How to Read a Google Ads Search Terms Report and Cut Wasted Spend (Step-by-Step)

Why This Report Is the Most Underused Lever in Google Ads

Most small business owners check Google Ads the same way: glance at spend, glance at clicks, worry a little, close the tab. The search terms report is where the real story lives — and most people never open it.

Here's the gap it exposes: your keywords tell Google what category to aim at. The search terms report tells you what actual people typed before clicking your ad. Those two things are often shockingly different.

Google's own broad and phrase match settings are designed to expand your reach — which is sometimes useful and sometimes means you're paying for clicks from people who will never buy from you. According to Google, broad match keywords can trigger ads for searches that are "related" to your keyword, which in practice can mean tangentially related at best.

The goal of this teardown: give you a repeatable 20-minute audit process you can run every two to four weeks to stop paying for the wrong traffic.

Step 1 — Find the Report (It's Not Where You Think)

In Google Ads, navigate to:

Campaigns → [your campaign] → Keywords → Search Terms

Or use the left-hand nav: Keywords & targeting → Search terms.

Before you touch anything, set your date range to the last 30–60 days. Fewer than 30 days gives you too little data to spot patterns; more than 90 days mixes in old behavior that may no longer reflect your current targeting.

You'll see a table. Here are the columns that matter and what they tell you:

| Column | What to look for | |---|---| | Search term | The exact phrase a real person typed | | Match type | How your keyword triggered this term | | Clicks | Traffic volume from this term | | Impressions | How often the ad showed | | CTR | Low CTR on high-impression terms = poor relevance signal | | Conversions | The most important column | | Cost | What you actually paid for this term | | Conv. value / cost (ROAS) | Only visible if you track revenue — use it if you can |

Add the Conversions and Cost columns if they aren't showing. Click the columns icon (top right of the table) and enable them. You cannot make good decisions without these two together.

Step 2 — Spot the Three Patterns That Signal Wasted Spend

Run your eyes down the table and tag every row that matches one of these three patterns:

Pattern 1: Spend with zero conversions Any search term that has eaten meaningful spend — as a rough rule of thumb, more than one to two times your target cost-per-conversion — and returned zero conversions is a candidate for a negative keyword. Not every single-click term warrants action, but a term with 8 clicks, $60 spent, and 0 conversions is telling you something.

Pattern 2: Irrelevant intent Scan the actual search phrases. You're looking for:

• Geographic mismatches ("[your service] in [city you don't serve]")
• Informational queries ("how to fix my own HVAC," "DIY plumbing tutorial") — people researching, not buying
• Brand/competitor names you didn't intend to target
• Job seekers ("[your trade] jobs near me")

These are intent mismatches. The person was never going to become a customer regardless of your ad copy.

Pattern 3: High ROAS terms hiding in the noise This is the positive flip side — look for search terms with strong conversion rates or revenue that you're not explicitly bidding on. These are candidates to promote into their own exact-match keywords with dedicated bids and ad copy. Our article "What a 30% Ad Budget Cut Does to Local Lead Volume" covers why concentrating spend on proven terms often beats spreading budget thin — the same logic applies here.

Step 3 — Build Your Negative Keyword List (The Right Way)

Once you've tagged problem terms, here's how to act on them:

In-platform negatives (fastest option): Check the box next to any bad search term → click "Add as negative keyword" → choose campaign-level or ad group-level.

• Use campaign-level for terms that are irrelevant to your entire business ("DIY," "free," "jobs," wrong cities).
• Use ad group-level for terms that are wrong for this ad group but might be fine elsewhere.

Match type for negatives: For most small accounts, use negative exact match for specific bad phrases and negative phrase match for root words you want to block across variations (e.g., negative phrase "free" blocks "free AC repair," "free quote plumber," etc.).

Build a running negative keyword list in a spreadsheet. Every audit session, add to it. A well-maintained negative keyword list is one of the most compounding assets in a paid search account — it gets more valuable every month.

One practical model: If your average cost-per-click is $4 (illustrative) and you're blocking 50 irrelevant clicks per month, that's roughly $200/month redirected to qualified traffic. Over a year, that compounds into a meaningfully different account.

Step 4 — Fix Match Types for Chronic Offenders

If you keep seeing off-topic search terms triggering the same keyword, the negative keyword is the band-aid — the match type is the root cause.

The quick decision tree:

• Broad match triggering irrelevant terms repeatedly → Downgrade to phrase match or exact match
• Phrase match still generating some waste but mostly relevant → Add targeted negatives and monitor
• Exact match generating waste → Something unusual is happening; check your keyword itself

For most local service businesses (plumbers, dentists, contractors, salons), a phrase + exact match strategy with a tight negative list outperforms broad match in spend efficiency — even if broad match drives more raw volume. Volume without conversion intent is just noise.

For a deeper look at how tracking the right conversion signals affects these decisions, see our article "Call vs. Form Tracking: Which Signal Gives You Real ROAS?" — because if you're optimizing match types but tracking the wrong conversion events, you're optimizing against yourself.

Step 5 — The 20-Minute Audit Cadence

This doesn't have to be a project. Here's a repeatable routine:

1. Open the report. Set date range: last 30 days. 2. Sort by Cost, descending. Start at the top — highest-spend terms first. 3. Flag zero-conversion terms above your cost threshold. 4. Scan for intent mismatches in the search term text. 5. Spot any high-converting terms not yet in your exact-match keyword list. 6. Add negatives. Either in-platform or to your master spreadsheet for bulk upload. 7. Note any match-type changes needed and make them in the Keywords tab.

Do this every two to four weeks for new campaigns, every four to six weeks for stable ones. The payoff compounds — budget that was leaking to irrelevant terms gets redirected to people who actually convert.

This also feeds directly into smarter budget allocation decisions. If you're thinking about how to split spend between finding new customers and re-engaging past visitors, our article "Retargeting vs Prospecting Budget Split for Local Businesses" applies the same data-first logic to a different layer of your account.

The Bottom Line — Data Before Decisions

The search terms report is not a technical report for agency insiders. It's a plain-language record of what real people typed before clicking your ad and costing you money. Reading it regularly is one of the simplest, highest-leverage habits a small business owner can build.

The framework in summary: 1. Open the report with 30–60 days of data 2. Enable Cost and Conversions columns 3. Flag: high spend + zero conversions, irrelevant intent, and hidden winners 4. Act: add negatives at the right level, fix match types at the source 5. Repeat on a cadence

No proprietary tools required. No agency speak. Just a table and a process.

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Want someone to run this audit on your account and show you exactly what's leaking? Book a call with the Nika Spark team — we'll pull the data and walk you through the findings before you commit to anything.