Average CTR for Display Ads (2025–2026): Industry Benchmarks & Optimization Tips

November 27, 2025

14

minutes read

In an advertising landscape reshaped by AI-driven optimization and the phasing out of third-party cookies, relying on outdated performance benchmarks is a recipe for wasted spend. The definition of a "good" Click-Through Rate (CTR) for display ads has evolved, demanding a fresh, data-informed perspective. This guide cuts through the noise, providing digital marketers with the 2025–2026 CTR benchmarks they need—segmented by industry, format, and device. Beyond the numbers, we delve into actionable strategies for creative refinement, precision targeting, and intelligent placement that boost engagement without sacrificing bottom-funnel metrics like CPA and ROAS. Learn how to leverage next-generation tools to not just meet but exceed industry averages in the privacy-first er

Table of contents

Click-Through Rate (CTR) calculated by dividing the number of clicks an ad receives by the number of times it's shown (impressions), remains a fundamental pulse check for digital advertising campaigns. For digital marketers, performance managers, and media buyers, it is a direct indicator of an ad's initial ability to capture attention and provoke a desired action in a crowded digital space.

However, in 2025, the context for CTR has profoundly shifted. The global average CTR for display ads, often cited as a meager 0.05% to 0.1%, is a misleading oversimplification. This figure masks dramatic fluctuations: a high-impact video ad in a premium publisher environment can achieve CTRs 5-10x higher than a standard banner, while a programmatic native ad in the Finance sector might consistently outperform one in eCommerce. Factors such as industry vertical, ad format and size, user device, and, most critically, the sophistication of your targeting and creative strategy now dictate what constitutes a "good" CTR.

This is where a modern, AI-driven approach becomes indispensable. At AI Digital, we've built our platform to address this exact complexity. Our Elevate platform uses AI-powered creative orchestration to dynamically test and serve the most engaging ad combinations, directly lifting CTR. This is complemented by our Smart Supply system, which optimizes programmatic delivery for maximum placement efficiency and viewability—because a seen ad is a clickable ad. For a deeper dive into this critical metric, see our article on Digital Display Advertising. 

This article moves beyond the generic average to explore the updated 2025–2026 benchmarks you actually need for strategic planning. We will break down the key factors—from creative fatigue to the rise of AI-powered placement—that influence your CTR and provide a data-driven playbook of optimization tactics. The goal is not just to chase a higher percentage, but to understand how improving CTR works in concert with other vital metrics like viewability, Cost-Per-Acquisition (CPA), and Return on Ad Spend (ROAS) to drive sustainable growth.

What is a good CTR for display ads?

The most common question in any media buy debrief is also the most difficult to answer with a single number: "Is our CTR for display ads good?" In 2025, the honest answer is, "It depends." The concept of a single industry standard for display ad CTR is obsolete. What constitutes a good CTR for display ads is now a variable defined by a campaign's specific context—its industry, ad format, target device, and the quality of its targeting data. Chasing a generic benchmark CTR can lead to misguided optimizations that sacrifice higher-funnel brand building or, worse, attract low-quality click fraud. The true goal is to outperform your own sector's competitive CTR while maintaining efficient conversion metrics.

For instance, the average CTR for programmatic display across the open web remains low, often hovering between 0.05% and 0.08%. This is a critical baseline for display advertising statistics. However, a hyper-targeted programmatic campaign using first-party data can easily achieve CTRs 3-5x this figure. This variance underscores why understanding the nuances behind display ad metrics is crucial for accurate performance analysis. To master these nuances, a solid foundation in programmatic advertising is essential.

Global CTR benchmarks for 2025–2026

While a global average provides a starting point, savvy strategists dig deeper. The overall average click-through rate for display ads continues to be suppressed by the sheer volume of banner impressions served in low-engagement environments. Current data suggests the global average CTR for display ads sits at approximately 0.06%. However, this number tells only part of the story.

These display advertising statistics highlight that your primary benchmark should be your own historical performance and the performance of direct competitors within your vertical.

