Google Ads Search Terms: How to Read the Report Like a Senior Account Manager
The Google Ads search terms report reveals where budget leaks and where hidden winners live. Here is the diagnostic approach.
A dental practice spending $11,000 per month on Google Ads, targeting “dental implants” and related terms. The campaigns looked healthy. CPA was under target. Volume was steady.
Then someone pulled the Google Ads search terms report and sorted by spend. “Dental school requirements.” “Dental assistant salary.” “Cheap dentures near me.” “How to become a dentist.” Google was matching the keyword “dental implants” to every query containing the word “dental.” The report revealed that Google saw “dental” as the signal, not “dental implants for patients seeking treatment.”
Across all campaigns, $5,200 per month was flowing to search terms with zero chance of producing a patient. That is 47% of total budget. Not from one bad keyword, but from hundreds of low spend terms that individually looked harmless.
The Google Ads search terms report is the most underused diagnostic tool in the platform. Here is how to read it the way a senior account manager does.
What the Google Ads search terms report actually tells you
The report shows what people actually typed before clicking your ad. Not what you targeted. What Google matched. That distinction matters because Google’s matching logic has expanded significantly. Even phrase match now captures intent variants that the original keyword would not have covered five years ago. Exact match allows close variants, synonyms, and reworded queries.
This means the search terms report is really a signal about what Google thinks your business sells. When you see terms about dental careers in a dental implant campaign, Google is telling you your targeting is too broad or your negative keyword coverage is too thin. Each pattern points to a different root cause. Reading the report without categorizing is like reading lab results without knowing the reference ranges. This categorization feeds into the broader diagnostic framework for finding wasted spend across an entire account.
The four categories of non converting search terms
Every non converting search term falls into one of four groups. Categorizing before acting prevents both over-cutting (removing terms that could convert with a better landing page) and under-cutting (leaving waste that compounds weekly).
Here is what each category looked like in the dental practice account.
Competitor and brand names. “Aspen Dental near me,” “Smile Direct Club reviews,” “ClearChoice dental implants cost.” 45 terms in 30 days, $1,200 per month combined. These are people looking for specific competitors. Unless you are running a deliberate conquest strategy, this is budget going to patients who already chose someone else. The fix is an account level negative keyword list for competitor brands.
Irrelevant and off topic. “Dental school requirements,” “dental hygienist salary,” “how to become a dentist,” “dental assistant certification programs.” 120 terms, $2,400 per month. The words overlap with the business but the intent is completely unrelated. No one searching for dental assistant salary is booking an implant consultation. These are the most obviously wasteful terms but they accumulate silently because each one spends $5 to $30 individually.
Informational and low intent. “How much do dental implants cost,” “dental implant pain,” “are dental implants worth it,” “dental implant recovery time.” 80 terms, $1,600 per month. These people are researching, not booking. They may become patients eventually, but they are waste when sitting inside campaigns optimized for consultation bookings. They belong in a separate awareness campaign with lower bids and educational landing pages, or they need to be excluded entirely.
Relevant but not converting. “Dental implants downtown,” “implant dentist accepting new patients,” “All on 4 dental implants consultation.” 30 terms, $800 per month. These match the practice perfectly. Do not add them as negatives. The issue is downstream: the landing page, the phone number visibility, the form length, or simply not enough data yet. Investigate the conversion path before cutting terms that are reaching exactly the right patients.
Total waste across the first three categories: $5,200 per month on an $11,000 account.
Threshold guidance: when a Google Ads search term needs action
Not every non converting term is waste. The question is when a term has enough data to act on.
Individual term threshold. Any single search term that spent more than 1x your target CPA with zero conversions. For the dental practice with a $150 target CPA per consultation, any term above $150 with no booking is a clear candidate for a negative keyword. Below that amount, the term may not have had enough impressions to convert.
Aggregate category threshold. Groups of similar terms that individually spend $5 to $20 each but collectively exceed 5% of monthly budget. No single term triggers a review. The category does. The 120 irrelevant dental career terms spent $2,400 combined. Individually invisible. Collectively, 22% of budget.
Promotion threshold. Any search term with 2 or more conversions that is not already targeted as a keyword is worth promoting to exact match. One conversion is not enough data to confirm a pattern. Two conversions at a reasonable CPA is a signal. A single conversion from a $200 spend might be noise. Two conversions from $180 in combined spend is worth acting on.
The surgical approach: saving signal before cutting the source
When the search terms report reveals a non converting keyword, the first move is not to pause it. The first move is to look at what search terms that keyword triggered.
The dental practice had a keyword “dental implants for seniors” with $380 in spend and zero conversions. A junior practitioner would pause it. But pulling the search terms it triggered revealed: “affordable dental implants for seniors on Medicare” (4 clicks, 1 conversion, $60) and “senior dental implant financing options” (6 clicks, 1 conversion, $90). Two specific, high intent terms that were converting through a parent keyword that looked like a loser.
