How to Analyze Keyword Performance by Month: A Step-by-Step Guide

If you're only checking keyword performance when something breaks or a client asks why costs went up, you're already behind. Monthly keyword performance analysis is what separates the PPC managers who are constantly putting out fires from the ones who see problems coming three weeks out.

TL;DR: Monthly keyword performance analysis helps you spot trends, cut wasted spend, and double down on what's working across your PPC and SEO campaigns. This guide walks you through the exact process — from pulling data to taking action — in a repeatable workflow you can run every single month.

Here's the reality: most advertisers check keyword data reactively. Budget spikes, conversions drop, a client sends a panicked email. Then you dig in. But by the time you're reacting, you've already wasted money or missed an opportunity window.

Analyzing keyword performance by month on a consistent schedule is how you catch seasonal shifts before they hit your budget, identify declining keywords before they drain your account, and find emerging high-intent terms while they're still cheap to bid on. Whether you're managing Google Ads campaigns, tracking organic rankings in Search Console, or both, this process gives you a repeatable monthly workflow that actually moves the needle.

We'll cover which metrics actually matter, how to pull and organize data, what to look for in month-over-month comparisons, and how to turn those insights into real account changes. No fluff. Just the process experienced PPC managers and SEO pros actually use.

Step 1: Define the Metrics That Actually Matter for Monthly Analysis

Before you pull a single report, you need to know what you're measuring and why. This sounds obvious, but in most accounts I audit, people are tracking everything and acting on nothing. Vanity metrics are the main culprit.

Impressions alone, for example, tell you almost nothing without click-through rate and conversion data alongside them. A keyword with 50,000 impressions and a 0.2% CTR is often a signal of poor ad relevance or match type misalignment, not reach. Context is everything.

Core PPC metrics to track monthly:

Impressions and Clicks: Your baseline volume indicators. Track both together to understand reach vs. engagement.

CTR (Click-Through Rate): A month-over-month CTR drop on a stable keyword often signals a competitor has improved their ad copy or you've lost ad position.

Average CPC: Rising CPC without a corresponding rise in conversion rate is a red flag. Watch this closely.

Conversions and Conversion Rate: The metrics that actually connect to business outcomes. Always track these together.

Cost Per Conversion: Your efficiency metric. If this is climbing, something upstream has changed — bids, competition, landing page quality, or match type drift.

Impression Share: Often overlooked. A declining impression share tells you whether you're losing ground to competitors or hitting budget caps before the day is done.

Core SEO metrics to track monthly (via Google Search Console):

Average Position: Track rank changes for your target keywords month over month. Sudden drops often correlate with algorithm updates or new competitors.

Organic Clicks and Impressions: Impressions rising while clicks stay flat usually means your title tags and meta descriptions need work.

CTR from Search Console: Compare organic CTR by keyword to identify where you're ranking but not winning the click.

One thing that matters a lot here: align your metrics to your actual business goal before you start. A lead gen account cares about cost per lead. An ecommerce account cares about ROAS. A brand awareness campaign cares about impression share and reach. Tracking the wrong metrics for your goal creates noise, not insight. Understanding how to prioritize keywords by ROI potential helps you focus on the metrics that actually drive revenue.

Practical tip: build a simple tracking template with these columns in a spreadsheet before you do anything else. Having a consistent structure month to month is what makes comparison possible. You can't spot trends in data that's organized differently every time you look at it.

Step 2: Pull Your Keyword Data into a Comparable Format

Now that you know what you're measuring, let's talk about where to get the data and how to make it usable.

For Google Ads, start with two places: the Keywords tab and the Search Terms Report. The Keywords tab shows you performance for the keywords you're actively bidding on. The Search Terms Report shows you what people actually typed into Google before clicking your ad. Both are essential, and most advertisers underuse the second one.

To export from Google Ads: navigate to the Keywords tab, set your date range to the full previous calendar month, and download the report. Then do the same for the month before that. You want two clean, complete months for comparison. Avoid partial months — they skew everything.

For the Search Terms Report specifically: go to Keywords > Search Terms in the Google Ads interface, apply the same date filters, and export. This is where you'll find the irrelevant queries burning your budget, the emerging high-intent terms you should be adding as keywords, and the match type leakage that's costing you more than you realize.

For Google Search Console, go to the Performance report, click "Date: Compare," and set it to compare the last full month against the month before. Export the query-level data. This gives you organic keyword performance in a format you can analyze alongside your paid data. Learning to refine keyword lists using Search Console and Ads data together is one of the most powerful things you can do for monthly analysis.