CTR by ad format

The format of your ad is arguably the single greatest factor influencing your click-through rate for display ads. The passive, static nature of a standard banner cannot compete with the immersive experience of a rich media or video unit. The following breakdown illustrates the significant disparity in performance across common formats, showcasing why a one-size-fits-all approach to display ad metrics is ineffective.

⚡For a detailed comparison to guide your planning, explore our breakdown of Native ads vs. display ads, such as key differences, examples, and when to use each. 

💡 Understanding this strategic distinction is key to allocating your budget effectively and choosing the right format to meet your specific KPIs, whether you're prioritizing direct response or upper-funnel engagement.

CTR by device

In the multi-screen world of 2025, the device a user is on is a powerful predictor of engagement. The average CTR for display ads is no longer a uniform metric across screens; it's shaped by screen size, user context, and intent. Understanding these device-level display advertising statistics is crucial for allocating budget and tailoring creative.

Display CTR by industry

Understanding the broader landscape of display advertising statistics is crucial for setting realistic performance expectations. The following chart provides a comparative view of average CTR for display ads versus search ads across key verticals, based on 2025 industry data. This visualization powerfully illustrates the fundamental performance differential between intent-driven search and awareness-focused display campaigns.

(source of the infographic)

When evaluating your display ad CTR, context is everything. The notion of a single "good" click-through rate for display ads is a myth; performance is intrinsically tied to your industry's unique dynamics. User intent, purchase cycle complexity, and the very nature of your product or service create significant variances in display advertising statistics. A competitive CTR in one vertical would be a red flag in another. The following industry-specific breakdown moves beyond a generic benchmark CTR to provide the nuanced understanding you need to accurately gauge performance and set realistic, data-driven goals for your campaigns.

Retail & eCommerce

The Retail & eCommerce sector is the engine of the display advertising world, characterized by massive impression volume and a wide range of performance. The average CTR for display ads in this vertical typically hovers around 0.51%, but this figure is deceptive. Performance is intensely fragmented. Broad, upper-funnel brand awareness campaigns often see CTRs closer to 0.04-0.07%, while hyper-personalized Dynamic Product Remarketing (DPR) ads can achieve stellar rates of 0.2% to 0.5% or higher. The key differentiator is data and personalization which is possible through retail digital marketing

💡A good CTR for display ads here is one that efficiently drives viewability for new customers and high-intent clicks from retargeted users, directly impacting ROAS. 

Finance & Banking

As a high-consideration sector, Finance & Banking consistently reports a strong display ad CTR, with an industry average around 0.52%. Users researching financial products—from credit cards to mortgages—exhibit high intent, making them more likely to engage with relevant, trustworthy ad creative. The competitive CTR in this space is driven by a focus on security, value proposition, and precise targeting based on life events and financial behaviors. Success relies on balancing engaging creative with stringent compliance, making CTR a useful indicator of an ad's ability to break through consumer skepticism without relying on sensationalist claims.

Healthcare & Pharma

The Healthcare & Pharma vertical operates under unique constraints, resulting in a more conservative average click-through rate for display ads, often around 0.59%. Strict regulatory guidelines often necessitate direct, informational creative that may not be as "clickable" as other industries. Furthermore, the sensitive nature of health information means users are cautious. Therefore, while CTR is a relevant display advertising metric, it is secondary to metrics like viewability, brand lift, and driving traffic to authoritative, educational content. Campaigns are designed to build trust and awareness over time, rather than solicit an immediate click.

Travel & Hospitality

This sector thrives on aspiration, which is reflected in its display advertising statistics. With an average CTR of 0.47%, performance is highly creative-dependent. Lush, high-quality imagery and video of destinations are paramount for success. The sales cycle is long, so a good CTR for display ads in travel often comes from retargeting users who have already shown intent by searching for flights or hotels. These campaigns can significantly outperform the industry average, making CTR a valuable measure of creative relevance and audience-list quality at different stages of the customer journey.

