A Quality Score component measuring how likely your ad is to be clicked based on historical performance, rated as Above Average, Average, or Below Average.
What is Expected CTR in Google Ads? Expected CTR is a Quality Score component measuring how likely your ad is to be clicked based on historical keyword performance, rated as Above Average, Average, or Below Average. Above Average keywords earn 50-100% lower CPCs than Below Average. It's Google's prediction of performance, separate from your actual measured CTR. Improving expected CTR requires 60-90 days of high actual CTR.
Expected CTR (click-through rate) is a keyword status that measures how likely your ad is to be clicked when shown for that keyword, irrespective of your ad's position, extensions, and other formats. According to Google's Search Ads 360 documentation, "expected clickthrough rate (CTR) is a keyword status that measures how likely it is that your ads will get clicked when shown for that keyword, irrespective of your ad's position, assets and other ad formats that may affect the prominence and visibility of your ads."
Expected CTR is one of three components that determine Quality Score, alongside Ad Relevance and Landing Page Experience. Google predicts your CTR based on historical performance of this specific keyword across all advertisers, normalized for ad position—meaning Google estimates how your ad would perform regardless of whether it shows in position 1 or position 4. This prediction considers your keyword's past performance, your account history, and broader industry CTR patterns. The rating is comparative: "Above Average" means your keyword historically performs better than similar keywords, while "Below Average" indicates underperformance.
Expected CTR directly impacts Quality Score and Ad Rank. Keywords with "Above Average" expected CTR earn higher Quality Scores (often 7-10), resulting in better ad positions at lower costs. "Below Average" expected CTR (often Quality Score 3-5) forces you to bid significantly higher to compete, or risk not showing at all due to Ad Rank thresholds. Importantly, expected CTR focuses solely on the keyword itself—your ad copy quality is evaluated separately under Ad Relevance. A keyword can have great expected CTR but poor overall Quality Score if ad relevance or landing page experience are weak.
Official Source: Definition verified from Google Ads Help Center (Last verified: January 2026)
"Expected clickthrough rate (CTR) is a keyword status that measures how likely it is that your ads will get clicked when shown for that keyword, irrespective of your ad's position, assets and other ad formats that may affect the prominence and visibility of your ads."
A home security company has three keywords: "home security system" (Above Average expected CTR, QS 9), "house alarm installation" (Average expected CTR, QS 6), and "residential security cameras" (Below Average expected CTR, QS 3).
Impact on Ad Rank and CPC: Keyword 1: "home security system" - Expected CTR: Above Average - Quality Score: 9 - Bid needed for position 2: $5 - Ad Rank: $5 × 9 = 45 Keyword 2: "house alarm installation" - Expected CTR: Average - Quality Score: 6 - Bid needed for position 2: $7.50 - Ad Rank: $7.50 × 6 = 45 Keyword 3: "residential security cameras" - Expected CTR: Below Average - Quality Score: 3 - Bid needed for position 2: $15 - Ad Rank: $15 × 3 = 45 Insight: All three keywords achieve the same Ad Rank (position 2), but the Below Average keyword costs 3x more per click than the Above Average keyword. Action: Pause "residential security cameras" or replace with a higher-expected-CTR alternative like "home security cameras near me."
Expected CTR determines whether keywords are profitable or problematic. Keywords with "Below Average" expected CTR require 50-100% higher bids to achieve the same ad positions as "Above Average" keywords, directly impacting CPC and profitability. Example: Keyword A (Above Average expected CTR, QS 9) needs $4 bid for position 2, while Keyword B (Below Average expected CTR, QS 4) needs $9 bid for the same position. Over time, this cost difference compounds—a campaign with mostly Below Average keywords wastes 40-60% more budget than one optimized for Above Average ratings.
Expected CTR also reveals keyword-market fit problems. If your core keywords consistently show Below Average expected CTR despite good actual CTR, it indicates either: (1) The keyword attracts low-intent searches where few people click any ads, or (2) Historical poor performance has damaged the keyword's reputation in Google's system. In both cases, you might achieve better results by shifting to alternative keywords with Above Average expected CTR, even if search volume is slightly lower. Quality beats quantity—10,000 searches with Below Average expected CTR often deliver worse ROI than 5,000 searches with Above Average.
Confusing expected CTR with actual CTR—they're different metrics with different purposes
Assuming you can quickly fix Below Average expected CTR (historical performance means improvement takes weeks/months)
Not checking expected CTR status before adding new keywords (many keywords start Below Average)
Ignoring expected CTR warnings and continuing to bid on poor-performing keywords
Treating all Below Average keywords the same (some are worth fixing, others should be paused)
Check expected CTR status for all keywords monthly—pause keywords stuck at Below Average for 60+ days
Prioritize improving keywords rated "Average" to "Above Average" over fixing "Below Average" (easier wins)
Write ad copy that directly addresses search intent for Below Average keywords to boost actual CTR
Use exact match and phrase match to improve expected CTR versus broad match (better relevance = higher CTR)
Test new ad copy monthly on Below Average keywords—sustained 8%+ actual CTR can eventually improve expected CTR
Consider replacing Below Average keywords with synonyms or related terms that start with better expected CTR
Add negative keywords aggressively to prevent irrelevant searches that drag down actual (and thus expected) CTR
Google's rating (1-10) of your ad's relevance to keywords and landing pages.
The percentage of people who click your ad after seeing it, calculated as clicks divided by impressions.
A Quality Score component measuring how closely your ad matches the user's search intent, rated as Above Average, Average, or Below Average.
A Quality Score component measuring how relevant, useful, and user-friendly your landing page is to people who click your ad.
A score that determines your ad position and whether your ad shows at all, calculated using bid amount, Quality Score, and other auction-time factors.
Expected CTR is Google's prediction of how your ad will perform based on historical data, while actual CTR is your real measured performance. Expected CTR is shown as a status (Above Average, Average, Below Average) and is normalized for ad position—Google estimates your CTR as if your ad always showed in a neutral position. Actual CTR is a percentage calculated from your real impressions and clicks, affected by your actual ad positions. Expected CTR influences Quality Score before your ad even runs; actual CTR is the result after your ad runs. You can have Below Average expected CTR but achieve Above Average actual CTR through excellent ad copy—but improving actual CTR takes time to change expected CTR status since it's based on long-term historical performance.
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