How to Refine Your Keyword List Using Search Console & Ads Data: A Step-by-Step Guide

Most Google Ads managers I talk to are sitting on a goldmine of keyword data—they just don't realize it yet. You've got Search Console telling you what people are actually searching for when they find your site organically, and you've got Google Ads showing you which keywords convert when you pay for them. The problem? These two datasets usually live in separate silos, analyzed independently, if they're analyzed at all.

Here's what usually happens: you build a keyword list based on gut feeling or competitor research, launch campaigns, create some content, and hope for the best. Meanwhile, Search Console is screaming "Hey, you're ranking for this valuable query!" while Google Ads is quietly burning budget on terms that will never convert. The disconnect is costing you money and missed opportunities.

This guide walks you through the practical process of combining these two data sources to build a keyword list that's actually grounded in reality. No more guessing which keywords might work—you'll be working with proof of what already resonates with your audience. Whether you're managing client accounts or optimizing your own campaigns, this approach eliminates the speculation and gives you a repeatable system for keyword refinement.

The beauty of this method is that it creates a feedback loop. Paid data validates intent and conversion potential. Organic data reveals what Google already considers you relevant for. Together, they show you exactly where to invest your time and budget. Let's break down how to actually do this, step by tactical step.

Step 1: Export Your Search Console Query Data

Start by logging into Google Search Console and navigating to the Performance report in the left sidebar. This is where all your organic search query data lives, and it's surprisingly underutilized by most advertisers who focus exclusively on their paid channels.

Set your date range to the last 90 days. I've found this timeframe gives you enough data to identify meaningful patterns without getting distracted by seasonal anomalies or one-off traffic spikes. Some people prefer 180 days for more stable averages, but 90 days keeps you focused on current search behavior, which is what you want when refining an active keyword strategy.

Make sure you have all four key metrics selected at the top: Total Clicks, Total Impressions, Average CTR, and Average Position. These four data points together tell you the complete story of each query's performance. Clicks show actual engagement. Impressions reveal search volume. CTR indicates relevance. Position tells you how competitive the landscape is.

Here's where most people make their first mistake—they export everything without filtering. If you're working on a specific campaign or content area, use the filters to narrow down to relevant pages first. Click the "+ NEW" filter button and select "Page" to focus on URLs related to your campaign theme. This keeps your analysis focused instead of overwhelming you with thousands of irrelevant queries.

Once your filters are set, scroll to the bottom of the Performance report and click the export icon. Choose "Download as Google Sheets" or "Download as Excel" depending on your workflow. The export will include every query that triggered an impression for your filtered pages during your selected timeframe, along with all four metrics.

Why this matters: Search Console reveals what Google already thinks your site is relevant for. These aren't hypothetical keywords from a research tool—they're actual searches where Google decided to show your pages. Some of these queries you'll recognize from your keyword research for Google Ads. Many others will surprise you. Those surprises are often your biggest opportunities.

Success indicator: You should have a spreadsheet with columns for Query, Clicks, Impressions, CTR, and Position. If you're seeing thousands of rows, that's normal. We'll filter this down in the next steps to find the actionable insights.

Step 2: Pull Your Google Ads Search Terms Report

Now switch over to Google Ads and navigate to the Search Terms report. You'll find this under Insights and Reports > Search Terms in the left menu. This report shows you the actual queries that triggered your ads—which is different from the keywords you're bidding on, and that difference is critical.

Set your date range to match your Search Console export exactly. If you pulled 90 days from Search Console, use the same 90-day window here. This alignment is essential because you're about to compare these datasets, and mismatched timeframes will give you misleading conclusions about which keywords are performing where.

The default view shows basic metrics, but you need to customize your columns to get the full picture. Click the Columns icon and make sure you're displaying: Search Term, Impressions, Clicks, Cost, Conversions, Conversion Rate, and Cost per Conversion. If you track multiple conversion actions, include the ones most relevant to your business goals—usually leads or sales rather than soft metrics like newsletter signups.