Technology & B2B

This broad category encompasses everything from consumer electronics to complex B2B SaaS solutions. The overall average CTR for programmatic display is solid, but the B2B segment often sees lower initial click rates (around 0.46%) due to longer, multi-touch sales cycles and committee-based buying decisions. In B2B, a click is a significant signal of interest. Therefore, a good CTR for display ads is one that identifies and engages a target account. Success is less about raw volume and more about driving engaged visitors from high-value firms to landing pages where they can be identified and nurtured.

Entertainment & Media

Driven by the need to promote new releases, streaming content, and events, the Entertainment & Media industry leverages highly emotive and visually compelling creative. This results in a strong average CTR of 0.51%. The goal is often immediate action—watching a trailer, signing up for a service, or purchasing a ticket—which creates a sense of urgency that boosts engagement. This vertical excels at using rich media and video formats to capture attention, making CTR a key performance indicator for campaign launch momentum.

Other Industries

Numerous other verticals—from Automotive to Legal Services—leverage display networks with unique strategies. The benchmark CTR for any industry is ultimately shaped by customer intent, purchase cycle, and creative flexibility. Understanding the underlying technology stack that powers this ecosystem is key to optimizing across any vertical.

⚡For a deeper look at the tools that make modern advertising possible, explore our article on AdTech and MarTech: What’s the Difference and Why They’re Converging

Key factors influencing CTR

While industry benchmarks provide a target, your actual display ad CTR is determined by a complex interplay of strategic and tactical factors. Understanding these levers is the first step toward systematic optimization and achieving a competitive CTR. A high click-through rate for display ads isn't accidental; it's the result of orchestrating several key elements, from the technical quality of the impression to the emotional pull of the creative.

The following hierarchy illustrates the relative impact of the primary factors influencing your average CTR for display ads:

Here’s a breakdown of these critical drivers:

  • Creative Format and Messaging (High Impact): This is your most powerful lever. A static banner will deliver a different average click-through rate for banner ads than an interactive rich media unit. Compelling, value-oriented messaging with a clear call-to-action (CTA) is non-negotiable. In the cookieless era, creative itself is becoming a key targeting vector, where dynamic creative optimization (DCO) powered by AI can tailor messages in real-time, significantly boosting relevance and engagement.
  • Audience Targeting and Relevance (High Impact): Showing the right ad to the right person is the cornerstone of performance. As third-party cookies depreciate, the accuracy of targeting is evolving. Strategies leveraging first-party data, contextual targeting, and AI-powered predictive audiences are becoming essential to maintain a good CTR for display ads by ensuring your message resonates with the user's current interests and intent.
  • Ad Placement and Viewability (High Impact): An unseen ad cannot be clicked. Viewability—the percentage of an ad that is actually visible to a user—is a direct prerequisite for CTR. Placements above the fold, within content, and on high-engagement sites naturally yield higher display ad metrics. This is intrinsically linked to the next factor.
  • Publisher & Media Quality (Medium Impact): The environment matters. Ads placed on reputable, brand-safe websites through Supply-Path Optimization (SPO) generate more trust and engagement than those on low-quality, cluttered sites. Investing in fraud-free, premium inventory not only protects your brand but also improves the performance of your banner impressions by ensuring they are seen by real humans in a positive context.
  • Frequency and Ad Fatigue (Medium Impact): Even the best creative wears out. Oversaturating a user with the same ad leads to banner blindness, a sharp decline in your CTR for display ads. Managing frequency caps and having a robust creative refresh schedule are vital to maintaining campaign effectiveness over time.
  • Device and Environment (Medium Impact): As discussed, user behavior differs by device. A mobile-optimized ad with a thumb-friendly CTA will have a different average CTR for programmatic display on a smartphone than a desktop skyscraper. Understanding the user's context allows for better format and messaging choices.
  • The Impact of Privacy and the Cookieless Era (Foundational Impact): This is the new foundational layer affecting all others. The shift towards a privacy-first web is reducing the precision of traditional behavioral targeting. This makes the factors of contextual relevance, compelling creative, and AI-driven prediction more critical than ever. 

