Sales by Day of Week Report

Know what day of the week is the most profitable for you

Table of Contents

Why Sales by Day of Week report is important

shopify sales by day of week

This type of summary might incorporate several other data indicators besides following the number of deals made each day of the week. These additional indicators can be pertinent for tracking the store's business performance.

Easily see sales growth by comparing the current data with earlier time ranges. Use the functionality of the reporting tool to know the progressions in key sales indicators.

The default version of this report offers data on general patterns of store financial operation by displaying such columns as the number of orders, gross sales, total sales, tax, discounts, and returns.

The executive manager can make the data more representative of their needs by using filters. For example, they can see the day of the week with the highest sales for the current month. They can also track down the day with the lowest sales for the last year. Such information can be useful for inventory planning and marketing purposes.

What questions summary on Sales by Day of Week can answer

This type of summary pulls a list of all orders that have been placed in a store within the specified date range and splits them by days of the week. Use it to obtain a high-level overview of daily trends in sales.

shopify sales by day of week

The data displayed in it can be used to answer such questions as:

  • what payment gateways do customers prefer to use day to day within specific dates
  • what day of the week may be best suitable for launching a promo campaign
  • what day of the week is the busiest day for store staff
  • what day of the week brings the highest number of orders each month, year, or any chosen time period
  • how the key sales indicators (gross, net, and total sales) change day to day within a specific time range
  • how to see the tax, refunds, discounts the store had on orders each day of the week
  • what is the total number of orders and items purchased for each day of the week
  • what are the gross profit and gross margin each day of the week

Expand this list of answers you may get on your sales by using additional data columns and data filters.

Key sales indicators in a Sales by Day of Week report
shopify sales by day of week

Use the data summary on sales provided by the Advanced Reports app to be informed on key sales statistics split by days of the week.

Expand it with additional columns to get a detailed view of the business performance of the store. For example, you can see the customers from what countries mostly buy from you on a certain day of the week within the given month or other time range.

Track orders volume, gross and total sales within the chosen time period. For each day of the week, the summary displays such data as:

  • Number of orders
  • Taxes
  • Discounts
  • Refunds
  • Shipping costs
  • Gross, net, and total sales

Use these columns to glance at the current financial and fulfillment statuses for each order within the selected dates.

Reports similar to Sales by Day of Week

Sales summary can be tracked with another pivoting point if it is necessary. The reporting tool allows switching for a day, week, an hour of the day, year, quarter, or any other specific quantum of time.

However, you are not limited to splitting sales by the time mentioned above periods. Generate the report on sales based on other factors, like sales by customer group.

In conjunction with the day of week sales report, a store manager can often use such summaries: shopify sales by day of week

  • Sales by Day. Use it to see the sales information that occurred every day within the specified time range.
  • Sales by Hour. A convenient method to know the exact time when your store has the busiest hours. See the sales that occurred every hour.
  • Sales by Year. Use it as a yearly summary on sales in your store and compare it with data for previous years.
  • Sales by Channel. See what channels bring sales to your store. Get information on whether it is an offline POS or online store.
  • Sales by Customer. Get more information on what customer types make your sales.
  • Sales by Discount. See what marketing campaigns had the most success in your store.
  • Sales by product. Displays the information on purchases for each product name or SKU.
  • Average Order Value Over Time. It shows how the average check has changed over a certain time period, for example, a month.
  • Sales by Product Type/Variant/Collection. Find out what type of products/variants/collections brings sales to your store.

A store manager can add to those reports a column with the day of week data to get more insights.

Key columns for Sales by Date of Week

By default, the table with the data on purchases and their sales for each day of the week consists of such columns as:

shopify sales by day of week
  • SALES Date – Day of week
  • ORDERS Number of orders
  • ORDERS Gross Sales
  • ORDERS Discounts
  • REFUNDS Returns
  • ORDERS Net Sales
  • ORDERS Shipping
  • ORDERS Tax
  • ORDERS Total Sales

When using this generated summary, you are free to exclude any existing columns from its default configuration or add several additional ones. Simply choose available columns from the list.

