Sales by Device ID Report for Shopify
The report displays sales data segmented by device type, such as mobile, desktop, or tablet, allowing merchants to analyze performance based on customer device usage.
5 from 1,800+ merchants
2,000+ data fields
Trusted by 40,000+ Shopify stores
Updated June 2026
Why this report matters
A busy store runs several POS devices, and they don’t perform identically. One register near the entrance does double the volume; another by the fitting rooms barely rings. Without device-level data you’re guessing which is which.
Shopify’s retail reports lean on location and staff; clean per-device reconciliation isn’t a native, schedulable cut on most setups. So managers reconcile each till by hand at close and never compare devices over time.
Grouping sales by device ID gives each register its own line — net sales, basket size, refunds. That’s what you reconcile a drawer against at close, and it’s how you spot an underused checkout point or a device with an odd refund pattern worth investigating.
What’s included
Device
Device ID / register name
The identifier of the physical POS device or register that processed the sale.
Heads up: Device naming/IDs depend on how your POS hardware is registered in Shopify; unnamed devices show as an ID rather than a friendly label. [verify]
Location
The store the device belongs to, for multi-store roll-ups.
Performance
Orders & units
Transactions and items processed on the device.
Gross & net sales
Revenue before and after discounts and returns, per device.
Formula: Net sales = Gross − Discounts − Returns
Average order value
Basket size at the device — a clean register-to-register comparison.
Formula: AOV = Net sales ÷ Orders
Example: Front register $58 AOV vs side register $39 — placement and staffing both matter.
Reconciliation
Refunds & exchanges
Returns processed on the device, separated from sales.
Heads up: An exchange can net near zero in dollars while moving units; reconcile unit movement, not just the net amount.
Cash vs card (where available)
Tender split per device, for drawer reconciliation.
Heads up: Tender detail depends on your payment setup being reported through Report Pundit. [verify]
Who uses this report
Retail manager
Store designer / ops
Loss prevention
Multi-store owner
How to read the report
- Reconcile per device, not per store. A store-level total can balance while one drawer is short; the device line is where discrepancies surface.
- Compare device AOV. Basket differences between registers usually trace to placement or who’s stationed there.
- Flag refund outliers. One device with a high refund share is worth a closer look, for both training and loss prevention.
- Watch utilization. A device doing a fraction of the others’ volume may be redundant — or badly placed.
How to build the report in Report Pundit
- Open Report Pundit in your Shopify admin and choose Create Report (or the pre-built “Sales by Device ID” template).
- Set the data source to Sales / Orders and filter Sales channel to Point of Sale.
- Group the report by POS device ID / register.
- Add columns: Location, Orders, Units, Gross sales, Net sales.
- Add a calculated AOV column and Refunds/exchanges.
- Add a tender (cash vs card) split where your payment data supports it.
- Set the date range (a single day for close-out, longer for comparison) and run.
- Confirm devices are coming through with IDs, then Save.
- Schedule a daily close-out send to store managers, or export to Google Sheets.
Sample report

Customization & filters
- Filter to one location or one device.
- Group by device then staff to see who worked each register.
- Switch the window between daily close-out and monthly comparison.
- Add a tender split for drawer reconciliation.
- Normalize sales per open hour for a fair device comparison.
Automate & export
- Schedules — hourly, daily, weekly, monthly, or custom cron
- Delivery formats — Excel, CSV, PDF, or push to Google Sheets in real time
- Group by month or week — trends instead of a static snapshot
- Destinations — email (multiple recipients), Google Sheets, Google Drive, FTP/SFTP, Looker Studio, BigQuery
- Conditional alerts — get notified only if a channel's net sales drop more than X% week-over-week
Report Pundit vs Shopify's native Sales by Channel report
Frequently Asked Questions
Yes. Device-level data comes from Shopify POS activity, so the report covers in-person sales. Without POS in use there are no devices to break down.
Sales by POS groups by location and staff; this drills to the individual register/device. Use it for till-by-till reconciliation and to compare hardware utilization within a store.
It shows whatever identifier your POS hardware is registered with. If devices aren’t named, they appear as IDs — worth naming them in Shopify for readable reports.
Benefits

Device Identification

Device Performance

Sales Trends by Device
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