How to Fix Low Expected CTR in Google Ads: A Step-by-Step Guide

TL;DR: Low expected CTR is a Quality Score component that signals Google thinks your ad is unlikely to get clicked for a given keyword. It drags down your Quality Score, raises your CPCs, and hurts your ad rank. This guide walks you through exactly how to diagnose and fix it, step by step: identify problem keywords, rewrite ad copy for relevance, tighten ad group structure, add negative keywords, adjust match types, and monitor for improvement.

If you've opened your Google Ads account and spotted "Below average" next to Expected CTR, you're not alone. It's one of the most common Quality Score issues advertisers run into, and it's also one of the most fixable.

The problem usually comes down to a mismatch between your keywords, your ad copy, or how broadly you're casting your targeting net. Once you know where to look, the fixes are pretty straightforward. In most accounts I audit, the same handful of issues keep showing up: generic headlines that don't reflect the keyword, ad groups stuffed with loosely related terms sharing one set of ads, and broad match keywords triggering searches that have no business seeing your ad.

What usually happens is advertisers focus on actual CTR (your live performance number) and miss the expected CTR signal entirely. These are different metrics. Expected CTR is Google's forward-looking prediction based on historical auction data for that keyword. It's telling you what Google thinks will happen, not just what has happened. If it's below average, Google is essentially penalizing you in every auction that keyword enters.

This guide covers how to identify which keywords are dragging your score down, how to rewrite ads that match search intent, how to tighten your keyword-to-ad group structure, and how to use negative keywords to stop bleeding impressions on irrelevant searches. Whether you're a freelancer managing a single client account or an agency juggling dozens of campaigns, this process applies the same way. By the end, you'll have a repeatable workflow you can run on any campaign showing low expected CTR.

Step 1: Identify Which Keywords Have Below Average Expected CTR

Before you can fix anything, you need to know exactly which keywords are the problem. This sounds obvious, but a lot of advertisers skip straight to rewriting ads without first isolating where the issue actually lives.

Start by navigating to the Keywords tab in your Google Ads account. By default, Quality Score columns aren't visible, so you'll need to add them manually. Click the columns icon, go to "Modify columns," and add the following under the Quality Score section:

Quality Score: Your overall score from 1 to 10.

Expected CTR: The specific component you're fixing — rated Above average, Average, or Below average.

Ad Relevance: Useful context for understanding whether the copy is the issue.

Landing Page Experience: Helps you rule out whether a different problem is pulling down the overall score.

Once those columns are visible, apply a filter: Expected CTR = Below average. This isolates exactly the keywords you need to work on.

Now look at the results grouped by ad group. Patterns matter here. If you see five keywords in the same ad group all flagged as below average, that's a structural problem with the ad group itself. If it's one isolated keyword in an otherwise healthy campaign, that's a different fix.

Check impression volume alongside the CTR status. A high-impression keyword with below average expected CTR is costing you significantly more than a low-impression one. Prioritize by spend and impression share first. Don't burn time optimizing a keyword that gets 20 impressions a month when another one is running thousands of impressions at inflated CPCs.

One common pitfall here: don't confuse actual CTR with expected CTR. You might have a keyword with a solid 5% actual CTR that still shows "Below average" for expected CTR. That's because expected CTR is based on Google's historical data for that keyword across all advertisers, not just your account's recent performance. They're diagnosed differently.

Export your filtered list or note the affected keywords grouped by ad group before moving to the next step. You'll reference this list throughout the rest of the process.

Step 2: Audit Your Ad Copy for Keyword-to-Ad Relevance

This is where most of the fixes live. Ad copy relevance is the most direct lever you have on expected CTR, and it's the one that gets neglected most often.

Pull up the ads running in each ad group flagged in Step 1. For each ad group, ask one question: does the primary keyword appear in Headline 1 or Headline 2? Google weights this heavily when predicting click-through likelihood. If your headline doesn't reflect what someone just typed, there's no signal that your ad is the right answer to their query.

Look for generic headline patterns. Things like "Get Started Today," "Learn More," "Professional Services," or "We're Here to Help" are filler. They don't match any specific search intent, and they tell Google's algorithm very little about relevance. These patterns are almost always associated with below average expected CTR.

Here's a real example of what this mismatch looks like in practice. A keyword like "emergency plumber London" paired with an ad headline reading "Professional Plumbing Services" is a relevance miss. The searcher has urgent intent. They need someone available now, in their city. An ad reading "Emergency Plumber in London – Available 24/7" directly mirrors that intent and will consistently outperform the generic version.

For Responsive Search Ads, use the pinning feature strategically. Pin your primary keyword or a close variant to Headline 1 so it always appears. Then write at least three additional headline variants that reflect different angles of the same keyword theme: urgency, location, service specifics, price point. RSAs give Google room to find the best combination, but only if you give them enough relevant raw material to work with.

