How to Make a Combo Chart in Google Analytics

Cody Schneider••9 min read

While Google Analytics can show you tons of data in tables and standard graphs, sometimes you need to layer different metrics together to see the real story. This is where a combo chart - combining a bar chart with a line chart - comes in handy. However, you may have already discovered you can't build one directly in a standard GA4 report. We'll show you exactly how to get around that and create a powerful combo chart using your Google Analytics data in Looker Studio, step by step.

GraphedGraphed

Build AI Agents for Marketing

Build virtual employees that run your go to market. Connect your data sources, deploy autonomous agents, and grow your company.

Watch Graphed demo video

What is a Combo Chart, Anyway?

A combo chart, or combination chart, is a single visualization that displays data using two or more different chart types. The most common combination is a bar chart overlaid with a line chart. This simple pairing is exceptionally powerful because it allows you to visualize and compare two different types of metrics that might have vastly different scales.

For example, imagine you want to see your daily website traffic next to your daily conversion rate. Your traffic is measured in thousands of sessions, while your conversion rate is a single-digit percentage. Putting these two metrics on a standard bar chart would be useless, the conversion rate bars would be so tiny you wouldn't even see them next to the traffic bars.

A combo chart solves this problem by giving each metric its own axis. The traffic (bars) might use the left-side Y-axis, which goes up into the thousands, while the conversion rate (line) uses the right-side Y-axis, which might only go up to 10%.

Suddenly, you have a crystal-clear view of how these two related but different-scale metrics interact over time.

Free PDF · the crash course

AI Agents for Marketing Crash Course

Learn how to deploy AI marketing agents across your go-to-market — the best tools, prompts, and workflows to turn your data into autonomous execution without writing code.

Three Reasons Combo Charts are So Effective

They’re more than just a neat visual trick. Combo charts serve several practical purposes for any marketer or business owner looking at their data:

  • They Compare Different Scales Intuitively: As in the example above, you can easily plot very large numbers (like ad impressions or total users) against very small numbers (like click-through rate, cost-per-click, or conversion rate) in a way that makes immediate sense.
  • They Reveal Relationships and Correlations: Does a huge spike in traffic from a viral post actually lead to more conversions, or does your conversion rate dip because the new audience isn't a good fit? A combo chart tells this story instantly. Seeing the "Sessions" bars go up while the "Conversion Rate" line goes down gives you an immediate insight.
  • They Save Valuable Dashboard Space: Why use two separate charts when one can tell a more cohesive story? Combining them saves room on your reports, reduces clutter, and makes it easier for stakeholders to digest the information without looking back and forth between different visuals.

The Straight Answer: Can You Build a Combo Chart in GA4 Itself?

No, you can't build a true, dual-axis combo chart directly within the standard reporting interface or the "Explore" section of Google Analytics 4.

Within an Exploration report, you can view your data as a line chart, and you can add secondary metrics to that line chart. But all the metrics will share the same Y-axis. This is fine if your metrics are on a similar scale (e.g., comparing traffic from Organic Search vs. Paid Search), but it doesn't solve our problem of comparing metrics with completely different scales (e.g., Users vs. Engagement Rate).

This isn't a flaw in GA4, it's by design. Google Analytics is a phenomenal tool for collecting and surfacing data. For advanced visualization and creating fully-customized dashboards, Google steers you toward its dedicated business intelligence tool: Looker Studio (formerly Google Data Studio).

The good news is that Looker Studio is free, connects to your GA4 data natively, and makes building combo charts incredibly simple.

GraphedGraphed

Build AI Agents for Marketing

Build virtual employees that run your go to market. Connect your data sources, deploy autonomous agents, and grow your company.

Watch Graphed demo video

How to Build a Combo Chart with GA4 Data in Looker Studio

Let’s walk through the process of creating a chart that visualizes daily Sessions (as bars) against the daily Session conversion rate (as a line).

Step 1: Get Your Data into Looker Studio

First, we need to connect Looker Studio to your Google Analytics account.

  1. Navigate to lookerstudio.google.com and sign in.
  2. Click on the big "Blank Report" button to start a new project.
  3. Looker Studio will now ask you to connect to a data source. In the list of "Google Connectors," select Google Analytics.
  4. You'll be asked to authorize the connection. Then, select the correct GA4 Account and Property from your list that you want to pull data from.
  5. Click the "Add" button in the bottom right corner. A pop-up will confirm you're about to add this data to the report. Click "Add to Report."

That's it! Your blank report canvas is now linked to your GA4 property.

Step 2: Add a Combo Chart to the Canvas

Now that your data source is connected, let's add the chart itself.