💡 The shift towards a privacy-first web is reducing the precision of traditional behavioral targeting. 

⚡ This makes the factors of contextual relevance, compelling creative, and AI-driven prediction more critical than ever. To understand how AI and machine learning are shaping this new paradigm and enabling sophisticated optimization at scale, explore our insights on AI in Digital Marketing.

CTR vs other performance metrics

While Click-Through Rate (CTR) is a vital sign of initial ad engagement, it is just one data point in a comprehensive campaign health assessment. Relying on display ad CTR alone is like judging a book by its cover—it tells you something caught attention, but not if the story was worthwhile. In 2025, with sophisticated attribution and a focus on bottom-funnel outcomes, savvy digital marketers must balance CTR with other critical performance indicators.

💡 For a comprehensive look at all vital measurements, see our guide to Essential Digital Marketing KPIs to Track (and Improve) in 2026.

Key factors influencing CTR

A high click-through rate for display ads is meaningless if those clicks don't contribute to business objectives. The following metrics provide the essential context needed to evaluate your display campaigns truly.

  • CTR vs. Viewability: A high viewability rate means your ad had the opportunity to be seen; a high CTR means it was compelling enough to act upon. They are complementary. An ad with high viewability but a low CTR for display ads likely suffers from poor creative or mistargeting. Conversely, a high CTR with low viewability might indicate your budget is being spent on fraudulent or poorly placed banner impressions.
  • CTR vs. Conversion Rate (CVR): This is the most critical comparison. CTR measures the top-of-funnel click; CVR measures the bottom-funnel action (purchase, sign-up, etc.). You can have a stellar industry average CTR for display ads, but if your conversion rate is low, it indicates a disconnect—perhaps your ad creative is misleading, your landing page experience is poor, or you're attracting low-intent clicks.
  • CTR vs. Cost-Per-Acquisition (CPA) & Return on Ad Spend (ROAS): Ultimately, marketing must drive efficient growth. A campaign with a modest average CTR for programmatic display can be highly profitable if it drives conversions at a low CPA and a high ROAS. Conversely, a campaign with a high CTR that fails to convert or drives insignificant revenue is inefficient, regardless of how it stacks up against display advertising statistics.
  • CTR vs. Post-Click Engagement: Metrics like bounce rate, pages per session, and average session duration reveal the quality of the traffic driven by your ads. A high CTR coupled with a high bounce rate suggests your ad is relevant, but your landing page is not, or you may be attracting the wrong audience.

💡CTR is an excellent diagnostic tool for creative effectiveness and initial audience relevance. It answers the question, "Is my ad compelling people to take the first step?"

However, it should not be optimized in a vacuum. The goal is not to maximize CTR at all costs, but to find the optimal range where a strong CTR works in harmony with strong conversion rates, acceptable CPA, and positive ROAS. Use CTR to guide your creative and targeting A/B tests, but always evaluate the winners based on their impact on your primary business objectives. In the AI-driven landscape, the most sophisticated platforms balance these metrics automatically, optimizing not for clicks, but for tangible business outcomes.

How to improve CTR for display ads

A low display ad CTR is a solvable puzzle. Moving your click-through rate for display ads from average to exceptional requires a disciplined, test-and-learn approach focused on the key levers of audience, creative, and placement. Below are actionable optimization strategies that marketers can implement to immediately boost engagement and drive more value from their display campaigns.

Test and Optimize Creatives

Your creative is your most powerful tool for improving display ad metrics. Even the best targeting will fail with a weak ad. To beat the industry average CTR for display ads, you must relentlessly test and refine.

Use Contextual + AI Targeting

The deprecation of third-party cookies makes precise targeting more challenging but not impossible. The future lies in combining contextual intelligence with AI.

