Click-through rate benchmarks just got harder to use. On queries where AI Overviews appear, paid CTR drops 58 to 68%. On the same queries, organic CTR drops roughly 78%. AI Overviews now appear on approximately 47% of informational queries and 13% of commercial queries, and those percentages are climbing monthly. Meanwhile Meta's Andromeda ranking update, LinkedIn's Thought Leader Ads growth, and Performance Max's expansion have each moved CTR benchmarks in their own directions. This article assembles every major ad-type CTR benchmark into one cross-channel reference, explains what the AI Overviews disruption means for channel mix decisions, and gives you the CTR x CVR diagnostic that tells you whether your problem is the ad, the page, or the match between them.
The Context: Why CTR Matters Differently in 2026
CTR has always been a diagnostic metric, not a goal. A high CTR on a poorly-converting ad is a trap. But CTR is more useful than ever as a diagnostic because the 2026 data tells a specific story: CTR rose 7.49% year-over-year while conversion rate fell 9.28%. Ads are getting better at generating clicks. Pages are getting worse at converting them.
That divergence changes how to read benchmarks. A CTR at or above your industry median combined with a conversion rate below your industry median means your ad is doing its job and your page is failing. A CTR below your industry median means something is wrong upstream of the page: targeting, creative, or Quality Score. The same numbers that would have meant "normal performance" in 2023 mean "page problem" in 2026 because the CTR/CVR relationship has shifted.
Google Ads CTR Benchmarks
Google Ads splits into distinct formats that convert and click very differently. Comparing a Search CTR to a Display CTR is meaningless. Each format has its own benchmark. Data from WordStream and LocaliQ.
Google Search averages 3.17 to 3.52% CTR across all industries. This is the most-cited benchmark and the most misleading without context because brand and non-brand queries perform very differently.
Brand queries (searches that include your company name) average 15 to 30% CTR. The searcher already knows your brand and is actively looking for you. Brand campaigns should never be compared to non-brand benchmarks.
Non-brand queries average 2.0 to 3.5% CTR. This is the realistic target for most campaigns. Below 2% suggests a problem with ad copy, targeting, or Quality Score.
Google Display Network averages 0.46% CTR across all placements. Display CTR is structurally lower because the visitor isn't actively searching. They're consuming other content and the ad is interrupting that. A 0.5% Display CTR is average. Below 0.3% indicates creative or targeting problems. Above 0.8% is strong.
Google Shopping averages 0.86% CTR. Product listings with images and prices convert browsers differently than text ads. Shopping CTR tends to be higher for recognizable brands and lower for unknown sellers competing on price alone.
YouTube TrueView In-Stream averages 0.65% CTR. YouTube Bumper Ads average 0.40%. Video ad CTR is measured differently than Search (view-through rate matters more than click-through for some objectives), but 0.65% is the benchmark when click-through is the optimization goal.
Performance Max averages 6.1% CTR on its Search component, which is higher than standalone Search averages because PMax preferentially serves on the highest-performing query surfaces. This blended number is hard to compare apples-to-apples with isolated Search campaigns.
Discovery ads average 0.50 to 1.0% CTR. Discovery's native placement in YouTube Home, Gmail promotions, and Discover feeds makes it behave more like social than Search.
Google Search CTR by Industry
Industry variance in Search CTR is driven primarily by query intent and auction competition.
Arts and entertainment averages 10%+ CTR. High emotional engagement and urgent search intent (concert tickets, movie showtimes) produce the highest CTRs in Search.
Sports and recreation averages 8%+ CTR. Similar to arts and entertainment: specific intent combined with time-sensitive purchasing decisions.
Automotive sales averages 8%+ CTR. Visitors searching for specific vehicles have high intent and narrow consideration sets, driving clicks to specific dealer inventory.
Travel averages 8%+ CTR. Destination and date-specific searches ("flights to Denver in June") produce high-intent clicks.