  1. In the top menu bar, click Add a chart.
  2. Hover over the options until you find the "Combo chart" category. You'll see two styles: Bar and line combo chart and Stacked bar and line combo chart. For this example, let's choose the standard Bar and line combo chart.
  3. Click to select it, and then click anywhere on your report canvas to place the chart.

You’ll now see a default chart populated with some placeholder dimensions and metrics from your GA4 account.

Step 3: Configure Your Dimensions and Metrics

This is where we tell the chart what data to display. On the right-hand side of the screen, you'll see a Setup panel. This is your control center for the chart.

  • Dimension: This is what you're measuring your data against. Since we want to see performance over time, we'll use Date. Looker Studio often uses this by default. If it shows something else, click on the current dimension, search for "Date," and select it.
  • Metric 1 (Bars): This will be our high-volume metric. Drag the Sessions metric from the "Available Fields" list into the "Metric" section in your Setup panel. Make sure its chart type is set to "Bar."
  • Metric 2 (Line): This will be our percentage-based metric. Drag Session conversion rate from the Available Fields and drop it below your Sessions metric in the Setup panel. Be sure its chart type is set to "Line."

At this point, you'll likely see a chart with big blue bars for sessions and an almost invisible flat line at the bottom for conversion rate. Time to fix that.

Step 4: Setting Up the Dual Y-Axis

This is the quick but critical step that makes your combo chart readable.

  1. With your chart selected, go to the Style tab in the right-hand panel (next to "Setup").
  2. Scroll down until you find the section for Series #1 (corresponding to your Sessions metric) and Series #2 (corresponding to your Session conversion rate metric).
  3. Under Series #2, you'll see a dropdown menu for "Axis." By default, it's set to "Left." Click this dropdown and change it to "Right."

Instantly, a new axis will appear on the right side of your chart scaled specifically for your conversion rate. Your line will jump up and become fully visible, beautifully overlaid on your session bars!

Free PDF · the crash course

AI Agents for Marketing Crash Course

Learn how to deploy AI marketing agents across your go-to-market — the best tools, prompts, and workflows to turn your data into autonomous execution without writing code.

Step 5: Refine and Polish Your Chart

Now you just need to clean it up to make it presentable.

  • Add Titles and Axis Labels: Still in the "Style" tab, you can change colors, gridlines, fonts, and more. Most importantly, scroll to the "Axes" section to add axis titles like "Total Sessions" for the left Y-axis and "Conversion Rate" for the right.
  • Customize Colors: Change the color of your bars and line to match your branding or make them visually distinct.
  • Adjust the Legend: Position the legend at the top, bottom, or right to best fit your dashboard layout.

Three More Practical Combo Chart Examples

Now that you know the process, here are a few more high-impact combo charts you can build.

1. Marketing Cost vs. Revenue

  • Goal: See if your advertising spend is directly driving sales.
  • Dimension: Date
  • Metric 1 (Bars): Total Revenue
  • Metric 2 (Line): Cost
  • Insight: Watch for days when the "Cost" line spikes. Does the "Revenue" bar get a proportional boost? This is a fantastic way to quickly visualize campaign return on ad spend (ROAS).

2. Total Users vs. Engagement Rate by Channel

  • Goal: Find out which marketing channels bring not just traffic, but quality traffic.
  • Dimension: Default Channel Grouping
  • Metric 1 (Bars): Total Users
  • Metric 2 (Line): Engagement Rate
  • Insight: You might see that "Paid Social" brings a massive bar of users, but its "Engagement Rate" line is lower than "Organic Search." This tells you that even if organic traffic is lower, those users are more interested in your content.

3. New Users vs. Bounce Rate

  • Goal: See if your user acquisition efforts are attracting the right audience.
  • Dimension: Date
  • Metric 1 (Bars): New Users
  • Metric 2 (Line): Bounce Rate
  • Insight: If you run a campaign that drives a huge spike in new users but the bounce rate line also shoots up, it's a strong signal the audience or messaging is mismatched with your landing page.

Final Thoughts

Building a combo chart with Google Analytics data is a perfect example of turning raw data into a real business insight. By moving your GA4 data into Looker Studio, you can easily combine high-volume metrics with rates or percentages to see connections that would otherwise be hidden. It's an essential skill for anyone who wants to tell a clearer story with their analytics.

All that manual work - connecting data sources, figuring out which metrics and dimensions to drag and drop, and styling your charts - is exactly the kind of process we built Graphed to simplify. After a one-click connection to your analytics and marketing platforms, you could just ask, "Show me sessions vs. session conversion rate as a combo chart for the last 90 days." Our AI handles the entire setup in seconds, instantly building live, interactive dashboards so you can spend less time wrangling charts and more time acting on what they tell you.

Related Articles