AI Targeted Advertising is changing everything because it moves beyond static audience segments and one-dimensional contextual signals.Instead, AI and machine learning models analyze vast, complex datasets in real-time—including browsing behavior, content engagement, purchase intent signals, and even weather or time-of-day context—to predict which user is most likely to engage with your specific ad creative at a specific moment.

Leverage Dynamic Creatives and Personalization

Generic ads get generic results. Personalization is the key to cutting through the noise and making a user feel like your ad was made just for them.

Improve Placement via Programmatic & Smart Supply

Where your ad appears is almost as important as what it says. A beautiful, well-targeted ad on a low-quality, irrelevant site will fail.

⚡ Programmatic buying is the engine of modern display advertising, and the Demand-Side Platform (DSP) is its intelligent control center.Rather than manually negotiating ad space on thousands of websites, a DSP allows media buyers to access millions of ad impressions across the globe in real-time through a single interface. This ensures your budget is allocated to the highest-value opportunities, systematically improving placement quality, boosting your average CTR for programmatic display, and maximizing ROAS.

Monitor Performance and Iterate

Optimization is not a one-time task; it's a continuous cycle. The market, your audience, and ad fatigue are constantly evolving.

How Smart Supply improves CTR and performance

In a complex digital ecosystem, even the most compelling creative can fail if it's served in the wrong place, at the wrong time, or to a non-human entity. This is where the quality of your media supply becomes the critical foundation for performance. AI Digital's Smart Supply is engineered to directly address this challenge, systematically boosting your display ad CTR, viewability, and ROAS through intelligent supply-chain optimization.

Smart Supply acts as your AI-powered filter for the entire programmatic landscape. It doesn't just buy impressions; it buys quality impressions. By leveraging machine learning and advanced Supply-Path Optimization (SPO), the system continuously analyzes the supply chain to:

  • Eliminate Fraudulent and Low-Quality Inventory: By cutting out invalid traffic (IVT) and made-for-advertising (MFA) sites, Smart Supply ensures your budget is dedicated to real, viewable banner impressions that have a genuine chance to engage users.
  • Prioritize High-Engagement Placements: The AI identifies and favors publisher environments and specific ad placements with a proven history of high viewability and user interaction. This means your ads are more likely to be seen and clicked, directly elevating your average CTR for programmatic display.
  • Optimize for Efficiency and Outcomes: By streamlining the path to premium inventory, Smart Supply reduces wasteful ad spend. This freed-up budget is reallocated to the most valuable impressions, improving overall campaign efficiency and driving a higher Return on Ad Spend (ROAS).

💡The result is a virtuous cycle: cleaner inventory leads to higher viewability, which creates more opportunities for engagement, which in turn drives a stronger click-through rate for display ads and more efficient conversions.

 It’s the essential backbone that allows your creative and targeting strategies to shine. To see how this intelligent infrastructure can transform your campaign results, explore Smart Supply. 

Conclusion: The role of CTR in 2026

As we look toward 2026, the role of the Click-Through Rate (CTR) in a marketer's dashboard remains secure, but its context has irrevocably evolved. It is no longer a standalone success metric but a crucial diagnostic tool—a leading indicator of creative resonance and initial audience relevance. The true measure of campaign success, however, lies in balancing this initial engagement with the quality and business outcomes that follow.

A healthy display ad CTR should work in concert with strong viewability, a low bounce rate, a positive conversion rate, and an efficient ROAS.

In an era defined by AI and supply-path complexity, achieving this balance requires more than just manual tweaks; it demands an intelligent, orchestrated approach. The goal is not to chase clicks, but to cultivate valuable customer journeys that begin with a compelling ad impression.