A few things to normalize before you start comparing:

Same date ranges: Full calendar months only. Don't compare a 28-day February against a 31-day March without accounting for the day difference.

Same campaigns: If you added or paused campaigns mid-month, note it. Campaign structure changes will skew your keyword-level data.

Same account structure: If you restructured ad groups between months, comparisons get messy. Flag these as context when you're reviewing.

Here's where tools built for this workflow save serious time. If you're doing search term analysis inside Google Ads, something like Keywordme lets you work directly in the Search Terms Report without exporting anything. You can flag junk terms, cluster related keywords by theme, and take action without ever opening a spreadsheet. For agencies managing multiple accounts, that kind of in-interface speed adds up fast.

The goal at this stage is clean, comparable data. Two months, same structure, same campaigns. Once you have that, you're ready to actually analyze.

Step 3: Build a Month-Over-Month Comparison View

This is where most people either overcomplicate things or don't go far enough. The goal is a simple side-by-side view that makes patterns obvious at a glance.

Set up your spreadsheet with these columns: Keyword, Month A (each metric), Month B (each metric), and a Delta column showing the percentage change between them. For example: Month A CPC = $2.10, Month B CPC = $2.73, Delta = +30%. That's a number worth investigating. You can benchmark keyword CPC vs. industry averages to determine whether rising costs are account-specific or market-wide.

Use conditional formatting to flag significant changes automatically. A useful starting threshold: highlight any keyword where CPC increased more than 20% month over month, or where conversion rate dropped more than 15%. You're not trying to investigate every fluctuation — you're triaging the ones that actually need your attention.

Now here's something most monthly analysis guides miss: don't just look at individual keywords. Group them by theme or campaign first, then look at cluster-level trends.

Individual keyword data is noisy. One keyword might spike in cost because of a single auction anomaly. But if your entire "running shoes" cluster shows rising CPCs and declining conversion rates in the same month, that's a real signal. Maybe a major competitor entered the space. Maybe there's a seasonal demand shift. Cluster-level analysis reveals patterns that individual keyword fluctuations hide.

What usually happens here is that advertisers get distracted by individual keyword outliers and miss the bigger story playing out across a whole theme or product category. Zoom out first, then zoom in.

To illustrate: imagine you're managing an ecommerce account selling outdoor gear. In your month-over-month comparison, you notice that "summer sandals" and related terms are showing a sharp spike in impressions in April, but your bids haven't moved and your impression share is actually dropping. That tells you demand is rising faster than your bids are keeping up. Without a monthly comparison view, you'd never catch that until you're already losing ground to competitors who adjusted weeks ago.

Build the comparison view once, save the template, and reuse it every month. The structure matters more than the tool you use to build it.

Step 4: Identify Winners, Losers, and Seasonal Patterns

Once your comparison view is built, the next step is categorization. Not every keyword needs the same response. Grouping them by performance behavior makes your decision-making faster and more consistent.

Here's the framework I use in most accounts:

Winners: Improving CTR, stable or declining CPC, rising conversions. These keywords are earning more budget, not less.

Losers: Rising cost, declining conversion rate, or both. These need investigation before you pause them — sometimes the issue is fixable (ad copy, landing page, match type). Sometimes it's not.

Stable performers: Consistent month over month with no dramatic swings. These are your baseline. Don't ignore them, but don't over-tinker either.

Emerging terms: New queries appearing in your Search Terms Report that you haven't added as keywords yet. These are often the most valuable find in a monthly analysis session because you're seeing real demand before you've fully capitalized on it.

Seasonal patterns deserve special attention. Month-over-month comparisons are useful, but they can mislead you if you don't account for seasonality. A B2B account seeing a dip in December isn't failing — it's experiencing a normal seasonal pattern. The smarter comparison is same month, year over year. If you have historical data, always run both comparisons: sequential months and year-over-year for the same month. For campaigns with predictable demand cycles, knowing how to optimize keywords for seasonal campaigns gives you a significant edge.

Impression share drops are a specific signal worth flagging separately. If a keyword's impression share is declining while your bids haven't changed, it usually means one of two things: competition has intensified, or your budget is running out before peak search hours. Both require different fixes.

And then there's the junk term problem. In most accounts I audit, there are irrelevant search terms that have been appearing month after month, burning budget every time. If a term showed up last month, this month, and probably the month before that, and it's clearly not relevant to your offer, it needs to be added as a negative keyword immediately. This isn't a one-time cleanup task — it's a recurring monthly action.

The categorization step is what turns data into a prioritized action list. Without it, you're just looking at numbers.

