How to Optimize Google Ads Directly in the Platform: A Step-by-Step Guide

Most Google Ads optimization advice sends you somewhere else. Download this report, paste it into a spreadsheet, run it through a third-party tool, then upload changes back. That workflow is slow, error-prone, and honestly exhausting when you're managing multiple accounts.

In-platform Google Ads optimization means doing the work directly inside Google Ads, using the native interface and its built-in reports to make decisions and apply changes without ever leaving the tab. No exports. No copy-paste errors. No wondering whether your spreadsheet reflects what's actually live in the account.

This guide walks you through a practical, repeatable optimization workflow you can run entirely inside Google Ads. You'll learn how to audit your search terms report, build negative keyword lists, refine match types, adjust bids, and review quality signals—all without touching a spreadsheet.

Whether you're a freelancer managing a handful of accounts or an agency running dozens, this process will help you spend less time on admin and more time on decisions that actually move the needle. By the end, you'll have a clear weekly optimization routine you can complete in under an hour.

Let's get into it.

Step 1: Pull Up the Search Terms Report and Set Your Date Range

The search terms report is where in-platform Google Ads optimization starts. Navigate to a campaign or ad group, then go to Keywords > Search Terms in the left-hand menu. This is your primary diagnostic view for everything that follows.

Before you do anything else, understand the distinction this report is built on. A keyword is the term you bid on inside Google Ads. A search term is the actual query a user typed that triggered your ad. These are not the same thing, and conflating them is one of the most common sources of wasted spend. Your keyword might be "project management software," but the search terms triggering it could range from highly relevant to completely off-target.

Set a date range that gives you enough data to act on. For most accounts, the last 14 to 30 days is a reasonable window. If you run these optimizations regularly, you can set the range to start from your last optimization date so you're only reviewing new data each time.

Once your date range is set, sort and filter the report to surface the highest-impact rows first. Two approaches work well here:

Sort by cost descending: This puts your most expensive search terms at the top, so you're reviewing where the most budget has gone before anything else.

Filter for spend with zero conversions: Use the filter tool to show only search terms that have accumulated spend but recorded no conversions. These are your most actionable candidates for exclusion.

One pitfall to avoid: date ranges under seven days rarely give you enough signal to make confident decisions, especially in lower-volume accounts. A search term with one click and no conversion in three days isn't necessarily a problem. The same term with substantial spend and no conversions over 21 days is a different story.

With your report filtered and sorted, you're ready to start making decisions.

Step 2: Identify and Exclude Irrelevant Search Terms

Scan through your filtered search terms list with one question in mind: does this query match what we're actually selling? You're looking for three types of problems.

Wrong intent: Informational queries triggering a transactional campaign. Someone searching "how to use project management software" probably isn't ready to buy. If you're running a bottom-of-funnel campaign, this traffic is a poor fit.

Wrong audience: Queries that suggest a different customer profile than you're targeting. A B2B software campaign picking up searches from students or hobbyists is a common example.

Wrong product category: Broad match keywords can trigger searches for adjacent products you don't offer. If you sell premium office chairs and you're showing up for "gaming chairs under $100," that's a mismatch worth fixing.

Once you've identified irrelevant search terms, excluding them is straightforward inside the Search Terms Report. Check the box next to the term, then select Add as negative keyword from the action bar. You can do this for multiple terms at once. No export needed, no separate navigation to the negative keyword manager.

When you add a negative keyword, you'll need to choose the match type and the level at which to apply it. Understanding negative keyword match types matters here because getting it wrong can block traffic you actually want.

Exact negative match blocks only that specific query. Use this when you want to exclude a particular term without affecting related searches. For example, adding [free] as an exact negative blocks searches containing only the word "free" as a standalone term, but the behavior varies—use negative exact when you're confident about the specific query pattern you're excluding.

Phrase negative match blocks any search containing that phrase in that order. This is useful for blocking a pattern. Adding "free trial" as a phrase negative would block any query containing those two words in sequence.

On placement: adding a negative at the ad group level gives you surgical control, protecting only that ad group while leaving others unaffected. Adding it at the campaign level applies broader protection across all ad groups in the campaign. For terms that are clearly irrelevant to your entire offer, campaign-level exclusions are more efficient.

The most common pitfall here is adding a negative that's too broad and accidentally blocking converting terms. Before adding any negative keyword, take a moment to consider whether the word or phrase appears in queries that do convert for you. If there's overlap, narrow the negative match type or add it at the ad group level instead. Understanding why negative keywords matter to account health is worth reading more about if this is a new practice for you.

If you're working through a long search terms list, tools like Keywordme let you add negative keywords with a single click directly inside the Search Terms Report, without navigating away or opening a separate panel. That kind of friction reduction adds up when you're triaging hundreds of terms across multiple accounts.