Dating and personal services average 6.05% CTR. Real estate averages 5%. Healthcare averages 5.5%. Legal averages 4.2%.
B2B averages 2.5 to 3.2% CTR. Lower than consumer categories because B2B queries are often research-oriented rather than purchase-intent.
Finance and insurance averages 3.0% CTR. High competition and regulatory requirements around ad copy limit the ability to write attention-grabbing headlines.
Meta (Facebook and Instagram) CTR Benchmarks
Meta's formats and placements each have distinct CTR characteristics. Data from WordStream and AdAmigo.
Facebook Feed averages 1.11% CTR. The traditional feed placement performs slightly better than Instagram because Facebook's audience skews older and is more likely to click through to external sites.
Instagram Feed averages 0.90%. Instagram Stories averages 0.78%. Meta Reels averages 1.08%. Vertical video formats (Stories and Reels) have slightly different engagement patterns than the static feed placements.
Meta link click CTR across all placements ranges 0.90 to 2.19% depending on industry, audience, and creative quality. The upper end of this range (2%+) requires strong creative and tight audience targeting.
Meta Lead Ads average 1.5 to 3.5% CTR, higher than link ads because the form opens within Facebook instead of routing to an external page. Lower friction equals higher CTR.
LinkedIn CTR Benchmarks
LinkedIn's ad formats have the widest CTR variance of any platform. Data from LinkedIn B2B Institute and Impactable.
Sponsored Content averages 0.44 to 0.65% CTR. The traditional LinkedIn feed ad performs below most platforms because LinkedIn users are in professional consumption mode rather than shopping mode.
Sponsored Messaging averages 3.0% CTR. Direct inbox delivery creates higher engagement than feed placement, though deliverability and frequency caps limit scale.
Thought Leader Ads average 2.68% CTR. This format (promoting posts from individual executives or thought leaders) is the fastest-growing LinkedIn format and consistently outperforms Sponsored Content. The human voice and personal framing produce higher engagement than traditional brand ads.
Conversation Ads average 1.5% CTR. Interactive chat-style ads with branching response options.
Text Ads average 0.03% CTR. Essentially invisible. Text Ads exist primarily for remarketing and brand lift rather than direct-response performance.
TikTok, Pinterest, and Other Social Platforms
Platform CTRs outside Meta and LinkedIn have been consolidating as each platform matures.
TikTok averages 1.0 to 1.5% CTR across formats. Higher than most platforms due to full-screen video immersion and high creative frequency (users see many ads per session). TikTok CTR has been rising as targeting has improved.
Pinterest averages 0.30% CTR. Pinterest users browse longer and click less, but the intent that does trigger clicks tends to be purchase-oriented.
Snapchat averages 0.50% CTR. Reddit averages 0.25 to 0.75% depending on subreddit targeting quality.
X (formerly Twitter) averages 0.86% CTR. X has reduced relative ad frequency in 2025 to 2026, which has actually improved per-ad CTR for remaining advertisers.
Email and Native Display Benchmarks
Email and native display fill out the cross-channel picture.
Email averages 2.3% CTR across all industries. B2B email averages 3.2%. Ecommerce email averages 2.0%. Email CTR is the most variable metric in digital advertising because it depends entirely on list quality, sender reputation, and content relevance to the specific subscriber.
Native display averages 0.38% CTR. Programmatic display averages 0.35%. Native placements tend to outperform pure banner advertising but still sit well below Search and social.
The AI Overviews Shock
This is the section that matters most for channel mix decisions in 2026.
On queries where AI Overviews appear, paid CTR drops 58 to 68% according to multiple independent studies. Organic CTR drops even further, averaging 78% decline. AI Overviews appear on approximately 47% of informational queries and 13% of commercial queries as of early 2026, with both percentages climbing month over month.
The disruption isn't evenly distributed. "Informational commercial" queries (searches like "what is the best CRM for small business" or "how to choose a project management tool") are hit hardest because these are exactly the queries Google is most aggressively feeding into AI Overviews. Purchase-intent queries ("buy CRM software," "project management tool pricing") are still largely clean of AI Overviews intrusion.
What the Shock Means for Ad-Type Selection
Not all ad types are equally exposed to the AI Overviews disruption. This is the reallocation table most paid media teams need to internalize.
Search campaigns on informational keywords are heavily exposed. If your Search strategy relies on ranking for questions like "what is X" or "how does Y work," CTR is falling and will continue to fall. Reduce spend on these keywords or expect declining performance. Shift budget toward transactional queries.
Search campaigns on transactional keywords are minimally exposed. "Buy [product]," "[product] pricing," "[product] demo" queries still convert cleanly. Maintain or increase spend here. These are the queries where AI Overviews are least likely to appear and where intent is clearest.
Google Shopping is minimally exposed. AI Overviews don't replace product listing grids. If anything, Shopping's relative value has increased because the visual product cards remain prominent even when AI Overviews compress the text-ad SERP. Consider increasing Shopping share of budget.
Performance Max is mixed. PMax blends Search, Shopping, Display, and YouTube inventory, so its AI Overviews exposure depends on which surfaces are producing the conversions. Test PMax in isolation from other campaigns to understand where its performance actually comes from.
Display and YouTube have zero direct AI Overviews exposure. Ads that run on websites and video content aren't affected by how search results are rendered. Their relative value has increased by comparison.
Social (Meta, LinkedIn, TikTok) has zero AI Overviews exposure. These channels were never in the search results and aren't affected by changes there. Teams shifting budget out of informational Search should consider social as a reallocation destination.
The strategic implication is significant. A channel mix that worked in 2023 probably isn't the right mix for 2026. Teams overweighted on informational-intent Search are losing CTR and need to rebalance toward Shopping, transactional Search, Display, YouTube, and social. The rebalancing doesn't require abandoning Search. It requires segmenting Search spend by query intent and reducing exposure on the segment that AI Overviews are taking.
The CTR x CVR Diagnostic Matrix
Benchmark data becomes useful when you combine it with your conversion rate data to diagnose what's actually broken.
High CTR combined with low CVR means the ad is fine and the page isn't. Your creative and targeting are working. Visitors are clicking. They're just not converting once they arrive. Message match failure, slow page load, weak offer clarity, or form friction. This is the most common pattern in 2026 because ads are improving while pages stagnate.
Low CTR combined with high CVR means the page converts well when people get there, but not enough people are getting there. Your ad, targeting, or position in the SERP is underperforming. Focus on ad copy, keyword refinement, or bidding strategy.
Low CTR combined with low CVR means systemic misalignment. You're showing the wrong offer to the wrong audience, or your offer doesn't match what the market is looking for. This requires stepping back from tactical optimization and reassessing audience or positioning.
High CTR combined with high CVR means everything is working. Scale the budget. The diagnostic's purpose is to find the broken quadrant. This quadrant is the one to double down on.
The 2026 data places most campaigns in the first quadrant. Industry-wide CTR up 7.49%. Industry-wide CVR down 9.28%. The most common diagnostic outcome across the industry right now is "the ad is fine, the page is the problem."
Format-Specific CTR Drivers
Each format has specific levers that move CTR independently of audience or offer.
Search ads. Exact-match keywords produce 2 to 3x higher CTR than broad match because intent is clearer. Ad extensions produce 10 to 20% CTR lift per extension added (sitelinks, callouts, structured snippets, promotions). Position 1 produces 3 to 5x higher CTR than position 4 because visibility matters more than the marginal differences in ad copy. Responsive Search Ads produce 15 to 20% CTR lift compared to legacy Expanded Text Ads. A Quality Score of 10 produces 2x+ higher CTR than a Quality Score of 5 at the same position, partly because Google favors higher-QS ads in position selection.