In most accounts I audit, the Google Ads search terms report reveals that 30-40% of ad spend goes to queries the advertiser never explicitly bid on. That's the nature of broad and phrase match—you get variations and related searches. Sometimes that's good (you discover new opportunities). Often it's wasteful (you're paying for irrelevant traffic). This export lets you see exactly where your budget is actually going.

Export the full report using the download icon. Choose the same format you used for Search Console to make the next steps easier. If you're working with large campaigns, the export might take a minute—that's normal. Google Ads is processing potentially thousands of search terms and their associated performance data.

One thing to watch for: if you're using broad match heavily, you might see search terms that seem completely unrelated to your keywords. Don't panic—that's actually useful information. Those weird queries tell you where Google's algorithm is taking your ads, and you'll use that insight to build a better negative keyword list later.

Success indicator: You now have two complementary datasets ready for analysis. Your Search Console export shows organic search behavior. Your Google Ads export shows paid search behavior. The magic happens when you start comparing them to find patterns, gaps, and opportunities that aren't visible when you look at either dataset in isolation.

Step 3: Identify High-Performing Organic Queries Missing from Ads

Open your Search Console export and start by filtering for queries with meaningful impression volume. I typically use 100+ impressions as a baseline, but adjust this based on your site's traffic level. If you're in a niche industry, 50 impressions might be significant. If you're in e-commerce, you might need 500+ to consider a query worth pursuing.

Now here's the opportunity zone I mentioned earlier: filter for queries where your average position is between 4 and 15. Why this range? Position 1-3 queries are already performing well organically—you probably don't need to pay for them unless they're extremely high-value converters. Position 16+ means you're barely visible, so the organic data isn't really validated yet.

But positions 4-15? That's the sweet spot. You're ranking well enough that Google considers you relevant. You're getting impressions, which means there's search volume. But you're not dominating the SERP, which means there's room to capture more traffic through paid ads while you work on improving organic rankings.

Filter your list further by CTR. Look for queries with at least 2% CTR—this indicates that when people see your result, they actually click it. Low CTR suggests your title and description aren't compelling, which is a content problem to fix separately. But decent CTR proves the query intent matches what you're offering.

Now comes the critical step: cross-reference these queries against your Google Ads search terms report. Open both spreadsheets side by side or use a VLOOKUP function if you're comfortable with spreadsheet formulas. What you're looking for are queries that appear in Search Console with strong metrics but are completely absent from your Google Ads data.

These gaps represent proven opportunities. These are searches where users are already finding and clicking your organic results. You know the intent is good because you're seeing engagement. You know Google considers you relevant because you're ranking. But you're not currently bidding on these terms in your paid campaigns.

The mistake most agencies make is building keyword lists based purely on research tools or competitor analysis. But here you have actual user behavior data. These queries aren't theoretical—they're proven. When you add keywords to Google Ads, you're not taking a shot in the dark. You're scaling what already works.

Make a new tab in your spreadsheet and label it "Organic Winners to Test in Ads." Copy over any queries that meet your criteria: decent impressions, position 4-15, good CTR, and absent from current paid campaigns. For each query, note the organic metrics so you can compare paid performance later.

Step 4: Find Converting Ads Keywords to Boost Organically

Now flip the analysis. Open your Google Ads search terms report and filter for keywords with strong conversion rates. What counts as "strong" depends on your industry, but I generally look for anything above your account average. If your overall conversion rate is 3%, then 4%+ queries deserve attention.

Also filter by reasonable volume—you want search terms that have generated at least 20-30 clicks during your analysis period. Lower than that and you might be looking at statistical noise rather than a reliable pattern. The exception is if those few clicks converted at an exceptionally high rate, which could indicate a high-intent keyword worth exploring.

Look at your cost per conversion column. You're searching for keywords where the economics work—where you're acquiring customers or leads at a cost that makes sense for your business. These are your proven converters. Paid search has validated that when people search these terms and land on your site, they take action.

