficiency.
Leverage data-first platforms
Platforms built around first-party and deterministic data deliver more accurate audience matches and fewer wasted impressions than less sophisticated inventory.
💡In CTV, viewers are increasingly shifting away from traditional linear consumption, with nearly nine out of ten U.S. households now owning at least one CTV device. This deep penetration means data-driven platforms have enormous potential to scale reach at competitive CPMs because they can better match ads to engaged viewers and reduce wasted spend.
Choosing these platforms typically supports more efficient budgeting and superior reach compared with legacy buys that treat all impressions as equal.
At AI Digital, this data-first philosophy is foundational. Our platform is built on high-quality, privacy-compliant first-party signals and deterministic audience intelligence, enabling advertisers to target with precision and measure outcomes more reliably. By prioritizing clean, transparent data pipelines over opaque inventory, AI Digital helps brands reduce waste, control CPM volatility, and deliver campaigns that actually reach the audiences they’re paying for.
CPM benchmarks: What’s considered “Good” in 2026?
CPM benchmarks in tv advertising and CTV advertising have become increasingly fluid as audience behavior shifts, streaming inventory grows, and media buying becomes more data-driven. By 2026, it’s no longer useful to think of a single “ideal CPM.” Instead, advertisers evaluate CPM based on channel type, vertical, audience quality, and campaign objectives. Benchmarks are directional, not absolute, and should be interpreted within the broader context of cost efficiency and downstream performance.
⚡️You can explore more adoption insights in ourConnected TV statistics, which highlight viewer behavior trends, device penetration, and how shifting consumption patterns shape CPM expectations across streaming environments.
💡In general terms, linear TV remains more cost-efficient for broad-reach campaigns, offering lower CPMs but less precision. CTV, on the other hand, typically carries higher CPMs but delivers verified impressions, better targeting, and higher engagement rates—factors that justify the premium for many advertisers.
A “good” CPM in 2026 depends on what the campaign is trying to achieve:
For brand awareness, a higher CPM may still be optimal if it reaches high-value audiences with strong completion rates.
For performance-focused campaigns, efficiency matters more, and buyers look at CPM alongside metrics like ROI, frequency, and incremental reach.
For verticals such as finance, health, or B2B, CPMs are naturally higher due to limited audience availability and higher competition.
For mass-market retail or entertainment, CPMs trend lower, but quality and placement still shape the true value of those impressions.
The key is to use CPM as a directional benchmark rather than a rigid target, combining it with engagement metrics, conversion data, and platform-level insights to understand whether a particular cost aligns with your campaign’s expected impact.
CPM vs other TV advertising metrics (CPV, CPA, ROAS)
CPM is foundational in tv advertising and CTV advertising because it measures the cost of delivering impressions, but marketers rarely evaluate it in isolation. To understand whether a tv cpm, connected tv cpm, or ctv cpm is performing well, advertisers compare it against metrics that reflect engagement, action, or financial return. Each metric answers a different question—CPM tells you what it cost to deliver the audience, while CPV, CPA, and ROAS reveal what that audience actually did.
Conclusion: How to make CPM work for your TV advertising strategy
CPM remains the backbone of effective tv advertising and CTV advertising because it anchors planning, budgeting, and performance evaluation. But CPM becomes truly powerful when it’s used as a decision-making tool, not just a cost metric. The goal isn’t simply to chase the lowest number; it’s to reach valuable new audiences efficiently and consistently, supported by transparent data and optimized delivery paths.
💡This is where the right technology stack matters.AI Digital’s Elevate platform and Smart Supply system transform CPM from a static cost metric into a strategic tool that drives efficiency, transparency, and business impact. They do this through several concrete capabilities:
Unified planning and forecasting
Elevate gives marketers predictive planning and KPI-driven optimization across channels, including CTV. This means you can model how different CPM scenarios affect reach, frequency, and results before launching campaigns. The platform delivers high-confidence forecasts to help anticipate outcomes and align budget decisions with strategic goals rather than gut feel.
Transparent, glass-box optimization
Unlike opaque vendor-specific automation, Elevate’s AI intelligence engine reveals the “how” and “why” behind every recommendation. That transparency helps you understand which impressions are truly valuable, and why some placements or segments drive better performance—so your CPM decisions are grounded in insight, not guesswork.
