We've just pushed an update to EZ Exporter's scheduling options to allow our users to select the specific days of the week to run an export for the following schedule types:

• Every 15 Minutes
• Every 30 Minutes
• Hourly
• Daily

Some of our users have requested this option as they wanted to pause the automated exports on weekends or on specific days. 

You could technically accomplish this in the past by using multiple "Weekly" schedules.  However, this approach requires configuring multiple …

We've just pushed an update to EZ Exporter for exporting addiitional Customer and Order fields.

Most of the fields are related to email and SMS marketing.

Below is a list of the new fields that were added.

New Customer Fields

One of the hardest parts about importing orders into Shopify using CSV files is the formatting of the file.  Our app, EZ Importer, has a flexible mapping system that works for the majority of use-cases (as long as the file's first row is a header row with column names and line items are on a separate row). Another big hurdle is getting started with a CSV file, especially if you're NOT importing orders from another Shopify store or platform.  …

In the vast majority of cases, users of our EZ Inventory app just use the Hourly or Daily scheduler to constantly keep their Shopify inventory up to date with their suppliers' feed or other external feeds.

However, we've had some users ask us if they can turn off the inventory updates on weekends or only run them on specific days of the week.

We've added an option in EZ Inventory so our users can now pick which days of the …

In addition to the MIN, MAX, SUM, MEAN, COUNT, and UNIQUE COUNT functions, EZ Exporter also now supports a LIST function.

This new function allows you to combine a group of field values in a JSON list/array.  If you're familiar with SQL, this is similar to MySQL's GROUP_CONCAT() function or PostgreSQL's STRING_AGG() function.

This enables creating summary reports where you can include a column including a comma-separated list of values from a grouped data.

Some examples:

• Group orders by product …