What Is the Most Valuable Customers Report
The Most Valuable Customers report identifies your highest-spending Shopify customers. It sorts customers by Total Spent in descending order, so the largest spenders appear first. Each row brings a customer’s identity, order count, spending, and email into one view.
Use the report to prepare a VIP review, identify repeat purchasers among your top spenders, or export a customer list for your team. Orders adds context to spending: a customer with one large purchase may need a different approach from someone who buys regularly.
Report Overview
- Report scope
- Customer Reports, ranked by Total Spent from highest to lowest. Review the reporting basis before comparing exports.
- Data included
- Customer ID, Customer Name, First Name, Last Name, Orders, Total Spent, and Email.
- Best for
- Reviewing high-spend customers, planning loyalty recognition, and preparing customer lists.
- Export formats
- Excel, CSV, TXT, or PDF.
- Automation
- Schedule email delivery daily, weekly, or monthly.
What Can You Learn from Customer Spending and Orders
1. Identify your highest spenders
Start at the top of Total Spent to find customers to review for VIP recognition. Customer ID helps you keep similar names separate.
Example: Hypothetically, a customer with 2,400 in Total Spent ranks above one with 900 in the same currency.
What you can do: Export a shortlist for your team to review before assigning loyalty benefits.
2. Distinguish frequent buyers from large purchasers
Read Orders alongside Total Spent to see how purchase frequency differs among high-spend customers. The spending ranking alone does not explain how often someone buys.
Example: Hypothetically, two customers each show 1,200 in spending, but one has two orders and the other has twelve.
What you can do: Plan separate recognition for frequent purchasers and customers making larger purchases.
3. Prepare a usable customer shortlist
Names and Email help turn the ranking into a working list. Check Customer ID when matching exported rows to existing customer records.
Example: Hypothetically, two top customers share a name but have different Customer IDs.
What you can do: Match records by ID and review contact details before handing the list to your team.
What Should You Check First in This Report
Check these details before using the ranking to make customer decisions.
- Total Spent: Confirm that the highest values appear first and that the reporting basis suits your review.
- Orders: Review purchase counts before treating every high spender as a frequent buyer.
- Customer ID: Use IDs to distinguish records; a matching name is not enough to combine customers.
- Email: Check missing or outdated addresses before preparing a contact list.
When Should You Use This Report
| When to Use It | How It Helps |
|---|---|
| Identifying VIP customers | Find the customers with the highest reported spending. |
| Planning loyalty rewards | Review order counts alongside spending to identify repeat purchasers. |
| Reviewing a customer’s account | Locate a customer by ID and review their reported spending and orders. |
| Preparing a ranked customer export | Prepare a ranked list with names, IDs, and email addresses for an agreed team task. |
How to Create This Report in Data Export
Start with the premade Most Valuable Customers report rather than rebuilding the field list.
- Find the report: Open Data Export and locate Most Valuable Customers in the premade customer reports.
- Review the columns: Check the seven included fields and keep Total Spent sorted in descending order.
- Check the scope: Review any available date-range and filter settings. Confirm how those settings affect Orders and Total Spent before comparing periods.
- Save and export: Save the report, then download the customer list in Excel, CSV, TXT, or PDF.
- Schedule delivery: Optionally set daily, weekly, or monthly email delivery to the people who need the report.
Make the Most of This Report
Use these checks to keep customer exports useful and consistent.
01 / REPORTING BASIS
Confirm the scope of Orders and Total Spent before comparing saved exports. Keep the same settings for recurring reviews.
02 / CUSTOMER ID
Use Customer ID when matching files. Similar names do not establish that two rows belong to the same customer.
03 / CONTACT DETAILS
Keep email exports limited to the people who need them. An email address alone does not establish marketing consent.
04 / EXPORT FORMAT
Choose Excel or CSV for sorting and matching. Use PDF when your team needs a readable snapshot of the ranked list.
Frequently Asked Questions
How does the report identify valuable customers
It ranks customers by Total Spent in descending order. This defines value by reported spending; it does not measure profit or predict future purchases.
Can I see how many orders a customer has placed
Yes. Orders appears alongside Total Spent, allowing you to compare purchase counts among your highest-spending customers.
Does Total Spent represent lifetime customer value
Do not assume that it does. Confirm the field’s reporting period and calculation before describing it as lifetime spending or using it for period comparisons.
Can I use this report to find customers who stopped buying
The default fields do not include a last-order date. You would need additional supported data to determine when a customer last purchased.
Can I export and schedule the report
Yes. Download it as Excel, CSV, TXT, or PDF, or schedule email delivery daily, weekly, or monthly.