The correct sequence: save the two converting terms as exact match keywords with dedicated ad copy and landing pages. Then pause the broad match parent. The $380 was partially a discovery cost for two keywords that convert at $75 CPA, well under the $150 target.
Compare that to another keyword: “dental procedures.” Spend of $220, zero conversions. Search terms: “dental procedures list,” “common dental procedures and costs,” “dental procedures covered by Medicaid.” No specificity, no treatment intent. This keyword is pure waste. Pause it with no further investigation needed.
This surgical approach is the difference between crude optimization and precise account management. It is the same process described in the wasted spend framework’s keyword layer, applied here at the individual keyword level.
Cross referencing: the step most people skip
When the report shows a converting search term with a status of “none” (meaning Google auto matched it rather than targeting it directly), the obvious recommendation is to add it as a keyword.
But there is a step between identifying and adding. Check whether that search term already exists as an active keyword in a different campaign or ad group. “Dental implant consultation” shows as “none” in the general implants campaign. Check the branded campaign: already targeted as exact match at $45 CPA. Adding it again creates internal competition, not opportunity.
In accounts with hundreds of keywords across dozens of ad groups, this cross referencing is slow and error prone when done manually. The audit workflow I use automates this step by checking every converting “none” term against all active keywords in the account before recommending additions.
Building themed negative keyword lists
The most effective negative keyword strategy is theme based, not term based.
Instead of adding individual terms one at a time as they appear in the report, group related terms into themed negative keyword lists. Here is what the dental practice built after the first audit.
Careers and education list: dental school, dental hygienist, dental assistant, DDS program, dental degree, dental residency. Six negative keywords that blocked 120 or more irrelevant matches per month. Every future query containing any of those terms gets excluded automatically.
Competitor list: Aspen Dental, Smile Direct Club, ClearChoice, Affordable Dentures. Four entries that blocked all 45 competitor queries and will block future ones as they appear.
Research and cost list: “cost of” (phrase match), “how much” (phrase match), “price” (phrase match), “cheap” (phrase match), “free” (phrase match), “reviews” (phrase match), “vs” (phrase match). Seven phrase match negatives applied only to the conversion focused campaigns. If the practice runs a separate awareness campaign targeting research stage patients, that campaign keeps these terms open.
The distinction between shared and campaign level negative lists matters. Competitor and career negatives apply everywhere (shared list). Research negatives apply only to bottom funnel campaigns (campaign level list). Applying research negatives everywhere blocks the top of funnel traffic that awareness campaigns are specifically designed to capture.
How match types interact with search term expansion
Understanding how match types drive search term expansion changes how you read the report.
Broad match is the widest. It triggered “dental school requirements” from a “dental implants” keyword because Google saw semantic similarity between “dental” concepts. Broad match gives the algorithm maximum freedom and generates the most search term diversity. Without weekly review and aggressive negative keyword lists, broad match is paying Google to test random queries on your budget.
Phrase match is narrower but still matches intent variants. “Dental implants” as phrase match triggers “best dental implants near me” and “affordable dental implant procedure” but would not trigger “dental school.” Phrase match is the workhorse for most accounts: wide enough to discover new converting queries, narrow enough to avoid the worst irrelevant matches.
Exact match still matches close variants in 2026. “Dental implants” as exact match triggers “dental implant,” “teeth implants,” and “implants for teeth.” Narrower than phrase, but not truly exact. Exact match is where you put your proven winners: terms with enough conversion data that you want maximum control over bids and landing pages.
The practical balance: phrase match as the default for established keywords, broad match as controlled discovery (only in campaigns with strong negative keyword lists and weekly review), and exact match for every search term that has proven it converts.
The weekly rhythm
Search term review should happen weekly. With broad match and smart bidding active, new terms enter the account constantly. A monthly review lets waste compound for four weeks before you catch it.
The weekly process, broken down by time: pull the last 7 days of search terms sorted by spend (2 minutes). Scan for new non converting terms above your individual threshold (1 minute). Categorize new terms into the four groups (15 to 20 minutes). Add themed negatives or update existing negative lists (5 minutes). Check for converting terms with “none” status worth promoting to exact match (10 minutes). Total: 30 to 40 minutes per account.
That 30 to 40 minutes protects against the kind of silent waste that accumulates to $5,200 per month when left unchecked. Search term analysis is one of the 15 checks in the audit checklist I run on every account.
This is the kind of diagnostic work I do on every account I manage. The free audit includes a complete search term analysis with categorization, cross referencing, and themed negative keyword recommendations. For operators who want to build this rigor into their own weekly process, that is exactly what coaching focuses on.