Step 5: Take Action Based on What the Data Tells You

Analysis without action is just reporting. This step is where the real value of monthly keyword performance analysis shows up in your account.

For declining keywords, don't pause immediately. First, check three things: ad copy relevance (is your ad still aligned with what the keyword implies?), landing page quality (has anything changed on the page?), and competitor activity (have new players entered the auction?). Quality Score issues often surface in monthly keyword analysis before they become expensive — a CTR drop on a previously stable keyword is often an early warning sign of a Quality Score problem. Learning how to choose keywords for Quality Score improvement can help you address these issues proactively.

For rising-cost keywords, the question is always: do the conversions still justify the spend? Calculate your actual cost per lead or ROAS for that keyword specifically, not at the campaign level. A keyword with a 40% CPC increase might still be your most efficient converter. Or it might be bleeding budget. The math tells you which.

For junk search terms that keep appearing: add them as negatives right now, in the interface, before you close the report. This is where working directly inside Google Ads rather than in a spreadsheet makes a real difference. When you're in a spreadsheet, negative keyword additions become a separate task you have to remember to do later. When you're working in the interface, you can act immediately. Understanding how negative keywords improve campaign performance reinforces why this step can't be skipped.

For emerging high-intent keywords you've spotted in the Search Terms Report: add them as exact or phrase match keywords with dedicated ad groups. Don't let them keep triggering through broad match without proper control. Give them their own structure so you can bid on them intentionally.

For match type issues: if broad match keywords are consistently triggering irrelevant queries month after month, it's time to shift some to phrase or exact match. Understanding how keyword match type affects Google Ads performance is critical for making these adjustments correctly.

Finally: document every change you make. Date, keyword, action taken, reasoning. This optimization log is invaluable for client reporting, team handoffs, and your own month-over-month context. The mistake most agencies make is making changes without a record, then not being able to explain why performance shifted two months later.

Step 6: Build a Repeatable Monthly Reporting Cadence

The most valuable thing about monthly keyword analysis isn't any single insight. It's the compounding effect of doing it consistently over time.

Pick a specific day each month and protect it. First Tuesday of the month, last Friday, whatever works for your schedule. Consistency matters more than perfection. A solid 90-minute monthly analysis session beats an occasional deep dive you only do when something goes wrong.

Create a simple one-page summary template that covers: top five keyword winners this month, top five underperformers, budget reallocation recommendations, and negative keywords added. That's your deliverable, whether you're reporting to yourself, a client, or a team. Exploring the best tools for keyword performance tracking can help you streamline the reporting side of this cadence significantly.

For agency owners, this monthly report is more than an internal tool. It's a client-facing deliverable that demonstrates ongoing, proactive management. It shows clients you're not just running their ads — you're actively optimizing them every month. That's how you justify management fees and reduce churn.

Automate what you can. Scheduled exports in Google Ads, saved date filters, saved views in Search Console. The less manual setup you do each month, the more time you spend on actual analysis and action. Over time, your monthly snapshots build into a historical dataset that makes quarterly planning and automated keyword forecasting significantly more accurate.

Your Monthly Keyword Analysis Checklist

Here's the full workflow in a quick-reference format:

1. Define your core metrics aligned to your business goal (PPC and/or SEO)

2. Pull keyword data from Google Ads (Keywords tab + Search Terms Report) and Google Search Console, normalized to full calendar months

3. Build a month-over-month comparison view with delta columns and conditional formatting

4. Group keywords by theme and categorize them: winners, losers, stable, and emerging

5. Check for seasonal patterns using year-over-year comparisons where possible

6. Take action: add negatives, adjust bids, fix match types, promote emerging keywords, document everything

7. Summarize findings in a one-page report and schedule next month's session

One month of keyword analysis is interesting. Six months of it reveals the patterns that actually move the needle. Twelve months gives you a seasonal roadmap that most advertisers are guessing at.

The goal isn't just to look at numbers. It's to make faster, better decisions. Whether you're a freelancer managing a handful of accounts or an agency handling dozens of clients, a repeatable monthly process for analyzing keyword performance keeps you proactive instead of reactive. That's the difference between an account that compounds its gains and one that's always playing catch-up.

If the manual side of this process — especially search term cleanup and keyword clustering — is eating too much of your time, it's worth looking at tools built to work inside Google Ads rather than alongside it. Start your free 7-day trial of Keywordme and see how much faster your monthly optimization workflow gets when you're removing junk terms, building keyword lists, and applying match types without ever leaving your account. Then just $12/month to keep the momentum going.