You track sessions, sales, and everything in between. The numbers tell a story: what's growing, what's shifting, what's working. But when those numbers move, it's not always clear why. With five new updates in Shopify Editions, Spring 2026, Shopify is bringing more context to your store's data. Now you can see what's changed, understand why, work with the dimensions and targets that matter to your business, and automatically act on what you find.
Update 1: Insights
The moment you open your Analytics dashboard, Insights surface what's trending in your store. No digging, no guessing. A prioritized, scannable view of what matters most, appears right at the top.
Behind the scenes, Insights analyzes sales, sessions, and fulfillment data daily. It identifies the signals worth paying attention to: a multi-week streak, an unusual change in pace, or a shift in your top-performing segments. Each trend is ranked by statistical significance and business impact, and links directly into the underlying report, so you can see what changed and take the next step.
In practice: You open your Analytics and see an insight showing that sales from one-time orders are on track to beat last month. At the current pace, revenue will exceed $1.5 million. You click "See why," find the products driving new customer purchases, and feature them in your next email campaign.Update 2: Annotations on Analytics charts
When your numbers move—a conversion rate jumping on a Tuesday or sessions spiking on a Thursday— annotations tell you why. Visual markers appear directly on your Analytics charts at the exact moment a store event occurred: a product published, a theme deployed, or an app installed. The context now lives right next to the data.
In practice: Gross sales are up 12.4% compared to the prior period. You hover over the annotation marker on April 4 and see that 15 products were published. What looked like organic growth maps to a product launch. Now you know exactly which moves to repeat.Update 3: Filter reports by metafields and metaobjects
Your store runs on attributes unique to your business: product material, customer segments, delivery preferences, and more. You've defined them in Shopify with metafields and metaobjects. Analytics now supports them as dimensions and filters, so your reports reflect how you actually think about your store.
In practice: You use Fairing, a post-purchase survey app, to ask customers how they first heard about your store. Because Fairing writes those responses directly to Shopify as metafields, they show up as filterable dimensions in your reports. You build a report grouped by attribution source and product collection, and see that Search and YouTube drive the most orders overall, with YouTube over-indexing on New Arrivals. You shift your product launch budget toward YouTube as a result.Update 4: Set metric targets in Analytics
For Analytics to tell the full story, it needs to know what you're aiming for. Metric targets let you define goals and track progress at a glance. The target gauge shows percentage complete, current value, and days remaining in one view. The cumulative view lets you track your daily pace against your goals.
In practice: You set a target of 4,200 orders for April. The gauge shows 49% complete with 14 days left. You're at the halfway mark of your goal with half the month remaining—on pace, but barely. You schedule a promotional push for the final two weeks to finish strong.Update 5: Get Analytics data in Shopify Flow
Finding the story in your data is only half of it. Acting on it is the other half. A new action in Shopify Flow called "get Analytics data" lets you run ShopifyQL queries on a schedule and use the results in conditions or actions: checking if last week's sales cleared a threshold, sending a daily session report, or automatically adding top-selling products to a collection.
In practice: You create a Flow that runs daily and checks if sales for the Plum Windbreaker reach $18,000, which is 90% of its target. When it hits that mark, your marketing team automatically gets a notification to email customers that it's selling out.