Shopify Analytics / New feature

The moment you open the dashboard,
see what just moved, lined up

A stream of insights highlighting your key business trends now appears at the top of the analytics dashboard. They're analyzed automatically every day, with the top 5 lined up in order of business impact.

What's on this page
  1. What actually changed (in 30 seconds)
  2. How it works: the flow up to a displayed insight
  3. The three status badges
  4. What's being analyzed
  5. The path from "See why" to Sidekick
  6. Understanding it through concrete examples
  7. 5 points developers should know
  8. 3 use cases you can put to work
  9. A one-line summary for pitches

1What actually changed

Until now, you had to compare the dashboard's charts and numbers yourself to read off what went up or down.
Starting now,insights on your key trends are automatically laid out as text at the top of the dashboard. The moment you open it, you can see what changed.

Before: read the charts yourself

You had to move back and forth between multiple reports and spot the changes and trends in the numbers on your own. It was easy to miss things.

From now on: the key points laid out as text

The top 5 insights extracted by daily automated analysis appear at the top of the dashboard in order of business impact.

2How it works: the flow up to a displayed insight

Your data Sales / sessions Fulfillment Products, regions, channels customer type, and more Every day Automated analysis runs daily In impact order reordered Top 5 extracted ranked by impact Top of the dashboard 1. Upward trend ↑ 2. Downward trend ↓ 3. Top performer ★ Visible the moment you open it
The analysis Sales, sessions, and fulfillmentdata isproducts, regions, channels, and customer typesrun cross-sectionally across dimensions such as. From those results, it extracts and surfaces the "top 5 by business impact" — that's the structure.

3Three status badges

Each insight comes with a status badge so you can tell its nature at a glance.

Trending Up
Upward trend. Highlights metrics that are growing.
Trending Down
Downward trend. Highlights metrics that are declining.
Top Performers
Top performer. Highlights the best-performing subject.

4What is being analyzed

AxisDetails
Data being analyzed sales / sessions / fulfillment
Dimensions products / regions / channels / customer types, and more
Run frequency Daily Runs automatically on a daily basis
Number shown Top items by business impact 5 items
Where it appears At the very top of the analytics dashboard (the insights stream)
Supported plans, available regions, and whether activation is required (automatically on or needs configuration) arenot statedin the original article. Check your own store's admin to confirm whether it actually appears.

5The path from "See why" to Sidekick

1
insight

View an insight

Pick one that catches your eye from the insights lined up at the top of the dashboard.

2
See why

Click "See why"

The full report opens, where you can review the supporting details behind it.

3

Sidekick launches alongside

Sidekick opens with the insight already loaded, so you can ask follow-up questions.

Sidekick has the insightalready loadedlaunches with it, so you can throw follow-up questions like "What should I do next?" directly.Discover → dig deeper → consider next stepsall in a single screen.

6Understand it through a concrete example from the article

Trending Up example

Returning customer revenue up for 8 weeks straight

An insight that "revenue from returning customers has been growing for 8 weeks straight." It can be read as a signal to double down on loyalty initiatives.

Top Performers example

A specific region jumped to the top in sales

An insight that "a certain region became a top performer in sales." The article's claim is that it surfaces changes you wouldn't have noticed on your own.

75 points engineers should keep in mind

1. The essence is "automatic extraction + presentation," not "analysis"

Rather than extending the reporting feature itself, it analyzes existing data daily, summarizes it in order of impact, and brings it to the forefrontpresentation layeris what's added. The underlying data is continuous with the existing analytics.

daily

2. Updates run as a daily batch

Insights are assumed to be recalculated daily. Since these aren't real-time metrics, they aren't suited for instantly catching sudden same-day changes. A "open it first thing in the morning" routine fits well.

5

3. There's a fixed "slot" of the top 5 items

Only the top 5 items by impact are presented. Changes outside that slot aren't brought to the forefront. You should treat comprehensive monitoring as something still done on the full reports side.

4. Sidekick integration is the standard path

From "See why," the full report and Sidekick launch with the insight already loaded. Insights area starting point for conversational deep divesby design. It assumes an environment where Sidekick is available.

API ?

5. No mention of API / settings / supported scope

The original article only explains the behavior on the admin UI. Whether insights can be retrieved via the GraphQL Admin API, whether enabling is required, and which plans and regions are supported arenot mentioned. If you're aiming for automation or external integration, separate verification is needed.

83 use cases you can apply to your operations

Morning check
USE CASE 1

Turn an ops team's "morning health check" into a single screen

Challenge
Every morning, you open multiple reports and visually hunt for anomalies in sales, sessions, and shipping, which leads to oversights and inconsistent time spent.
Approach
Switch to a routine where you open the dashboard and first check the top 5 insights (up / down / top) at the very top.
Impact
You instantly know "the changes worth looking at today," compressing the verification effort. You can reduce missed downward anomaly trends.
Technical note
Since updates are daily, this pairs well with a first-thing-in-the-morning check. Cover sudden real-time same-day changes separately with real-time metrics.
8 weeks straight ↑
USE CASE 2

Catch returning-customer growth and accelerate loyalty initiatives

The challenge
You notice changes in repeat-purchase growth or slowdown too late, and tend to miss the right window to deploy loyalty initiatives (email, LINE, membership perks).
The play
Use insights like "returning customers' revenue is rising for consecutive periods" as a trigger to justify raising the budget and frequency of your loyalty initiatives.
The impact
You can concentrate your efforts while you have a tailwind, helping push up LTV and repeat-purchase rate.
Technical notes
Click "See why," then ask Sidekick "What should I do next?" to drill into the target segments and products through conversation.
USE CASE 3

Uncover the "growing regions and channels" you'd been overlooking

The challenge
You keep watching only your core regions and channels, so you miss shifts where a new region or customer type has surged to the top.
The play
Use the "Top Performers" badge insights to spot unexpectedly growing regions and channels, and feed that into reviewing inventory allocation, ads, and shipping settings.
The impact
You avoid missing growth opportunities happening outside your own assumptions, and can optimize resource allocation to match real data.
Technical notes
Because the analysis spans regions, channels, and customer types, it catches cross-sectional shifts that are hard to see in a single report. Drill in from "See why."

9One-line summary you can use in a pitch

"A new feature that automatically analyzes your analytics every day andsurfaces the top 5 highest-impact insights at the top of your dashboard."
With trending-up / trending-down / top badges, you instantly see "what just moved," and
from "See why," Sidekick launches alongside you so you can drill into your next move through conversation."