Step 3: Add High-Intent Search Terms as New Keywords

While you're scanning for terms to exclude, keep a parallel eye out for the opposite: search terms that performed well but aren't yet explicitly targeted as keywords in your account.

A search term that converted but isn't a keyword in your account means Google matched it through a broader keyword, and you have limited control over how you bid on it or which ad it triggers. Adding it as an explicit keyword changes that. You can set a specific bid, write ad copy tailored to that query, and track its performance independently.

Look for search terms that meet one or more of these criteria:

Converted at a strong rate: If a search term has generated conversions and isn't yet a keyword, adding it gives you direct control over that traffic.

Strong engagement without conversion data: High CTR with no conversions yet might just mean the term is new and needs more data. It's worth adding and monitoring rather than ignoring.

Specific, high-intent phrasing: Search terms with clear purchase intent ("buy," "pricing," "best [product] for [use case]") are often worth capturing explicitly even before conversion data accumulates.

Inside the Search Terms Report, select the term and use the Add as keyword action. You'll be prompted to choose an ad group and match type. For high-confidence, high-value terms, exact match is usually the right call. It gives you the tightest control over when that keyword shows your ad.

For terms that are valuable but slightly broader in phrasing, phrase match is a reasonable middle ground. It allows for some variation while still keeping the core intent intact.

Before confirming, consider whether the term belongs in an existing ad group or warrants its own. Ad relevance matters for Quality Score, and a keyword that doesn't align with the ad copy in its ad group will likely underperform. If the new keyword represents a distinct theme, creating a tightly focused ad group for it will serve you better in the long run.

Keywordme surfaces the "add as keyword" action alongside the negative keyword action in the same view, so you can triage a long search terms list quickly without losing your place or switching between panels.

The success indicator for this step is straightforward: your explicitly targeted keyword list should gradually reflect the actual queries that drive conversions, not just the seed keywords you started the campaign with.

Step 4: Review and Tighten Match Types

Match types determine how closely a user's search query needs to match your keyword before your ad is eligible to show. Getting this wrong is one of the most common sources of irrelevant traffic in Google Ads accounts.

Broad match gives Google the most latitude to interpret your keyword and match it to related searches. In some cases this works well, particularly when paired with Smart Bidding and strong conversion data. In others, it generates a wide range of search terms that have little to do with your actual offer. If your search terms report from Step 1 is full of off-target queries, broad match keywords are often the culprit.

To review match types, go to the Keywords view inside your campaign. Add the match type column if it isn't visible, and review it alongside performance data: cost, conversions, and conversion rate. Look for keywords where broad match is generating high spend relative to conversions.

For keywords driving irrelevant traffic at scale, consider switching to phrase or exact match. This narrows the range of search terms that can trigger your ad, giving you more control. The trade-off is real: tighter match types typically reach less volume. But volume that doesn't convert isn't useful volume. For a deeper look at how broad match affects traffic quality, the Keywordme blog covers why broad match wastes money and why broad match brings bad traffic in more detail.

One important pitfall: changing a keyword's match type in a Smart Bidding campaign can disrupt the algorithm's learning period. Google's Smart Bidding strategies learn from historical data tied to each keyword. When you change a match type, that keyword's learning effectively resets. Make match type changes deliberately and in batches rather than all at once. Give the account time to stabilize between changes so you can evaluate the impact clearly.

The success indicator here is improved search term relevance over time. After tightening match types, your search terms report should show fewer off-target queries, and your average cost per conversion should trend in a better direction as wasted spend decreases.

Step 5: Check Bid Adjustments and Budget Allocation

Once you've cleaned up search terms and tightened match types, look at where your budget is actually going. Navigate to the Campaigns view and review performance across campaigns, then drill into the Ad Groups view for more granular data.

You're looking for two patterns:

High spend, low conversion rate: Campaigns or ad groups consuming significant budget but not converting efficiently. These are candidates for reduced bids or budget reallocation.

Strong conversion rate, hitting budget caps: Campaigns that are performing well but running out of budget before the day ends. These are candidates for increased budget or bid adjustments to capture more of the available traffic.

How you adjust bids depends on your bidding strategy. In manual CPC campaigns, you can edit individual keyword bids directly in the Keywords view by clicking on the bid column. This gives you precise control but requires more active management.

In Smart Bidding campaigns, you don't set individual keyword bids. Instead, adjust your Target CPA or Target ROAS at the campaign level to signal how aggressively you want to compete. You can also apply bid adjustments for devices, locations, and audiences where your data shows meaningful performance differences. For example, if mobile traffic converts at a significantly lower rate than desktop, a negative device bid adjustment can help redirect spend.

A common pitfall: making large bid changes in a single step. Google recommends making gradual adjustments, particularly in Smart Bidding campaigns, because large shifts can destabilize the algorithm's learning. As a general guideline, changes of more than 20 to 30 percent at a time are worth approaching cautiously. If your cost per conversion is running higher than expected, it's worth reviewing the underlying causes before adjusting bids in isolation.