Check your description lines too. They should reinforce the keyword's intent, not just list features. If someone searches "project management software for remote teams," your description should speak to remote team workflows, not just bullet your feature list. The description won't directly fix expected CTR on its own, but it supports overall ad quality and actual click behavior, which feeds back into Google's predictions over time.

The mistake most agencies make here is writing one set of ads and applying them across an entire campaign. Each ad group should have copy written specifically for its keyword theme. If you're reusing the same headlines across five ad groups with different intents, you're almost certainly leaving expected CTR improvements on the table.

Step 3: Restructure Ad Groups Around Tighter Keyword Themes

One of the most common causes of low expected CTR is over-stuffed ad groups. You've got ten keywords in one group, they span three different intents, and they're all sharing the same set of ads. Google can't find a strong relevance signal, and your expected CTR suffers for it.

Audit each flagged ad group and ask: do all these keywords share the same search intent? If not, split them.

Take an e-commerce example. "Running shoes," "best running shoes for flat feet," and "cheap running shoes" all sit in the same product category, but they represent very different buyer intent. Someone searching "best running shoes for flat feet" wants detailed, specific guidance. Someone searching "cheap running shoes" is price-driven. Serving them the same generic ad guarantees a relevance mismatch for at least two of those three searchers.

The approach that works best for high-value terms is either Single Keyword Ad Groups (SKAGs) or tightly themed ad groups with two to five closely related keywords. SKAGs give you maximum control over ad copy relevance, which directly improves expected CTR because Google sees near-perfect alignment between the keyword and the ad. The tradeoff is account complexity, so reserve this approach for your highest-spend, highest-intent terms.

When you restructure, write new ad copy specifically for each tighter theme. This is non-negotiable. There's no point splitting ad groups if you're going to paste in the same headlines.

Before you start manually grouping keywords, use keyword clustering to identify which terms are semantically similar. This saves time and prevents you from creating fifty ad groups when twenty would do the job. Cluster by intent first (informational vs. commercial vs. transactional), then by topic within each intent tier. Tools that handle keyword clustering directly inside your workflow make this significantly faster than doing it in a spreadsheet.

One thing worth flagging: restructuring ad groups resets some of the historical data Google has accumulated. Expect a short adjustment period before Quality Score signals stabilize. That's normal and worth it for the long-term improvement.

Step 4: Add Negative Keywords to Filter Irrelevant Impressions

Here's something that doesn't get talked about enough: low expected CTR is often a symptom of your keywords triggering irrelevant searches. Every time your ad shows for a search that's a poor match and doesn't get clicked, Google's algorithm registers that signal. Over time, those low-CTR impressions accumulate and pull your expected CTR prediction downward. Negative keywords are a direct lever to stop this.

Go to your Search Terms Report. Look for search queries that don't match your offer, your audience, or the intent you're targeting. Common culprits include:

Informational queries triggering commercial ads: Someone searching "how does project management software work" is probably not ready to buy. If you're bidding on "project management software," this query can trigger your ad and generate a low-CTR impression.

Free or student modifiers: A B2B software company bidding on "project management tool" might be triggering searches like "free project management tool for students." Adding "free" and "students" as negatives immediately cleans up the targeting and stops wasting impressions on audiences that will never convert.

Competitor brand terms: If you're not running a dedicated competitor campaign with tailored messaging, competitor brand searches triggering your generic ads will almost always underperform on CTR. Learn how to prevent competitor terms from showing up in your campaigns.

Unrelated product categories: Broad match especially has a habit of pulling in tangentially related searches that share a word but not an intent.

Add negatives at the ad group level when the irrelevant query is specific to one theme, and at the campaign level when it applies broadly. Build a campaign-level negative keyword list for terms you never want triggering any ad in that campaign.

When a campaign is new, run this search term audit weekly. You'll catch irrelevant queries fast before they accumulate enough impressions to meaningfully drag down expected CTR. Once the campaign stabilizes after a few months, monthly audits are usually sufficient.

This is one of the most repetitive but highest-impact tasks in PPC management, and it's also one of the most time-consuming when done manually in the native interface. Understanding how to identify low intent search terms makes this audit significantly faster and more effective.

Step 5: Review and Adjust Keyword Match Types

Broad match keywords are the single most common source of low expected CTR in the accounts I review. They cast a wide net by design, and without a strong negative keyword list backing them up, they routinely trigger searches that have no strong alignment with your ad copy.

Go back to your list of below-average expected CTR keywords from Step 1 and check their match types. If you're seeing broad match keywords with no robust negative list attached, that's almost certainly contributing to the problem. The irrelevant impressions they generate train Google's prediction model to expect low click rates for those keywords.

For your highest-value terms, consider switching from broad to phrase or exact match. This directly improves expected CTR because your ads will only show for searches closely aligned with the keyword you're bidding on. Google sees better alignment, click rates improve, and the expected CTR prediction follows. See how improving CTR with exact match can sharpen your targeting and lift Quality Score.

The right approach isn't to abandon broad match entirely. Broad match is genuinely useful for discovery: finding search terms you wouldn't have thought to bid on, identifying new keyword opportunities, and expanding reach in a controlled way. The key word there is controlled. Use broad match with a strong negative keyword list, monitor the search terms report regularly, and when you find high-performing queries coming through broad match, promote them to phrase or exact match as standalone keywords.

Think of broad match as your discovery layer and phrase/exact as your performance layer. Queries that prove themselves in broad match earn their own tightly themed ad group with copy written specifically for them. This is how you build a keyword portfolio that consistently improves expected CTR over time rather than letting it drift.

One practical tip: when you switch a keyword from broad to phrase or exact match, pause the broad version rather than deleting it. This preserves the historical data and lets you compare performance cleanly.

Step 6: Test New Ad Variations and Monitor Expected CTR Over Time

You've made changes to ad copy, restructured ad groups, added negatives, and tightened match types. Now comes the part most advertisers underestimate: waiting.

Expected CTR doesn't update instantly. Google recalculates it based on new auction data, and that takes time to accumulate. In most cases, you're looking at two to four weeks before changes to ad copy and structure show measurable improvement in the Quality Score columns. Don't make the mistake of tweaking things again after one week because the numbers haven't moved yet. Give your changes time to breathe.

While you're waiting, set up a simple tracking log. Each week, note the Quality Score, Expected CTR, Ad Relevance, and Landing Page Experience for your key keywords. Track them separately rather than just looking at the overall Quality Score, because each component can move independently. You might see Ad Relevance improve quickly while Expected CTR takes longer to catch up.

Use RSA asset reporting to understand which headlines and descriptions are getting the most impressions and clicks. If a headline variant is being served frequently and generating clicks, that's a positive signal. If certain assets are being marked as "Low" in performance ratings, swap them out for new variants that more directly reflect the keyword's intent.

If expected CTR is still showing as below average after four weeks, go back to your ad copy. Check whether your headline actually includes the keyword or a close variant. Then check your landing page experience score: a poor landing page experience score won't directly cause low expected CTR, but it can suppress overall Quality Score and indicate broader relevance issues that affect how Google evaluates your ads.

If a keyword remains at below average expected CTR after two full optimization rounds, consider pausing it. Some keywords are structurally difficult to win on with a given landing page or offer, and continuing to run them means paying inflated CPCs for poor placements. That budget is better directed toward terms where you can build a strong relevance signal.

The success indicator you're looking for: Expected CTR moves from "Below average" to "Average" or "Above average." When that happens, you'll typically see CPCs decrease and ad rank improve without needing to increase bids. That's the compounding benefit of Quality Score optimization: better placement at lower cost.

Your Low Expected CTR Fix Checklist

Here's a quick-reference summary of everything covered in this guide. Run through this checklist on any campaign showing below average expected CTR:

Step 1 — Identify problem keywords: Add Quality Score columns to the Keywords tab. Filter by Expected CTR = Below average. Group by ad group and prioritize by impression volume and spend.

Step 2 — Audit ad copy relevance: Check that Headline 1 or 2 contains the primary keyword. Replace generic headlines with intent-specific copy. Write at least three headline variants per ad group for RSAs.

Step 3 — Tighten ad group structure: Split ad groups with multiple intents into tighter themes. Use SKAGs or 2-5 keyword themed groups for high-value terms. Write new copy for each restructured group.

Step 4 — Add negative keywords: Review the Search Terms Report for irrelevant queries. Add negatives at the ad group or campaign level. Run weekly when campaigns are new, monthly once stable.

Step 5 — Review match types: Identify broad match keywords without strong negative lists. Switch high-value terms to phrase or exact match. Keep broad match for discovery with close monitoring.

Step 6 — Monitor and iterate: Allow 2-4 weeks for changes to reflect in Quality Score columns. Track components separately each week. Pause keywords that remain below average after two optimization rounds.

This is a repeatable process. Run it quarterly on all active campaigns, and you'll catch expected CTR issues before they compound into significant wasted spend.

The most time-consuming parts of this workflow are Steps 4 and 5: reviewing search terms, identifying junk queries, adding negatives, and adjusting match types. If you're managing multiple accounts or campaigns, that manual work adds up fast. Start your free 7-day trial of Keywordme to handle search term cleanup, negative keyword management, and match type adjustments directly inside Google Ads, without switching tabs or touching a spreadsheet. It's built specifically for this kind of optimization work, and at $12/month per user, it pays for itself quickly when you're running accounts at any real scale.