What’s New?
We’ve introduced a brand-new Abandoned Checkout trigger under a new Ecommerce Stores workflow category. This powerful trigger allows users to detect and act on abandoned carts across the Platform Ecommerce Stores as well as external platforms like Shopify—all from a single, unified trigger.
With this release, users can now build smarter recovery workflows based on when a customer abandons checkout, what they added to cart, where the order originated from, etc.
Trigger Highlights & Configuration
- Abandoned Checkout Trigger
- Triggers when a customer adds items to cart, provides their email, but does not complete checkout within a defined duration.
- Users must configure a time duration (in minutes) to define when a cart is considered abandoned.
- Powerful Filters
Users can fine-tune their workflows using the following filters:
- Cart Value– Trigger based on minimum or maximum cart value
- Country– Target customers from specific countries
- Global Products- Multi-select product filter. Choose one or more products to trigger abandoned checkout workflows.
- Order Source– Store (Platform Ecommerce Store), External (e.g., Shopify)
- External Order Source & Sub-Source Support
- When Order Source = External, users can further narrow down using:
- Sub-Source (e.g., Shopify): Shopify users simply need to select External → Sub-Source → Shopify to use the new trigger seamlessly.
What’s Changing? (Shopify Trigger Update)
- The existing Shopify Abandoned Cart trigger has been renamed to: “Shopify Abandoned Cart (Deprecating Soon)”
- This trigger will continue to work for existing users and workflows.
- It will be deprecated in the future in favor of the new Ecommerce Stores - Abandoned Checkout trigger, which supports both the Platform Stores and external platforms.
Key Points to Note
- One unified trigger now replaces platform-specific abandoned cart triggers.
- Supports both native Ecommerce Stores and external platforms like Shopify.
- Existing Shopify workflows remain unaffected.
- New trigger offers more flexibility, better filtering, and future scalability.
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