For years, Shopify Reports felt like a closed system.
You could store powerful custom data — supplier, material, loyalty tier, wholesale level — but the moment you wanted to analyze sales using that data, the workflow was always the same:
Export → Excel → Pivot tables → Manual cleanup → Delayed insights.
Finally, that changes.
Shopify now allows metafields to be used directly inside Shopify Reports.
No apps. No spreadsheets. Just structured, native reporting using the data you already maintain.
This is a meaningful step toward eliminating data silos inside Shopify.
How to Enable Metafields in Shopify Reports (Step-by-Step)
This setup takes only a few minutes but unlocks long-term reporting value.
Step 1: Go to Metafields Settings
In your Shopify admin, navigate to:
Settings → Custom data → Metafields
You’ll see metafield definitions grouped by resource type.
Step 2: Choose the Correct Resource Type
Select the metafield definition you want to report on:
- Products – e.g. Material, Season, Designer
- Variants – e.g. Size group, Production batch
- Customers – e.g. Loyalty tier, Wholesale status
- Orders – e.g. Channel classification, Sales type
Open the specific metafield definition.
Step 3: Enable “Use in Reports” (The Key Setting)
Enable:
Checkbox: Use in reports
This exposes the metafield as a filterable and segmentable field inside Shopify Reports.
Important:
It can take up to 24 hours before the metafield becomes available in reports.
If you don’t see it immediately, that’s expected behavior.Note: Not all metafield types are supported in Shopify Reports. Only certain data types — like text, numbers, booleans, dates, color, ID, and ratings — can be used as dimensions or filters once “Use in reports” is enabled. If your metafield type isn’t supported, it won’t show up in the report builder, even if the toggle is on.
Once active, the metafield can be used across relevant Sales, Customer, and Order reports.
Report-compatible metafield types include:
- Single-line text (and lists of them)
- Multi-line text (and lists)
- Integer / Decimal (and their lists)
- Product reference
- True / False
- Date / Date and time
- URL
- Color
- ID
- Rating
Only these types will show up as a dimension or filter inside Shopify Reports.
Why This Matters: Practical Business Use Cases
This feature isn’t just a technical improvement — it directly affects decision-making.
Fashion & Apparel Brands
- Filter sales by Material (Cotton vs Wool)
- Compare performance by Season
- Analyze revenue by Designer or Collection Type
Consumables & Subscription Brands
- Segment customers by Dietary Preference
- Track revenue by Subscription Status
- Identify repeat purchase behavior per segment
B2B & Wholesale Stores
- Segment orders by Wholesale Tier
- Compare average order value per customer type
- Separate B2B and DTC performance natively
For the first time, operational data and reporting live in the same system.
Going Further: Accuracy & Scale
Shopify Reports are becoming more powerful — but two considerations remain important.
Data Accuracy & Attribution
Shopify Reports rely on the data Shopify receives. For brands running paid media at scale, browser restrictions and ad blockers can still cause gaps.
That’s why I often combine Shopify’s reporting improvements with Stape.io, enabling server-side tracking to improve attribution reliability across platforms.
Managing Metafields at Scale
If you’re managing hundreds or thousands of products, editing metafields manually doesn’t scale.
Tools like Matrixify remain invaluable for bulk editing metafields and preparing structured data that works cleanly inside Shopify Reports.
What This Update Really Signals
This change is bigger than a toggle:
- Shopify is moving toward first-party, structured reporting
- Custom data no longer lives outside the reporting layer
- Clean data architecture is becoming a competitive advantage
Brands that invest in metafields now will have far better reporting later — without rebuilding their stack. Read the full update here:
