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By Benchmarketing Research Team Reviewed by Performance Marketing Editorial Reviewed March 2026 · observations Q1 2023 – Q4 2024Cross-industry averages · Google Search Ads · 2026
6.11%
Avg CTR, highest-intent format
Legal and Financial Services have the highest CPC due to high customer LTV. Travel and Nonprofit benefit from lower CPCs. SaaS and Real Estate have the highest CPA due to long sales cycles.
| Industry | CTR | CPC | CVR | CPA |
|---|---|---|---|---|
| Home Services | 4.28% | $6.29 | 7.98% | $66.02 |
| Legal | 3.84% | $8.67 | 6.98% | $73.70 |
| Automotive | 4.00% | $2.27 | 6.03% | $43.84 |
| Financial Services | 2.91% | $7.15 | 5.10% | $81.93 |
| Healthcare | 3.27% | $3.62 | 3.36% | $78.09 |
| Education | 3.58% | $3.72 | 3.39% | $72.70 |
| Ecommerce | 2.69% | $1.16 | 2.81% | $45.27 |
| SaaS | 2.09% | $5.66 | 2.92% | $137.21 |
| Real Estate | 3.71% | $2.88 | 2.47% | $116.61 |
| B2B Services | 2.41% | $4.05 | 3.04% | $108.40 |
| Nonprofit | 4.17% | $1.03 | 4.41% | $31.22 |
| Travel | 4.68% | $0.91 | 3.20% | $48.60 |
Source: WordStream 2024. Data reflects Google Search campaigns only.
| Metric | Search | Shopping | Display | PMax |
|---|---|---|---|---|
| CTR | 6.11% | 1.35% | 0.10% | varies |
| CPC | $4.22 | $0.89 | $0.63 | $1.80–$4.50 |
| CVR | 7.04% | 1.91% | 0.57% | 4.80% |
| Intent | High | High | Low | Mixed |
Search leads on CTR and CVR because ads surface only when users are actively querying for your product or service. Display trades intent for volume. Shopping competes on visual product presentation at a fraction of the CPC.
Intent capture: users are actively searching
Search ads appear when users type queries with clear purchase or research intent. This makes Search the highest-converting ad format - you are not interrupting; you are answering. Intent quality is why Search CVR (7.04%) dwarfs Display (0.57%).
Auction mechanics determine cost and position
Google Ads runs a second-price auction every query. Your Ad Rank (Max CPC × Quality Score × Expected Impact of Extensions) determines position. You pay $0.01 more than the bidder below you, not your max bid. This means Quality Score improvements directly reduce CPC without reducing position.
Quality Score compounds your advantage
Quality Score (1–10) is calculated from expected CTR, ad relevance, and landing page experience. A QS of 8 vs. 4 can halve your effective CPC. High QS advertisers pay less for the same position - building QS through tight ad group structure is the highest-leverage optimization in Search.
Keyword match types control volume vs. precision
Exact match (most precise, lowest volume) delivers highest CTR and CVR. Phrase match balances reach and relevance. Broad match (with Smart Bidding) captures incremental volume but at lower intent. Most accounts over-rely on broad - moving budget toward exact/phrase match consistently improves efficiency.
Intent-relevance first. Bid mechanics second. Scale third.
Group keywords by intent tier, not just topic
Separate branded, competitor, and generic non-branded keywords into distinct campaigns. Within each campaign, group ad groups by tightly themed keyword clusters (5–15 keywords per group). This allows per-group bid strategies and highly relevant ad copy, which improves QS and reduces CPA.
Write ads with DKI or responsive ad formats
Dynamic Keyword Insertion (DKI) automatically inserts the matching keyword into your headline, boosting ad-to-query relevance and CTR. Responsive Search Ads (RSAs) let Google test headline and description combinations - provide 8–10 strong headline variants and 3–4 descriptions, and let machine learning find the best combinations.
Use exact and phrase match over broad match
Broad match with Smart Bidding can deliver incremental volume, but it introduces irrelevant traffic. Start campaigns with exact and phrase match to establish a baseline CPA. Only introduce broad match after you have 50+ conversions/month and clear negative keyword lists from the Search Terms report.
Add callout and sitelink extensions to every campaign
Ad extensions improve CTR by expanding ad size and providing additional value propositions. Sitelinks (4–6 per campaign) and callouts (4–6 per campaign) are table stakes. Location extensions, call extensions, and structured snippets add additional signals. Extensions are free - they only cost money if clicked.
Bid by device with CPC adjustments
Mobile conversion rates are typically 40–60% lower than desktop for lead-gen and B2B. Set device bid adjustments based on your actual device CVR data: reduce mobile bids by 20–40% if mobile CPA is consistently higher. For ecommerce, mobile/desktop parity is more common - review your own data before adjusting.
The cross-industry median CTR for Google Search is 6.11%. Travel (4.68%) and Home Services (4.28%) trend higher; SaaS (2.09%) and B2B (2.41%) trend lower due to longer buying cycles and niche audiences. A CTR above your industry median with a corresponding CVR above median is the target - high CTR with low CVR indicates creative-landing page mismatch.
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These benchmarks are drawn from a multi-source benchmark cohort aggregated across industries and regions, covering the period Q1 2023 – Q4 2024. Figures on this page come from the Benchmarketing benchmark dataset: thousands of curated benchmark observations spanning channels, industries, and US metro areas, refreshed on a published schedule. Every statistic traces to a named source — no anonymous “studies show.” Data is sourced from:
The Benchmarketing 4-Band Method reads every marketing metric against four percentile bands — P25 (bottom quartile), median, P75 (top quartile), and elite (top ~10%) — for a specific industry and channel, instead of a single cross-industry average. Averages blend brand and non-brand campaigns, $500/month and $500,000/month accounts, and unrelated industries into a number almost nobody actually has.
Benchmarks reflect median values across large sample sets. Your industry, business model, and account maturity will cause variation. Use P25/P75 ranges to understand realistic distribution.
Read full methodologyWritten by
Benchmarketing Research Team
Data & Analytics
Reviewed by
Performance Marketing Editorial
Senior Review
Last updated
Reviewed March 2026
Observation period: Q1 2023 – Q4 2024
Google Ads Benchmarks
Full channel overview
Google Ads Campaign Types
Search, PMax, Shopping, and remarketing hierarchy
Brand Search Benchmarks
Demand-capture and defense benchmarks
Brand Defense Benchmarks
Impression-share and overlap benchmarks
Brand Defense Impression Share
Lost-IS and branded coverage benchmarks
Lost-to-Rank Brand Defense
Ad Rank leakage benchmarks on brand terms
Competitor-Pressured Brand Rank Loss
Scenario benchmarks for crowded branded auctions
Reseller Auction Pressure
Playbook benchmarks for partner-crowded brand auctions
Marketplace Seller Pressure
Operator benchmarks for marketplace-heavy brand overlap
Price-Cut Marketplace Sellers
Precision benchmarks for discount-led marketplace overlap
Coupon-Code Marketplace Sellers
Micro benchmarks for promo-led reseller overlap
Non-Brand Search Benchmarks
Net-new demand acquisition benchmarks
Transactional Non-Brand
Bottom-funnel generic query benchmarks
Quote-Term Search
Estimate and pricing-intent query benchmarks
Phone-Call Quote Queries
Call-first quote-intent search benchmarks
After-Hours Quote Calls
Off-hours phone-intent quote benchmarks
Live Answering Coverage
Playbook benchmarks for staffed off-hours call pickup
On-Call Dispatch Coverage
Operator benchmarks for routed after-hours calls
Emergency Routing Dispatch
Precision benchmarks for true emergency call triage
Immediate ETA Dispatch
Micro benchmarks for near-term arrival routing promises
Competitor Search Benchmarks
Conquest and comparison-query benchmarks
Versus-Term Search
Alternative and comparison-query benchmarks
Migration-Intent Search
Switch and replace query benchmarks
Switch-Offer Search
Migration incentive query benchmarks
Migration Credit Queries
Incentive-led switching search benchmarks
Platform Switcher Credits
Playbook benchmarks for credit-led replacement demand
Contract Buyout Offers
Operator benchmarks for termination-fee relief search demand
Termination-Fee Coverage
Precision benchmarks for explicit contract-exit relief
Cancellation-Fee Reimbursement
Micro benchmarks for explicit exit-fee repayment offers
Google Ads Creative Types
RSA and asset-system benchmark layer
CTR Benchmark
Click-through rate data
Responsive Search Ads
Ad-copy and asset-combination benchmarks
Google Shopping Benchmarks
PLA campaign comparison
Performance Max Benchmarks
PMax vs. Search data