Analytics / New feature

Multiple metrics on one chart
No more switching between charts to compare them

In Shopify Analytics, you can now overlay up to 4 metrics on a single line chart. And with the new "bar and line" visualization, you can compare a quantity like sales against a rate like conversion rate side by side on one chart.

On this page
  1. What's changing (understand in 30 seconds)
  2. The two new display modes
  3. Multi-metric line chart, illustrated (up to 4 metrics, automatic dual axis)
  4. The "bar and line" chart, illustrated
  5. Before vs. after
  6. Where you can use it
  7. 5 points developers should know
  8. 3 practical use cases
  9. A one-line summary for your pitch

1What's changing

Until now, each metric had its own chart, and to compare them you had to switch between charts and overlay them in your head.
Now, you can overlay multiple metrics on a single chart . Trends moving together and the relationship between quantity and rate are clear at a glance, with no switching.

Before: separate for each metric

Sales on one chart, conversion rate on another. To see how they moved together, you had to switch back and forth and overlay them in your head.

New: overlaid on one chart

Overlay up to 4 metrics on the same chart and observe how their trends move together directly. You can also compare quantity-and-rate combinations on a single chart.

2The two new display modes

NEW

Multi-metric line

Using the checkboxes in the settings panel, add up to 4 metrics to a single line chart. Metrics with different value types (such as amounts and percentages) automatically get separate Y-axis scales .

NEW

Bar and line

One metric as a bar chart, the other as a line — a new visualization. Useful for "quantity and rate" combinations such as total sales × conversion rate.

3Multi-metric line chart diagram

Settings panel Total sales ($) Conversion rate (%) Average order value ($) Sessions (a 5th metric and beyond isn't allowed) $ axis % axis Amounts and percentages get separate scales automatically → metrics with different units overlay cleanly
Total sales ($ axis) Conversion rate (% axis) Average order value ($ axis) Sessions
The key is the "automatic dual axis". Even when you mix metrics with different value types—such as dollar totals and percentage rates—each is automatically assigned its own Y-axis scale. You don't have to work out the scaling by hand.

4"Bar + line" chart diagram

Total sales Conversion rate Bars = volume (total sales) / line = rate (conversion rate), compared in a single chart
Total sales (bars, left axis) Conversion rate (line, right axis)
The go-to format when you want to overlay "volume" and "rate" on the same time axis. You can read relationships like sales rising while the conversion rate falls (i.e., traffic grew but quality dropped) from a single chart.

5Before vs. new feature comparison

ItemBeforeNew feature
Metrics per chart Basically 1 Up to 4 Added to the line
Comparing metrics By switching between charts No switching Overlaid in a single chart
Metrics with different units ($ and %) Separately, in different charts Automatic dual axis A dedicated Y axis is added automatically
Volume vs. rate comparison Bar + line the new visualization
Choosing your metrics Configured per chart In the settings panel, checkboxes to add them

6Where you can use it

Explorations
Exploration view for freely drilling into metrics
Saved reports
Also applies to reports you review regularly
Dashboard cards
Also available on dashboard cards
Whether there are supported plans, supported regions, or a phased rollout is not statedin the original post. Check whether it actually appears in your own store's Analytics screen.

75 points engineers should keep in mind

×4

1. The limit is 4 metrics

You can overlay up to 4 metrics on the line chart. A 5th and beyond won't fit, so design your dashboards assuming you'll narrow down "which metrics go together."

$ %

2. Axis assignment is driven by value type

The Y axis splits automatically based on "value type." Amounts go on one axis and rates on another by default. Mixing types creates separate scales, so you can intentionally mix types to make the chart easier to read.

3. Bar + line is for "volume × rate"

Assigning volume (sales, counts) to bars and rates (conversion rate, return rate) to the line reads best. Rather than stacking metrics of the same kind, it's better suited to understanding the relationship between two metrics of different natures.

4. Configuration is via UI checkboxes

Adding metrics is a checkbox operation in the settings panel. Anyone can build it with no code, but if you want to preserve it as a reproducible definition, it's safer to lock it into a saved report or dashboard.

API ?

5. No mention of API / query specs = verify separately

The original post only describes the display feature in the Analytics UI. There is no description of how ShopifyQL / Admin API handle this "multiple metrics in one chart," which is not stated. If you want to reproduce the same visualization with a BI tool or a BigQuery integration, design it assuming you'll build the two axes yourself on the query and rendering side.

83 use cases you can apply to your work

USE CASE 1

Report "sales grew, but what about conversion rate?" to leadership in a single view

Challenge
In the weekly report, total sales and conversion rate are shown in separate graphs, and the link between the two is explained verbally, which makes it hard to convey.
Approach
Put "total sales (bars) × conversion rate (line)" in a single bar + line chart. Lock it into a saved report and distribute it on a regular cadence.
Result
You can immediately tell "whether the sales increase came from more customers or from quality improvement," and the next move is decided on the spot in the meeting.
Technical note
The golden rule for readability is assigning volume to bars and rate to the line. The right axis (rate) auto-scales so it picks up even small fluctuations.
USE CASE 2

Overlay the KPI funnel in a single chart to read correlations at a glance

Problem
You watch sessions, conversion rate, average order value, and total sales separately, manually cross-checking which metric is driving sales every time.
Solution
Overlay 4 metrics in a multi-metric line chart and line them up on the same time axis with automatic dual axes ($ and %).
Impact
You can instantly form causal hypotheses like "sessions were flat, but sales grew because conversion rate rose," so analysis gets off the ground faster.
Technical notes
The cap is 4 metrics, so it assumes an operational design that narrows the funnel down to 4 key KPIs. Build and save it in Explorations.
USE CASE 3

Reduce the number of cards on client-delivered dashboards

Problem
The Shopify dashboards you hand to clients are packed with cards, leaving viewers unsure where to look.
Solution
Consolidate multiple metrics into a single dashboard card. Replace cards with ones that overlay related KPIs to shrink the total card count.
Impact
Visibility improves and review meetings take less time. Dashboard maintenance and explanation costs drop as well.
Technical notes
It works in 3 places—Explorations, saved reports, and dashboard cards—so you can reuse it in an explore → save → publish-to-dashboard flow.

9A one-line summary you can use in pitches

"In Shopify Analytics, you can overlay up to 4 metrics in a single line chart, and amounts and percentages get automatic dual axes.
new bar + line puts "volume × rate" on one chart too. You can read how the metrics move together without switching charts.
Available in Explorations, saved reports, and dashboard cards."