Track daily orders and sales from Shopify

Track daily orders and sales from Shopify

Hop Designer

Shubham Kaushal

Category

Revenue

This is a daily report of the number of orders, total sales, and quantity of items your store sells. It is important to note that Total Sales value excludes refunds made for orders for that date.

Total sales in this report is the sum of order prices minus refunds. This means that taxes and discounts are included.

Integration(s)

How to use this Hop.

Simply create an Airboxr account and connect your Shopify store to automatically run this export/analysis for your store. If you already have an account, click on the Add to my Collection button above.

  1. Revenue Monitoring and Trend Analysis: Analyzing trends in the number of orders and total sales helps businesses identify patterns, peak periods, and fluctuations in customer purchasing behavior.

  1. Performance Benchmarking: The report serves as a benchmarking tool, allowing businesses to compare daily sales performance against historical data. By establishing benchmarks, stores can assess the success of marketing campaigns, promotional activities, and other initiatives.

  1. Seasonal Planning and Forecasting: Understanding the daily sales performance provides crucial insights into seasonal variations in demand. E-commerce stores can use this information for seasonal planning, adjusting inventory levels, and preparing targeted marketing campaigns during peak seasons.

  1. Pricing and Promotion Evaluation: This report can be used to evaluate the effectiveness of pricing strategies and promotional campaigns. Analyzing the impact of discounts, promotions, or pricing changes on the number of orders and total sales helps refine future pricing and promotional decisions to maximize revenue and profitability.

In This Report

Metrics

  • Total Orders

  • Total Sales

  • Product Quantity

Grouped By

  • Date

See also:

Try this report for your own store.

Connect your Shopify store and automate this report. You will never have to manually work with data again.