Here is how some of the key columns in the default report are calculated:

  • REFUNDS Returns. It is calculated through Refunds Total Gross Amount and Order Adjustments Total Amount data columns.
  • [REFUNDS Returns] = [REFUNDS Total Gross Amount] – [ORDER ADJUSTMENTS Total Amount]

  • ORDERS Net Sales. It is used to display what is left after the discounts and refunds are extracted from gross sales.
  • [ORDERS Net Sales] = [ORDERS Gross Sales] – [ORDERS Discounts] – [REFUNDS Returns]

  • ORDERS Shipping. Allows tracking the sums on order shipping.
  • [ORDERS Shipping] = [ORDERS Shipping amount] – [ORDER ADJUSTMENTS Total Shipping Amount]

  • ORDERS Tax. Depicts the sum of taxes excluding the taxes on the refunded items.
  • [ORDERS Tax] = [ORDERS Taxes] – [REFUND ITEMS Total Tax Amount]

  • ORDERS Total Sales. The report's final default column, which sums net sales, shipping, and tax.
  • [ORDERS Total Sales] = [ORDERS Net Sales] + [ORDERS Shipping] + [ORDERS Tax]

Variations of the sales overview report

You can get another view of sales besides the overview daily with default sales metrics. Using variations of the basic report, you can obtain a clearer insight into the business performance of your store.

One of the easiest ways to glance at business success is to compare a specific date range to a previous period.

Using filters and sorting options, you can get answers to some other questions regarding sales. Here are some examples of the report variations.

What payment gateway is used mostly for each day of the week

You can easily see the trends on payment infrastructure usage when generating the sales by day of week report. Add a SALES Gateway column in order to display such data.

Add a TRANSACTIONS Source Name to see the name of the transaction’s origin and add a TRANSACTIONS Status to see if the transaction was completed successfully.

How to see sales by location
shopify sales by day of week

You can easily see the sales data for each sale day with the data on the geographical distribution of customers.

See what provinces, cities, and countries you have the most or least purchases for each day of the week.

How to see customer’s lifetime value
shopify sales by day of week

It is well known that existing customers cost less than attracting new ones for a store. Depending on each customer's purchases, they set their individual value for a store.

You can easily see the customer lifetime value with the CUSTOMERS CLV data column. Use it to monitor for signs of shoppers' attrition in your store.

How to see gross margin in percent

Gross margin is one of the parameters for the business performance, which shows how much financial funds the store retains. The higher this indicator is, the more capital is available to pay for other costs.

See the gross margin in percent by activating a corresponding column.

[ORDERS Gross Margin, %] = ([ORDERS Net Sales] - [ORDERS COGS]) ÷ [ORDERS Net Sales] × 100

The result is rounded to two numbers after the comma sign. If the calculation result is negative, the report shows zero value in a table.

How to get details on sales transactions
shopify sales by day of week

The sales overview can be extended with the data columns on transactions. You can get such information as:

  • Gateway the operation was made from
  • Source name of the transaction
  • Current status of the transaction
  • The type of the transaction (sales, refund)
  • Creation timestamp
  • Transaction total amount for each sale day
How to see the total cost of ordered items

The total cost of ordered items in the order is calculated as:

[ORDER ITEMS Total Cost] = [ORDER ITEMS Quantity] × [INVENTORY ITEMS Cost]

How to see what type of customer made the order

A store can have both new and recurring customers, the latter being preferable. Merchants can easily see what types of customers buy in their stores within the ORDERS Customer Type column.

In case the date of customer’s first order is equal to the order processing date, then the customer is considered a first-time buyer. Otherwise, they are assigned to a Returning type. If the report cannot detect the customer ID, it will display the Unknown value.

How to get the total shipping price for a partial item

For each order, get the shipping price calculation :

[ORDER ITEMS Total Shipping Price] = [ORDERS Shipping Price] ÷ [ORDER FACTS Quantity] × [ORDER ITEMS Quantity]

How to get total sales for orders

Get the sum of total sales calculated as:

[ORDERS Total Sales] = [ORDERS Net Sales] + [ORDERS Shipping] + [ORDERS Tax]

The ORDERS Net Sales are obtained as:

[ORDERS Net Sales] = [ORDERS Gross Amount] - [ORDERS Discounts] - [REFUNDS Returns]

The ORDERS Shipping is obtained as:

[ORDERS Shipping] = [ORDERS Shipping amount] - [ORDER ADJUSTMENTS Total Shipping Amount]

The ORDERS Shipping is obtained as:

[ORDERS Tax] = [ORDERS Taxes] – [REFUND ITEMS Total Tax Amount]

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