Your Actionable Takeaways for 2026:

  1. Orchestrate with AI, Don't Just Optimize Manually: Move beyond A/B testing in silos. Leverage platforms like AI Digital Elevate to deploy AI-powered creative orchestration. This allows you to dynamically test and serve the most effective ad combinations at scale, directly lifting engagement while gathering the data needed to inform broader marketing strategy.
  2. Prioritize Quality Impressions Over Cheap Clicks: A low-cost, low-quality impression is a poor investment. Integrate Smart Supply into your media buying foundation to ensure your ads are placed in premium, brand-safe, and high-viewability environments. This builds brand trust and ensures your creative has a genuine chance to be seen and clicked by real people, improving both your CTR and post-click performance.
  3. Fuse Context, Creativity, and First-Party Data: With the deprecation of third-party cookies, your targeting strategy must adapt. Combine the power of contextual signals, your own first-party data, and AI-driven predictive audiences to reach users with unparalleled relevance. This holistic approach is key to sustaining a competitive CTR in a privacy-first world.

Measure CTR as Part of a Performance Symphony: Always view your CTR within a dashboard of complementary metrics. Use it to gauge the initial pull of your creative and targeting, but let metrics like Conversion Rate, CPA, and ROAS conduct the final performance. This ensures your display advertising efforts are not just generating clicks, but are actively driving sustainable business growth.

Inefficiency

Description

Use case

Description of use case

Examples of companies using AI

Ease of implementation

Impact

Audience segmentation and insights

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.
Medium
Medium

Questions? We have answers

What does CTR mean in advertising?

CTR, or Click-Through Rate, is a fundamental digital advertising metric calculated by dividing the number of clicks an ad receives by the number of times it is shown (impressions). It is expressed as a percentage. A CTR for display ads of 0.10% means the ad was clicked once for every 1,000 times it was displayed. It is a direct measure of your ad's initial ability to capture attention and provoke a desired action.

What is a good CTR for display ads?

There is no single "good" display ad CTR, as it varies significantly by industry, format, and targeting. The global average CTR for display ads is approximately 0.06%, but this is a misleading baseline. A good CTR for display ads is one that consistently outperforms your specific industry average CTR. For example, a CTR above 0.50% may be strong for eCommerce but would be underperforming in the Real Estate vertical. Always benchmark against your own historical performance and direct competitors.

Which industries have the highest CTR?

Based on 2025 data, industries characterized by high-intent, problem-solving needs, or visual aspiration consistently achieve the highest display advertising statistics for CTR. The top performers include: Real Estate (1.08%): Driven by users actively searching for properties. Beauty & Personal Care (0.72%): Leverages visual appeal and direct offers. Automotive (0.60%) and Health & Fitness (0.59%): Benefit from high user intent and research-driven behavior.

Which formats deliver the best CTR?

Ad format is a primary driver of engagement. The average click-through rate for banner ads is lowest for standard display units, while more immersive and integrated formats excel: Rich Media & Interactive Ads (0.15% - 0.3%+): Highest engagement due to expandable features and in-ad interactions. Video Ads (0.1% - 0.25%): Auto-playing video captures attention effectively. Native Ads (0.08% - 0.15%): Blends into content, overcoming banner blindness and building trust.

How can AI improve CTR?

AI improves CTR by moving beyond manual optimization to intelligent, predictive orchestration. It analyzes thousands of data points in real-time to: Serve the Right Creative: AI-powered platforms like Elevate dynamically test and serve the highest-performing ad combinations for each user segment. Find the Right Audience: AI uses predictive modeling to identify new, high-intent audiences based on your first-party data. Secure the Right Placement: AI-driven Smart Supply optimizes the media buy itself, ensuring ads run on high-viewability, brand-safe sites where they are most likely to be engaged with.

Is CTR still a reliable metric?

Yes, but with a critical caveat: CTR is a reliable diagnostic metric, not a definitive success metric. It is exceptionally useful for gauging creative effectiveness and initial audience relevance. However, it should never be viewed in isolation. A high CTR is unreliable if it doesn't correlate with positive outcomes like a low bounce rate, a high conversion rate, and a positive ROAS. The most successful strategies use CTR to guide optimizations while focusing on bottom-funnel business results.

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