Real-time performance tuning
AI isn’t just predictive — it’s adaptive. Elevate continuously ingests live performance data, so optimization happens on the fly. This means campaigns self-adjust toward placements and audience segments that deliver stronger results, which often lowers effective CPM by reducing spend on inefficient impressions.
AI Digital’s Smart Supply uses machine learning to refine how ad inventory is sourced and activated across programmatic channels. Instead of buying through layers of intermediaries that inflate cost, Smart Supply identifies the most efficient paths to premium inventory, eliminates low-performing placements, and prioritizes high-engagement sources—improving cost efficiency without sacrificing reach.
High-quality, fraud-filtered inventory access
Smart Supply’s AI filters out low-value or non-viewable impressions (including indirect traffic and weak placements), ensuring the impressions you buy are real and impactful. This inventory curation directly supports healthier CPM metrics and better campaign ROI.
Platform-agnostic “Open Garden” approach
Rather than locking advertisers into one DSP or walled garden, AI Digital’s systems operate across multiple demand sources. This reduces dependency on a single vendor’s pricing tactics and gives you direct visibility into where your money goes, enabling better CPM control across a diverse set of supply partners.
In sum, Elevate doesn’t treat CPM as an isolated number; it turns it into a strategic lever that’s dynamically tied to performance, audience quality, and inventory efficiency. This combination of predictive AI planning, real-time optimization, clean supply paths, and transparent decisioning helps advertisers lower effective CPM without sacrificing reach—or the quality of the audiences they serve.
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
Why is CTV CPM higher than linear TV CPM?
CTV CPM is higher because connected TV delivers verified, device-level impressions and far more precise audience targeting than linear TV. Linear impressions are based on panel estimates—a statistical projection of who was likely watching. CTV impressions, by contrast, are confirmed exposures, logged when the ad actually renders on screen. CTV also offers access to premium streaming environments, higher ad completion rates (often above 90%), and data-driven targeting that lets advertisers reach specific households or behavioral segments. This additional accuracy, control, and viewer quality increases the value of each impression, which naturally raises CPM compared to broad, undifferentiated linear inventory.
Does a higher CPM always mean worse performance?
Not at all. CPM only tells you what it costs to deliver impressions, not how valuable those impressions are. A higher CPM may signal that you're reaching high-intent, high-value, or hard-to-reach audiences, which can lead to better outcomes even if the price is higher. For example, a narrowly targeted CTV campaign might cost more per thousand impressions but deliver significantly better engagement, higher conversion likelihood, and stronger return on ad spend. Conversely, a low CPM might simply reflect broad, untargeted reach with weaker relevance. Performance comes from audience quality, creative strength, and placement—not just cost.
How do impressions in TV differ from digital impressions?
The biggest difference lies in how impressions are counted. In linear TV, impressions are estimated using panel-based measurement systems that model how many people were likely watching at the time an ad aired. This method offers scale but not certainty.
Digital and CTV impressions, on the other hand, are verified: an impression is only counted when the ad actually renders on a device. This creates a much clearer, more accurate understanding of exposure and leads to better optimization, attribution, and frequency control. The precision of digital impressions is one of the main drivers of higher CTV CPMs and more reliable performance measurement.
What affects CPM volatility throughout the year?
CPM fluctuates due to seasonality, competition, and inventory pressure. High-demand periods—such as holidays, political advertising cycles, major sports events, or peak retail seasons—push CPM upward because more advertisers are bidding for a limited pool of premium inventory. During quieter periods, CPM typically softens as demand decreases.
In CTV specifically, CPM can also shift based on audience targeting depth, publisher supply, changes in viewer behavior, and how aggressively brands compete for certain segments. When advertisers narrow their audience too tightly or bid for high-value contextual placements, CPM increases. When they broaden their targeting or when supply expands (e.g., during off-peak months), CPM tends to stabilize or decline. Overall, CPM volatility is a function of market demand, targeting strategy, and inventory availability, not just platform pricing.
Have other questions?
If you have more questions, contact us so we can help.