Display ads. Native-style creative (ads that look like editorial content) produce 2x higher CTR than traditional banner creative. Video creative in display placements produces 1.5x higher CTR than static. Retargeting campaigns produce 3 to 10x higher CTR than prospecting because the audience has pre-existing awareness. Responsive Display Ads produce 50%+ better performance than static image ads due to automated creative optimization.
Video ads. The first 5 seconds determine approximately 70% of view-through-rate outcomes. Vertical video (9:16 aspect ratio) produces 2x higher engagement than horizontal on mobile. Sound-on optimized creative (designed to work with audio playing) produces 1.5x higher CTR than silent-first creative.
Social ads. UGC-style creative (content that looks like user-generated posts) produces roughly 4x higher CTR than polished brand creative. Carousels produce 1.5x higher CTR than single-image ads due to interaction and multiple exposure. Video consistently outperforms static across platforms, averaging 1.3x higher CTR.
What Constitutes a "Good" CTR
Context determines the answer. But a target range for each format makes the benchmarks actionable.
For Google Search on non-brand queries, aim for 3%+. For Google Search on brand queries, aim for 15%+. For Google Display, aim for 0.5%+. For Google Shopping, aim for 1.0%+. For Performance Max, aim for 5%+ blended. For Meta Feed, aim for 1.5%+. For Meta Lead Ads, aim for 2.5%+. For LinkedIn Sponsored Content, aim for 0.6%+. For LinkedIn Thought Leader Ads, aim for 3%+. For email, aim for 3%+ click rate.
The rule of thumb: if you're at the 50th percentile for your industry and format, you're average. If you're below, you likely have a creative or targeting problem. If you're well above but your conversion rate is below median, you have a landing page problem. Use CTR as a diagnostic input, not a goal. Optimizing for CTR alone produces clickbait ads that tank ROAS.
2026 CTR Trendlines to Watch
Five trends will reshape CTR benchmarks between now and 2027.
AI Overviews expansion continues. Google will push more commercial queries into AI answers as the feature matures, pushing paid CTR on affected queries downward. Expect the 47% informational / 13% commercial exposure rates to climb throughout 2026.
Meta's Andromeda ranking system rewards engagement depth rather than just clicks. CTR may stabilize or fall on Meta while CPMs rise, because Andromeda optimizes for post-click behavior the platform can measure.
Performance Max now represents 62% of Google Shopping spend according to Tinuiti. Traditional Shopping CTR benchmarks become less informative as more Shopping traffic flows through PMax blended reporting. Isolated Shopping benchmarks will matter less than blended PMax performance.
LinkedIn Thought Leader Ads are the fastest-growing ad format on LinkedIn and sustain a 2.68% CTR that outperforms standard Sponsored Content by 4 to 6x. Expect significantly more advertiser adoption in 2026, which will likely compress the CTR advantage as the format becomes more saturated.
TikTok CTRs continue rising as targeting improves and the platform's advertising products mature. The creative bar is also rising. Generic creative that worked on TikTok in 2023 doesn't work in 2026. Native, platform-appropriate creative is now table stakes.
CTR Is a Diagnostic, Not a Goal
Chasing CTR in isolation produces clickbait ads with terrible conversion rates and worse ROAS. CTR matters because it tells you whether your ad is compelling to the audience and whether you've matched the right offer to the right intent.
The conversion rate tells you whether the page delivers on what the ad promised. In 2026, with CTRs broadly rising and conversion rates broadly falling, the teams winning paid media are the ones who stopped optimizing for clicks and started optimizing for what happens after the click.
Use these benchmarks to diagnose which quadrant you're in. Then fix the broken variable. If your CTR is below benchmark, the ad needs attention. If your CTR is at or above benchmark but your conversion rate is below, the ad is doing its job. The page is the problem. That's the conversation most marketing teams aren't having yet, and it's the one the 2026 data keeps pointing toward.