Build a custom report to automatically generate and share the data that matters most to you.
With custom reports, you can bring together data on your organization's most important metrics and share it via email with whoever you want.
Here's how to build your report and schedule it to automatically generate.
Tip: If your organization includes multiple stores, you can build a single report that includes data on each store. (See Step 3 in the process below.)
Creating and scheduling a report
- Navigate to Insights > Reports and select Add Custom Report at the top right.
- Select +Add Component to bring up a list of component types: Number Bar, Small Component, or Large Component. (See below for a breakdown of which reports are available in each of these categories.)
- Click Add. You'll see "Configuring..." displayed until you select the Store and type of Data you want the component to cover. Click Done.
- Continue adding components. When you've added all you want to include, click Save in the upper right corner.
- In the popup, fill in the following fields:
- Generate Frequency and Generate Date - e.g., Weekly on Mondays
- Auto-send to designated email address(es) - If you want the report shared with you and/or others by email, enter email addresses separated by commas, then hit the Enter key.
- Click Save. You'll see a popup confirming that your report was created.
You can view the latest version of your report, or edit its settings and contents, by visiting Insights > Reports.
Which data sets are available for each component?
The difference between large, small, and number bar components is their sizing and the level of detail they display.
The data sets available for each component type are:
- Sales Summary
- Customer Summary
- Inventory Management Summary
- Session Summary
- User Summary
- Top Selling Products
- Sales Statistics
- New Vs. Returning Customer Orders
- Gross Sales Per Total Users
- Inventory Stock Levels
- Session Statistics
- Web Users by Language
- Web Users by Country
- Web Users by City
- Web Users by Browser
- Web Users by OS
- Average Order Value
- Top Selling Products
- New vs. Returning Customer Orders
- Reward Redemption
- Top Customer Order Value
- Inventory by Warehouse
- Inventory Status
- Session by Country
- Session by Time
- Session by Device
- Page Visits
- New and Returning Users
- New vs. Returning Customers