Tag Shopify Orders as High Value or Low Value

When a customer completes their purchase, this step automatically collects the order details including the total price, order ID, and other essential information. No configuration is required - the trigger works with your existing Shopify store connection. The captured order data gets passed to the next step where MESA evaluates whether it's a high-value or low-value order based on your defined thresholds.

You'll set the minimum dollar amount that defines a high-value order in your store. The default value is $100, but you should adjust this based on your average order value and business goals. When an order's total price equals or exceeds this amount, the rule passes the order data to the next step for high-value tagging. Orders below this threshold won't trigger the high-value tag action.

This step automatically runs when Path 1 Rule determines an order qualifies as high-value. It takes the order ID from the previous steps and adds a "High Value" tag directly to the order record in Shopify. You can customize the tag text if you prefer different wording like "VIP Order" or "Premium Customer." The tagged orders will immediately appear in your Shopify admin with the new label for easy filtering and management.

You'll configure the maximum dollar amount that defines a low-value order, with a default setting of $100. Orders with totals at or below this amount will be passed to the low-value tagging action. This helps you segment your customer base and apply different marketing or fulfillment strategies based on purchase value. Orders above this threshold won't receive the low-value tag.

When Path 2 Rule identifies a qualifying order, this step automatically adds the "Low Value" tag to the order in Shopify. The tag appears immediately in your admin panel, allowing you to filter and manage these orders separately from high-value purchases. You can modify the tag name to match your preferred terminology like "Standard Order" or "Growth Opportunity" depending on your business approach.