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this page was printed on sep 02, 2021. for the current version, visit https://help.shopify.com/en/manual/reports-and-analytics/shopify-reports/report-types/customers-reports.

if your store is on the shopify, advanced shopify, or shopify plus plan, then you have access to detailed reports about your customers. with the following reports, you can gain helpful insights about your customers, including their average order count, average order totals, and expected purchase value:

  • customers over time
  • first-time vs returning customer sales
  • customers by location
  • returning customers
  • one-time customers

if your store is on the advanced shopify or shopify plus plan, then you also have access to the following reports:

  • at-risk customers
  • loyal customers

because of the way that the customer reports are generated, they might not show all the activity on your store from the past 12 hours. however, when you open the first-time vs returning customer sales report report, the data is up to date, give or take a few seconds. you can reopen or refresh the report to show newer data.

the customers reports are limited to 250,000 customers. if you need to access customer data for more than 250,000 customers, then you can set up and use google analytics. to learn more, go to working with google analytics. however, you can export all your customers from the customers page in your shopify admin.

the data in customer reports is based on the entire order history of the new customers in the report, not only the orders that were placed during the selected timeframe. for example, if you view a report for november only, then a new customer from that month still shows as a repeat customer, even if they made their second purchase in december.

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  1. from your shopify admin, go to analytics > reports.
  1. from the shopify app, tap store, and then tap analytics.
  2. tap reports.
  1. from the shopify app, tap store, and then tap analytics.
  2. tap reports.
  1. in the customers section, click the report that you want to see.

customers over time

the customers over time report shows how many customers placed orders with your store.

you can select a unit of time in the group by drop-down menu to control how the data is grouped.

the report table shows two rows for each time unit when there are both types of customer: one for first-time customers, and one for returning customers. a first-time customer is a customer who placed their first order with your store. a returning customer is a customer who placed an order, and whose order history already includes at least one order.

for each time unit you can see the following data:

  • the number of new (first-time) customers who placed an order during that time. such a group of customers is often called a new cohort of customers.
  • the number of returning customers who placed an order during that time.

first-time vs returning customer sales

the first-time vs returning customer sales report shows the value of orders placed by first-time and returning customers.

you can click group by to select the time unit that you want to view the total sales by in the graph: hour, day, week, month, quarter, year, hour of day, day of week, or month of year. the time unit specifies how the total sales are grouped.

the report table shows two rows for each time unit when there are both types of customer: one for first-time customers, and one for returning customers. a first-time customer is a customer who placed their first order with your store. a returning customer is a customer who placed an order, and whose order history already includes at least one order.

for each time unit you can see the following data:

  • the number of orders placed by each group of customers
  • the value of orders (total sales) placed by each group of customers.

customers by location

the customers by location report shows data for new customers organized by geographical location. new customers are organized according to the geographical location in their default address in your shopify admin.

for each geographical region, you see:

  • the number of new customers who placed their first order during the selected timeframe
  • the total number of orders that those customers have placed since their first order
  • the total amount that they have spent, including taxes, discounts, shipping, and any refunds

the orders to date and total spent to date totals are based on the entire order history of the new customers in the report, not only the orders that were placed during the selected timeframe.

returning customers

the returning customers report shows data about all your customers whose order history includes two or more orders.

you can see the following details for each customer:

  • their name
  • their email address
  • whether they agreed to accept marketing when they placed their most recent order
  • the date of their first order
  • the date of their most recent order
  • the number of orders that they have placed
  • their average order value
  • the total amount that they have spent, including taxes, discounts, shipping, and any refunds

one-time customers

the one-time customers report shows data about all your customers whose order history includes only one order.

you can see the following details for each customer:

  • their name
  • their email address
  • whether they agreed to accept marketing when they placed their most recent order
  • the date of their first order.
  • the number of orders that they have placed, which is 1
  • the value of their order, including taxes, discounts, shipping, and any refunds

at-risk customers

you have access to the at-risk customers report only if your store is on the advanced shopify or shopify plus plan.

the at-risk customers report shows data about all your returning customers who are at risk.

a customer is at risk if they're estimated to have a medium probability of returning to place another order with your store, but they haven't placed an order in a while.

shopify uses a machine learning model to determine the likelihood that a customer will return to purchase an item in the next 90 days.

by knowing which of your customers are at risk, you can tailor or target your marketing. for example, you can offer your at-risk customers a discount to encourage them to buy from you again.

in the report, you can see the following details for each customer:

  • their name
  • their email address
  • whether they agreed to accept marketing when they placed their most recent order
  • the date of their first order
  • the date of their most recent order.
  • the number of orders that they have placed
  • their average order value
  • the total amount that they have spent, including taxes, discounts, shipping, and any refunds

loyal customers

you have access to the loyal customers report only if your store is on the advanced shopify or shopify plus plan.

the loyal customers report shows data about all your returning customers who are loyal.

a customer is loyal if they're estimated to have a high probability of returning to place another order with your store, and they've placed more orders than the average customer. this can be helpful in your marketing efforts. for example, marketing your high-margin products to your loyal customers might be an effective approach.

you can see the following details for each customer:

  • their name
  • their email address
  • whether they agreed to accept marketing when they placed their most recent order
  • the date of their first order
  • the date of their most recent order.
  • the number of orders that they have placed
  • their average order value
  • the total amount that they have spent, including taxes, discounts, shipping, and any refunds

customize the customers reports

if your store is on the advanced shopify or shopify plus plan, then you can use the filtering and editing features to customize the reports about your customers.

the following is a sample of some of the filters and columns that are available, where applicable.

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customer

  • customer email - the email address associated with a customer.
  • customer name - the first and last names of a customer.

customer attributes

  • accepts marketing - whether customers agreed to accept marketing when they placed their most recent order.
  • is one-time - customers whose order history includes only 1 order.
  • is returning - customers whose order history includes more than 1 order.

customer segment

  • is at risk - customers who are a repeat customer and estimated to have a medium probability of returning, but who have not placed an order in a while.
  • is dormant - customers who have a low probability of returning to make another purchase.
  • is loyal - repeat customers who are estimated to have a high probability of returning, and have placed more orders than the average customer..
  • is promising - customers who are estimated to have a high probability of returning and becoming a loyal customer.

location

  • city/country/region - the city, country, and region of customers, based on their default address in your shopify admin.

columns for the customers reports

customer

  • customer email - the email address associated with a customer.
  • customer name - the first and last names of a customer.
  • customers - the total number of first-time and repeat customers who placed their an order during the selected timeframe.

customer attributes

  • accepts marketing - whether customers agreed to accept marketing when they placed their most recent order.
  • is one-time - customers whose order history includes only 1 order.
  • is returning - customers whose order history includes more than 1 order.

customer segment

  • is at risk - customers who are a repeat customer and estimated to have a medium probability of returning, but who have not placed an order in a while.
  • is dormant - customers who have a low probability of returning to make another purchase.
  • is loyal - repeat customers who are estimated to have a high probability of returning, and have placed more orders than the average customer.
  • is promising - customers who are estimated to have a high probability of returning and becoming a loyal customer.

first order

  • first order (day/month/week/year) - the date of a customer's first order.

last order

  • last order (day/month/week/year) - the date of a customer's last order.

location

  • city/country/region - the city, country, and region of customers, based on their default address in your shopify admin.

order

  • average order value - the average value of customers' orders since their first order. it's calculated by dividing the total value of new customers' orders by the total number of new customers' orders. the total order value includes taxes and shipping, and is before refunds. the total number of orders does not include orders that consist only of gift cards.

orders

  • total spent to date - the total amount that a customer has spent, including taxes, discounts, shipping, and any refunds. for example, let's suppose a customer ordered two $50 items from your store, paid no tax, received 10% on one of the items, spent $10 in shipping, and received a $7 refund for a shipping delay. in this example, the total spent to date would calculate and show a total of .
  • orders to date - the total number of new customers' orders since their first order.

time

  • day/month/week - the day, month, and week of the order.

example customization: target an email campaign towards returning customers

if you want to use an email campaign to encourage returning customers to make another purchase, then you could customize your returning customers report so that it shows only the returning customers who agreed to accept marketing.

to create the report for this example:

  1. from your shopify admin, go to analytics > reports.
  1. from the shopify app, tap store, and then tap analytics.
  2. tap reports.
  1. from the shopify app, tap store, and then tap analytics.
  2. tap reports.
  1. under the customers section, click returning customers.

  2. from the returning customers report, click manage filters.

  3. click add filter.

  4. select accepts marketing, and then in search, select yes.

  5. click apply filters.

the report is now limited to returning customers who accept marketing.

you can then export the report to a csv file, and you can use all the email addresses in the file for your email campaign.

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[email protected]

[email protected]

+91 7888093332

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