The success indicator for this step is budget flowing toward your highest-converting campaigns and ad groups rather than spreading evenly regardless of performance.

Step 6: Audit Ad Relevance and Quality Score Signals

Quality Score is a diagnostic indicator, not a direct bidding input. Google's own documentation frames it this way: it reflects how relevant your keywords, ads, and landing pages are relative to what users are searching for. Understanding the signals behind it is more useful than chasing the score itself.

To access Quality Score data, go to the Keywords view and use the column customization tool to add these four columns: Quality Score, Expected CTR, Ad Relevance, and Landing Page Experience. Each component is rated as Above Average, Average, or Below Average.

Here's what each signal tells you and what to do about it:

Low Ad Relevance: Your keyword and ad copy aren't tightly aligned. Review the ads in that ad group and check whether the keyword's intent is actually reflected in the headlines and descriptions. If the keyword is too different from the ad group's theme, it may belong in its own tightly focused ad group.

Low Landing Page Experience: There's a mismatch between what your ad promises and what the landing page delivers. This is outside your campaign settings, but it's worth flagging and raising with whoever manages the site. A landing page that doesn't match ad copy intent will hurt conversion rates regardless of how well the campaign is structured.

Expected CTR Below Average: On a high-spend keyword, this is a signal to test new ad copy. Users are seeing your ad but not clicking at the rate Google would expect. Consider whether your headlines are specific enough to the search intent, or whether a competitor's messaging is more compelling.

For Responsive Search Ads, go into the individual ad and check the Assets tab. Google rates each headline and description as Learning, Good, or Low. Headlines and descriptions rated Low are contributing less to performance. Consider pausing or replacing them with alternatives that more directly address the search intent.

The success indicator for this step is improvement in Ad Relevance and Expected CTR ratings over time as you tighten the alignment between keywords, ads, and landing pages. Don't expect overnight changes—these signals update gradually as Google accumulates impression data on your revised ads.

Your Weekly In-Platform Optimization Checklist

Here's the full workflow condensed into a repeatable sequence you can run each week:

1. Open the Search Terms Report, set your date range to cover since your last optimization, and sort by cost descending.

2. Flag irrelevant search terms and add them as negative keywords at the appropriate level and match type.

3. Identify high-intent search terms that converted or show strong engagement, and add them as explicit keywords with the right match type and ad group placement.

4. Review the Keywords view for broad match keywords driving off-target queries, and tighten match types where the data supports it.

5. Check bid adjustments and budget allocation across campaigns and ad groups, making incremental changes where performance data indicates reallocation.

6. Audit Quality Score signals in the Keywords view, and review RSA asset performance for underperforming headlines and descriptions.

For a well-structured account, this process typically takes under an hour once the habit is established. The more regularly you run it, the shorter each session becomes, because you're reviewing a smaller window of new data each time rather than months of accumulated noise.

One practical advantage of staying inside the platform throughout: every change you make is logged in Google Ads' change history, accessible via Tools & Settings > Change History. This makes it straightforward to trace the impact of specific changes over time and avoids the ambiguity that comes from managing changes across external tools and spreadsheets.

If the Search Terms Report feels overwhelming to work through manually, particularly across multiple accounts, that's a common experience. The volume of data can make it hard to triage efficiently. For advertisers who want to move through this workflow faster, Keywordme adds one-click actions for negatives, keyword additions, and match types directly inside the native Google Ads interface. Start your free 7-day trial and see how much faster the same workflow becomes when the actions are right there in the report.

For further reading: if you want to go deeper on any part of this workflow, the Keywordme blog covers why the search terms report can feel overwhelming to manage, why automating keyword management is worth considering for high-volume accounts, and why negative keywords are foundational to account efficiency.

Putting It All Together

Effective Google Ads optimization doesn't require leaving the platform or building elaborate spreadsheet systems. The six steps in this guide cover the highest-impact actions available inside the native Google Ads interface: search terms audit, negative keyword exclusions, keyword additions, match type tightening, bid and budget review, and ad relevance check.

Running this process weekly keeps accounts clean, reduces wasted spend, and compounds improvements over time. Each session builds on the last. Your keyword list gets closer to reflecting actual converting queries. Your negative keyword coverage gets tighter. Your ads get more relevant to the searches triggering them.

The whole thing is designed to be done without exporting a single file.

Keywordme is built for advertisers who want to run this exact workflow faster. It adds one-click optimization actions directly inside the Google Ads Search Terms Report—no exports, no dashboards, no tab-switching. Optimize Google Ads campaigns up to 10x faster, remove junk search terms, build high-intent keyword lists, and apply match types instantly, right inside Google Ads. Start your free 7-day trial (then just $12/month) and take your Google Ads optimization to the next level.