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Return Risk

How to flag high-return-risk category combos in WooCommerce

Flag first-time buyers ordering from high-return categories together

Badges orders from customers with no purchase history who are buying from both the Dresses and Shoes categories - a combination with historically high return rates, especially among first-time buyers unsure of sizing across product types.

Review warning
Part of: How to highlight high-value orders in WooCommerce How to detect suspicious or risky orders in WooCommerce How to reduce WooCommerce returns with order flagging
The problem

Orders combining dresses and shoes from first-time customers frequently result in returns because the buyer is trying to assemble a complete outfit without prior experience of your sizing. These orders are expensive to fulfil and process returns for, and without a flag they appear as normal multi-category purchases.

The solution

OrderBadger can flag first-time buyers who order from both the Dresses and Shoes categories, a combination associated with high return rates.

Who this is for

Fashion retailers, occasion-wear shops, and bridal or formalwear stores where customers frequently order coordinated outfits. Particularly valuable for stores with free returns where multi-category sizing mismatch drives high return volumes.

At a glance
First-time customers only (zero previous orders) Must include both Dresses and Shoes categories Targets sizing-mismatch return risk Badge: Return Risk (orange) Routes to inbox for review
People also search for
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How it works

Checks three conditions: the order must include at least one product from the Dresses category, at least one from the Shoes category, and the customer must have zero previous paid orders. When all three are true, the order is badged as a return risk and routed to the inbox for review.

Consider sending a pre-dispatch sizing guide or a personalised message confirming the customer's size selections. For high-value orders, a quick customer service call can reduce the likelihood of a full return.

Rule template

Plain English rule At least one product is in the Dresses category and at least one product is in the Shoes category and customer has 0 previous paid orders

Write this (or something similar) in the OrderBadger rule builder. The AI compiler turns it into executable logic automatically.

Make it yours

Adjust thresholds
  • Replace 'Dresses' and 'Shoes' with your own high-return category names if your store uses different terminology (e.g. 'Gowns' and 'Footwear').
  • Change '0 previous paid orders' to '1 or fewer previous paid orders' to also catch customers who have only ordered once before.
Add or remove conditions
  • Add 'and order total is over £150' to focus on high-value outfit orders where the return cost is most significant. …n the Shoes category and customer has 0 previous paid orders and order total is over £150
  • Add 'and total quantity is more than £3' to catch multi-size try-on hauls where the customer is ordering several sizes of the same style. …n the Shoes category and customer has 0 previous paid orders and total quantity is more than £3
  • Remove 'customer has 0 previous paid orders' to flag all dress-and-shoes combinations regardless of customer history.

Badge preview

Default: Return Risk

When this rule matches

First Timer Dresses And Shoes
Previous paid orders: 0  |  Guest: no
Order contains items from both Dresses and Shoes categories and the customer has 0 previous paid orders - all three conditions met.
First Timer Multiple Dresses And Shoes
Previous paid orders: 0  |  Guest: no
Three items across Dresses and Shoes categories with zero order history - classic try-on haul pattern from a new customer.

When this rule does not match

Returning Customer Same Categories
Previous paid orders: 4  |  Guest: no
Order contains both Dresses and Shoes but the customer has 4 previous paid orders - not a first-time buyer.
First Timer Dresses Only No Shoes
Previous paid orders: 0  |  Guest: no
First-time buyer ordering from Dresses but no Shoes category - the Shoes condition is not met.
First Timer Shoes Only No Dresses
Previous paid orders: 0  |  Guest: no
First-time buyer ordering from Shoes but no Dresses category - the Dresses condition is not met.

Workflow

This rule includes workflow features that help your team act on flagged orders.

Inbox
Yes

Good to know

  • The category names 'Dresses' and 'Shoes' must match your WooCommerce product categories exactly, including capitalisation.
  • This is a heuristic based on common return patterns. Not every first-time dress-and-shoes order will result in a return.
  • Subcategories (e.g. 'Casual Dresses' or 'Formal Shoes') may not trigger the rule unless they are also tagged with the parent category name.

Frequently asked questions

  • What if my categories are named differently, like 'Women's Dresses' or 'Footwear'?
    Edit the rule text to use your exact WooCommerce category names. The match is text-based, so the names must correspond to your product categories.
  • Does the rule check subcategories or only top-level categories?
    It checks the categories assigned to each product. If a product is in 'Casual Dresses' but not explicitly in 'Dresses', the rule will not match unless your products also carry the parent category.
  • Will guest checkouts trigger this rule?
    Guest checkouts always have 0 previous paid orders, so they will trigger the rule if the category conditions are met. If you want to exclude guests, add 'and customer is not a guest checkout' to the rule.
  • Can I add more categories to the high-risk combination?
    Yes. Edit the rule to include additional category checks (e.g. 'and at least one product is in the Lingerie category') to capture broader outfit-building patterns.

Related rules

How to flag high-return-risk fashion orders in WooCommerce How to identify first-time buyers in WooCommerce How to flag customers with past refunds in WooCommerce

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