What Is the Retail Sales by Staff at Register Report?
The Retail Sales by Staff at Register report brings Shopify POS sales activity into a staff-level view. It shows how many orders are associated with each staff member at the register, along with gross sales, net sales, shipping and total sales.
Use the report for a selected reporting period to compare activity across employees and POS locations. It can help store managers review register workloads and spot differences worth investigating during coaching or shift planning.
This is a register-activity view, not necessarily a measure of who persuaded the shopper to buy. Do not treat the staff name as proof of sales attribution without checking your POS workflow.
Report Overview
- Report period
- The date range you choose.
- Data included
- Seven fields covering orders, sales amounts, staff name and POS location.
- Best for
- Retail managers reviewing staff activity at the register and location-level patterns.
- Exports
- Excel, CSV, TXT or PDF, as listed in the supplied report guidance.
- Delivery
- Schedule emailed copies daily, weekly or monthly when appropriate.
What Can You Learn from Register Staff Sales?
1. Which staff members handle more orders
Order Count helps compare transaction volume across staff during the selected period. It does not show hours worked or transaction complexity.
Example: For example, one employee appears on 48 orders and another on 31.
What you can do: Review shift coverage and role assignments before drawing conclusions.
2. How sales value differs by staff
Read Total Sales alongside Order Count to see whether a staff member’s register activity is concentrated in many smaller transactions or fewer larger ones.
Example: For example, two employees each handle 20 orders but show different total sales.
What you can do: Compare the pattern with location and shift context.
3. Where locations show different register patterns
POS Location Name allows you to review staff-associated sales within a store rather than mixing every register together.
Example: For example, a busy city location records more orders than a smaller outlet.
What you can do: Filter or group by location for fairer store-level reviews.
4. Why gross and net sales should be read together
Gross Sales and Net Sales may differ because of adjustments included in the report’s definitions. The fields flag a difference but do not, on their own, explain its cause.
Example: For example, a staff row shows gross sales higher than net sales.
What you can do: Check the underlying orders before assigning a reason.
What Should You Check First in This Report?
Start with the measures most useful for reviewing register activity:
- Order Count — compare workload, while allowing for differences in shift length.
- Total Sales — examine sales value alongside order volume, not in isolation.
- Net Sales versus Gross Sales — flag gaps for a closer review of underlying transactions.
- Staff name and POS Location Name — verify the employee and store context before comparing rows.
When Should You Use This Report?
| When to Use It | How It Helps |
|---|---|
| Reviewing sales handled by register staff | Reviews order volume and sales amounts for employees working at the register. |
| Comparing register activity across POS locations | Compares register activity by POS location without combining unlike stores. |
| Checking staff results after a shift or period | Checks staff-associated sales results after a selected operating period. |
| Investigating differences between sales measures | Identifies unusual differences between gross sales, net sales and total sales for review. |
| Scheduling staff-at-register sales summaries | Receives a recurring summary of staff-at-register activity. |
How to Create This Report in Data Export
Start with the premade report to keep the included fields together.
- Open Data Export and find the premade “Retail sales by staff at register” report.
- Open the report and review Staff name, POS Location Name and the five order/sales measures.
- Choose your date range; adjust available filters or columns to focus on the POS location or staff view you need.
- Save the report, then export a copy in the available format that suits your review.
- If useful, schedule email delivery daily, weekly or monthly to the relevant team.
Make the Most of This Report
Four practical ways to keep staff comparisons useful:
01 / COMPARISON
Match the periods: Compare equivalent date ranges before comparing order counts.
02 / LOCATION
Keep stores separate: Review staff within a POS location before combining location totals.
03 / INTERPRETATION
Check attribution: A register staff name does not automatically identify the employee who drove the sale.
04 / SHARING
Limit distribution: Share employee-level sales figures only with people who need them.
Frequently Asked Questions
Does this report show the staff member who made the sale?
It shows the staff member associated with the register activity. That may differ from the person credited with influencing or completing the sale in your store’s process.
Can I compare employees across POS locations?
Yes, the report includes Staff name and POS Location Name. Compare like-for-like periods and consider differences in store traffic and staffing.
Does it show employee hours or sales per hour?
No. Hours worked and sales per hour are not among the seven supplied fields.
Can I export the report for a weekly meeting?
Yes. The supplied guidance lists Excel, CSV, TXT and PDF exports and supports scheduling recurring email deliveries.
Does Total Sales equal what Shopify pays out?
Not necessarily. The report does not include payout or payment reconciliation fields.
