How to Read a Google Ads Search Terms Report (And Save Money)

What Is the Search Terms Report?

The search terms report in Google Ads shows the actual queries people typed into Google before clicking your ad. It's different from your keyword list — keywords are what you target, search terms are what users actually search.

This report is the single most valuable tool for reducing wasted ad spend. On average, 20–30% of ad spend goes to irrelevant search terms in accounts that don't regularly review this report.

How to Access the Search Terms Report

1. Sign in to Google Ads 2. Navigate to Campaigns → Select a campaign 3. Click Insights and reports → Search terms 4. Set your date range (last 30 days is a good starting point) 5. Sort by Cost (descending) to see where money is going

How to Read the Report

The search terms report shows these key columns:

| Column | What It Tells You | |--------|------------------| | Search term | The actual query the user typed | | Match type | How the keyword matched (exact, phrase, broad) | | Clicks | How many people clicked | | Impressions | How many times your ad appeared | | CTR | Click-through rate for that term | | Cost | How much you spent on that term | | Conversions | How many conversions that term generated | | Conv. rate | Percentage of clicks that converted | | Cost/conv. | Cost per conversion for that term |

5-Step Analysis Framework

Step 1: Find High-Cost, Zero-Conversion Terms

Sort by cost (highest first) and filter for zero conversions. These are your biggest money wasters.

Action: Add these as negative keywords immediately.

Example findings:

Spending $200 on "free CRM software" → Add "free" as negative keyword
Spending $150 on "CRM developer jobs" → Add "jobs" as negative keyword
Spending $100 on "what is CRM" → Add as negative (informational intent, not buying intent)

Step 2: Find Low-Quality Broad Match Expansions

If you use broad match keywords, Google shows your ads for related searches that may not be relevant.

Your keyword: `CRM software` Google might match:

"CRM software reviews" ✅ Good — high intent
"CRM software free download" ❌ Bad — freebie seekers
"what does CRM stand for" ❌ Bad — informational only
"CRM developer salary" ❌ Bad — job seekers

Action: Add irrelevant expansions as negative keywords. Consider switching to phrase or exact match for expensive keywords.

Step 3: Discover New Keyword Opportunities

The search terms report also reveals valuable keywords you haven't explicitly targeted.

Look for:

Search terms with high conversion rates that you don't have as keywords
Long-tail variations of your existing keywords
Competitor brand terms people search before clicking your ad
Feature-specific searches you haven't targeted

Action: Add high-performing search terms as new keywords in relevant ad groups.

Step 4: Identify Match Type Issues

Compare how your keywords match to actual searches:

Too broad: Your exact match keyword "CRM" matches "CRM project manager" → tighten targeting
Missing volume: Your exact match "[best CRM for startups]" gets 5 impressions/month → test phrase match
Cannibalization: Multiple keywords matching the same search terms → consolidate

Step 5: Analyze Geographic and Device Patterns

Cross-reference search terms with:

Location: Are specific terms popular in certain regions?
Device: Do mobile users search differently than desktop?
Time: Do search patterns change by day or hour?

Building Your Negative Keyword List

Based on your search terms analysis, build organized negative keyword lists:

Universal Negatives (Add to All Campaigns)

``` free cheap DIY tutorial how to (if not relevant) jobs careers hiring salary reddit youtube ```

Industry-Specific Negatives

Create separate negative keyword lists for:

Competitor terms you don't want to bid on
Product features you don't offer
Geographic areas you don't serve
Customer segments you don't target (enterprise vs SMB)

Negative Keyword Match Types

Broad match negative: Blocks any search containing the word
Phrase match negative: Blocks searches containing the exact phrase
Exact match negative: Blocks only the exact search term

Pro tip: Use broad match negatives for clearly irrelevant terms ("free," "jobs"). Use exact match negatives when you only want to block specific queries but allow related ones.

How Often to Review Search Terms

| Account Size | Review Frequency | Time Required | |-------------|-----------------|---------------| | < $1,000/month | Bi-weekly | 15–20 minutes | | $1,000–5,000/month | Weekly | 20–30 minutes | | $5,000–20,000/month | 2x per week | 30–45 minutes | | $20,000+/month | Daily | 30–60 minutes |

The "Hidden" Search Terms Problem

Since September 2020, Google no longer shows all search terms — only those that met a "significant" number of users' searches. This means 20–30% of your search term data is hidden.

This makes automated monitoring even more critical. While you can't see every search term, you CAN monitor:

Overall campaign performance trends
CPA and ROAS at the campaign level
Sudden changes in cost efficiency

Tools like Ads Anomaly Guard detect when hidden search terms are degrading performance by monitoring aggregate metrics — alerting you when CPA rises or conversion rates drop, even if you can't see the specific terms causing it.

Real-World Impact

A typical search terms review reveals:

15–25% of spend going to irrelevant terms in unoptimized accounts
5–10 new keyword opportunities per review
10–15% CPA improvement within the first month of regular reviews
3–5x ROI improvement over 6 months of consistent optimization

Frequently Asked Questions

Why can't I see all my search terms? Google hides search terms that had too few impressions for "privacy reasons." This affects roughly 20–30% of terms. Focus on high-volume terms you can see.

How many negative keywords should I have? There's no magic number, but well-optimized accounts typically have 100–500 negative keywords. Quality matters more than quantity.

Should I add every irrelevant search term as a negative? Focus on terms that cost money (have clicks). A term with 2 impressions and 0 clicks isn't worth adding — it's self-filtering.

What's the difference between search terms and keywords? Keywords are what you bid on. Search terms are what users actually type. Your keyword "running shoes" might match the search term "best running shoes for flat feet 2026."

Can I automate negative keyword additions? Partially. Google's automated recommendations suggest some negatives, but they're often too aggressive or too conservative. Manual review remains essential, supplemented by automated monitoring for performance anomalies.