Track the efficacy of promo campaigns in your store
You can track the efficiency of the promotional efforts you launch in your store.
This can be done by tracking the usage of discount codes your store issues for each promo campaign.
With the help of the Advanced Reports app, you can extend the reporting functionality of the Shopify plan or higher to any plan. And generate a sales by discount code report. This summary on sales shows the breakdown of revenue and expenses for products per each promo code.
Use the functionality of this Shopify’s reporting tool to compare the costs and revenue across different marketing campaigns launched in your store to understand better which one brings the most profits.
Additionally, use the presented summary to get information on the changes in key sales indicators. Easily contrast current data with earlier time periods.
The default configuration of this report offers general sales data split by the discount code that was utilized for each order. You will get figures on the number of orders, gross sales, returns, discounts, net quantity, and total sales for each code.
Enhance the clarity of the summary output by applying filters, which help to make the data more representative according to your needs. For example, you can add customer type (new or recurring one), shipping method, fulfillment, and financial statuses for orders. Such information can be used when making decisions for future inventory planning and marketing purposes.
Get a detailed sales breakdown based on the promo codes customers have used for making purchases in your store. This type of summary aggregates information on each coupon that was used within the specific date range chosen for the report generation.
Using the summary on discount codes, the executive managers of the store can receive several benefits. For example, they can obtain a high-level overview on sales made with coupons.
The document also gives detailed information on each coupon used within the selected time range. The sales data includes key metrics for further analysis, which can be used to answer such questions as:
Expand this list of answers by extending the report with the help of additional data columns and data filters.
Using this summary, get an accurate look at the popularity of discount coupons in a store and determine how each of the issued codes performs.
Furthermore, the store managers can get additional insights by adding more data or filters to the report. Expand the summary with additional columns to get a detailed view.
For example, track what types of customers use the discount codes and what is the customer lifetime value for each coupon.
Track the number of orders, gross and net sales, items quantity within the chosen time period. Sales overview output for each sales day displays such data as:
Use these columns to glance at the current sales situation for each discount code used in your store within the range of selected dates.
A summary on sales with discount codes is an easy-to-view approach for getting the current status of each promo campaign launched in the store. However, the focus on sales data can be changed to another scope.
The reporting tool allows switching time periods and comparing data between selected time ranges. Furthermore, the report on sales can be generated on other factors that can be extracted from the store database.
In conjunction with the variant sales, a store manager can often use such summaries as:
Typically the table with the data on sales with discount codes consists of such columns as:
An executive manager responsible for analytics in the store is totally free to exclude any of the existing columns from the 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:
[ORDER ITEMS Net Sales] = [ORDER ITEMS Gross Sales] - [ORDERS Discounts] – [REFUNDS Returns]
[ORDERS Shipping] = [ORDERS Shipping amount] - [ORDER ADJUSTMENTS Total Shipping Amount]
[ORDERS Total Sales] = [ORDERS Net Sales] + [ORDERS Shipping] + [ORDERS Tax]
You can get another view on sales besides viewing the default discount sales data. Using variations of the basic report, a store manager is able to obtain a clearer insight into the business performance of the online business.
Comparing a specific date range to a previous period can be named one of the easiest ways to glance at the business's success.
Use filters and sorting options this app provides to expand the reporting abilities and get answers to some other questions regarding sales. Here are a few examples of the basic report variations.
You can easily see the sales data for each discount coupon with data on the geographical distribution of customers and the number of orders.
See what provinces, cities, and countries you have the most or least purchases.
It is well known that existing customers cost less than attracting new ones 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. Use it to monitor for signs of shoppers' attrition in your store.
Make the sales picture clear by adding a column with the number of total orders for each discount code.
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 the table.
The total cost of ordered items in the 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 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.
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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