Now cross-reference these converting paid keywords against your Search Console data. Do these queries appear in your organic performance report? If yes, great—you're already capturing both paid and organic traffic for proven converters. But if these high-converting queries are absent or have minimal organic impressions, you've just identified a content opportunity.

Think about what this means: Google Ads has proven that these searches lead to conversions. You know the intent is transactional or commercial. You know your offer resonates with people searching these terms. But you're paying for every single click because you don't rank organically.

This creates a clear content roadmap. Create or optimize pages targeting these converting keywords. Build out landing pages that match the search intent. Add supporting blog content that addresses related questions. The goal is to start capturing some of that valuable traffic organically, reducing your reliance on paid ads for queries you know convert.

This is the feedback loop in action: paid data informs content strategy. Instead of guessing what content to create, you're building pages around keywords with proven conversion potential. You're not writing blog posts hoping they'll attract the right audience—you already know these searches convert because you've been paying to acquire that traffic.

Create another tab labeled "Converting Paid Keywords for Content Development." List each high-performing search term along with its conversion metrics from Google Ads and its current organic visibility from Search Console. This becomes your content team's priority list, ranked by conversion value rather than search volume or keyword difficulty scores.

Step 5: Eliminate Wasteful Keywords from Both Channels

Now for the part that actually saves you money. Start with your Google Ads search terms report and filter for queries with high spend but zero or very low conversions. Sort by total cost descending—this surfaces your biggest budget drains immediately.

In most accounts I've worked on, you'll find search terms that have consumed hundreds or even thousands of dollars without generating a single conversion. These are prime candidates for your negative keyword list. But before you add them, take one more step: check if they appear in Search Console with any meaningful engagement.

If a query is burning budget in Ads AND getting zero clicks organically despite decent impressions, that's a double signal of poor intent match. The query might seem related to your business on the surface, but actual user behavior tells you it's not what you want to attract. Add it to your negative keyword list without hesitation.

Now flip to your Search Console export and filter for queries with high impressions but zero clicks. These are searches where Google is showing your pages, but nobody finds your result compelling enough to click. This usually means either your title/description is off, or more likely, the query intent doesn't actually match what you offer.

Cross-reference these zero-click organic queries against your Ads data. If you're also running paid campaigns for these terms (or if they're triggering your ads through broad match), you're potentially wasting budget on both channels. These are candidates for complete elimination from your keyword strategy.

Here's where tools that integrate directly into Google Ads become incredibly valuable. Instead of downloading reports, manipulating spreadsheets, and then manually adding negative keywords back in the interface, you can identify and exclude wasteful terms right where you're already working. This is exactly what Keywordme was built for—spotting irrelevant search terms and removing them with a click, without leaving your Google Ads search terms report.

Don't forget about close variants and misspellings. If "cheap [your product]" consistently underperforms because you're a premium brand, add it as a negative. If you sell software but keep getting clicks for "software engineer jobs," exclude it. The goal is to prevent your ads from showing for searches that will never convert, regardless of how many impressions they generate.

Create a master negative keyword list in Google Ads and apply it at the campaign or account level depending on how broadly these exclusions should apply. Document why you're excluding each term—six months from now, you'll want to remember whether "free [your product]" was excluded because of poor quality traffic or because you tested it during a period when you didn't offer a free tier.

Step 6: Build Your Refined Keyword List with Match Type Strategy

You now have three lists: organic winners to add to paid campaigns, converting paid keywords for content development, and negative keywords to exclude. Time to pull it all together into a refined, actionable keyword strategy organized by intent and match type.

Start by categorizing every keyword you're keeping or adding based on search intent. Informational queries (how-to, what is, guide to) typically sit at the top of the funnel. Commercial queries (best, top, vs, review) indicate comparison and consideration. Transactional queries (buy, pricing, demo, near me) show purchase intent. This categorization determines both your match type strategy and your bidding approach.

For proven high-intent converters—the transactional keywords you identified in Step 4—use exact match. These are terms where you know the intent, you know they convert, and you want maximum control. Exact match ensures your ads only show for that specific query and close variants, preventing budget waste while you scale what works.

