Besides tracking the number of deals made each month, the Shopify monthly sales report summary might include several other data indicators pertinent for monitoring the store's business performance.
The functionality of the Shopify reporting tool allows you to see the progressions in key sales indicators contrasted with earlier time periods, such as yearly averages.
The sales monthly report, by default, offers data on general sales, displaying such columns as the number of orders, gross sales, total sales, tax, discounts, and returns
Using filters, the Shopify data can be tailored more representative of your needs. For example, you can see the month with the highest sales within the specified time range. Alternatively, you can track the month with the lowest sales. Such information can be useful for inventory planning and marketing purposes.
This type of summary compiles a list of all orders that have been placed in a Shopify store each month within the specified date range. Start with this report to get a high-level overview of your sales.
The data it displays can be used to answer such questions as:
Expand this list of answers you may get on your sales by using additional data columns and data filters in the reports.
Use the data summary on sales provided by the Shopify Advanced Reports app to stay informed on key order statistics. Expand it with additional columns to get a detailed overview in the reports. For example, you can see the weeks in which you had sales during a given month.
Track order volume, gross, and total sales within the chosen time period in a monthly sales report example. Sales overview output for each sales day displays such data as:
Use these columns of monthly sales summary report to glance at the current financial and fulfillment statuses for each order within the selected dates.
If it is necessary to track Shopify sales summary within other time periods, the reporting tool allows you to switch to the day, week, the hour of the day, or year in addition to monthly report sales aanalysis.
However, you are not limited to the aforementioned time periods. Generate the report on sales based on other factors, such as sales by customer group.
In conjunction with the monthly sales report, a store manager can often use such summaries as:
Typically, the table with the data on purchases and their monthly sales consists of such columns as:
You are totally free to exclude any of the existing columns from the monthly sales report or add more. Simply choose available columns from the list of available in the monthly sales reports.
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 taxes on refunded items.
[Orders Tax] = [Orders Taxes] – [Refund Items Total Tax Amount]
Orders Total Sales: It is the final default column of the report, which sums net sales, shipping, and tax.
[Orders Total Sales] = [Orders Net Sales] + [Orders Shipping] + [Orders Tax]
You can get another view on monthly sales besides the overview. Using variations of the default report for monthly sales analysis, you can obtain a clearer insight into the business performance of your store.
One of the easiest ways to glance at the business success is to compare a specific date range to the previous period in the sales reports.
Using filters and sorting options, you can get answers to some other questions regarding sales. Monthly sales report format examples:
You can easily see the monthly sales data for each sale day with the data on the geographical distribution of customers.
See what provinces, cities, and countries have the most or least purchases in sales report monthly data.
It is well known that an existing customer costs less than attracting a new one for a store. Depending on the purchases each customer makes, they set their individual value for a store.
You can easily see the customer lifetime value with the CUSTOMERS CLV data column in a month sales report. Use it to monitor signs of shoppers' attrition in your store from monthly sales figures.
Gross margin is one of the parameters for business performance in the reports, which shows how much financial funds the store retains. The higher this indicator is for the monthly sales volume, the more capital is available to pay for other costs.
See the gross margin in percent by activating the corresponding column in the reports.
[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.
The monthly sales overview can be extended with the data columns on transactions. You can get such information as:
The total cost of ordered items in an order is calculated as:
[ORDER ITEMS Total Cost] = [ORDER ITEMS Quantity] × [INVENTORY ITEMS Cost]
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 the reports.
In case the date of the customer’s first order is equal to the order processing date, then the customer is considered a first-time buyer. Otherwise, he or she is assigned to a Returning type. If the monthly sales report cannot detect the customer ID, it will display the Unknown value.
For each order, get the shipping price calculation:
[ORDER ITEMS Total Shipping Price] = [ORDERS Shipping Price] ÷ [ORDER FACTS Quantity] × [ORDER ITEMS Quantity]
Get the sum of total sales calculated as:
[ORDERS Total Sales] = [ORDERS Net Sales] + [ORDERS Shipping] + [ORDERS Tax]
The ORDERS Net Sales is 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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