For the organic winners you're testing in paid campaigns, start with phrase match. These keywords have proven engagement organically, but you haven't validated conversion potential in paid search yet. Phrase match gives you some flexibility to capture variations while maintaining relevance. Monitor their performance closely for the first few weeks—if they convert well, consider adding the best-performing variations as exact match keywords.

Broad match with Smart Bidding has become increasingly effective as Google's machine learning improves, but use it strategically. I typically recommend broad match for informational keywords where you want to discover new query variations, or for campaigns with robust conversion data where Smart Bidding has enough signal to optimize effectively. Understanding how keyword match type affects performance is essential for making these decisions confidently.

Group your keywords into tight thematic clusters—this improves Quality Score and makes campaign management much easier. Instead of one giant ad group with 50 loosely related keywords, create smaller ad groups of 5-10 closely related terms. This allows you to write highly relevant ad copy and send users to the most appropriate landing page.

Document your decisions in a master keyword strategy spreadsheet. For each keyword, note: the source (Search Console opportunity, Ads converter, etc.), the assigned match type, the rationale for inclusion, and any special bidding or targeting considerations. This documentation becomes invaluable when you're reviewing performance later or training team members on your approach.

The final step is implementation. Upload your new keywords to Google Ads, apply your negative keyword lists, and set up conversion tracking if you haven't already. Make sure each ad group has at least two ad variations so you can test messaging. Set appropriate bids based on your conversion value data—keywords you know convert well deserve higher bids than experimental terms you're testing.

Putting It All Together: Your Keyword Refinement Checklist

Let's recap what you've accomplished. You started with two separate data sources that most advertisers never connect. By systematically analyzing both Search Console and Google Ads data, you've built a keyword strategy grounded in actual user behavior rather than assumptions or competitor guesswork.

Quick checklist to run through:

Exported 90-day Search Console query data ✓

Pulled matching Google Ads search terms report ✓

Identified organic winners to add to paid campaigns ✓

Found converting paid terms for content opportunities ✓

Built negative keyword list from underperformers ✓

Organized final list by intent and match type ✓

This isn't a one-time task. The search landscape changes constantly—new competitors enter the market, search behavior evolves, and Google's algorithm updates shift what works. Run this analysis quarterly to keep your keyword strategy sharp and responsive to actual performance data.

What usually happens after teams implement this process is they discover they've been leaving money on the table in two ways: paying for clicks on keywords that will never convert, and missing opportunities to capture traffic for queries that already prove they work organically. Fixing both issues simultaneously creates a compounding effect on campaign performance.

The combination of organic and paid data eliminates the guesswork that plagues most keyword strategies. You're no longer wondering "Should we bid on this keyword?" or "What content should we create next?" The data answers those questions definitively. This keyword converts in paid search—build content for it. This query drives organic clicks but we're not bidding on it—test it in Ads. This term burns budget in both channels—exclude it completely.

If you're managing multiple accounts or handling high-volume campaigns, the manual process of exporting reports and cross-referencing spreadsheets gets tedious fast. This is where workflow efficiency becomes critical. The faster you can identify wasteful search terms and take action, the less budget you waste and the more time you have for strategic work.

Tools that work directly in the Google Ads interface can dramatically speed up the negative keyword process specifically. Instead of the traditional workflow of downloading reports, analyzing in spreadsheets, and then manually adding negatives back in the platform, you can spot junk search terms and exclude them in seconds without ever leaving your search terms report. Start your free 7-day trial of Keywordme to see how much faster keyword optimization becomes when you eliminate the context switching and spreadsheet gymnastics. At just $12/month after the trial, it's one of the most cost-effective ways to protect your ad budget from wasteful spend.

The bottom line: your keyword list should be a living document that evolves based on real performance data from both organic and paid channels. The methodology outlined in this guide gives you a repeatable system for refinement that gets smarter every time you run it. Stop guessing which keywords might work. Start investing in keywords proven to drive results.