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Return Risk

How to flag high-return-risk fashion orders in WooCommerce

Flag guest checkout orders spanning multiple categories with high quantity

Automatically badges orders from guest customers who are buying across 3 or more categories with more than 5 items and a subtotal over £150, a pattern strongly correlated with high return rates in fashion stores.

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

Fashion stores with generous return policies often see first-time guests place large multi-category hauls - trying on sizes and styles with the intention of returning most items. These orders are expensive to fulfil and process returns for, but without a flag they look like any other large order.

The solution

OrderBadger can flag guest checkout orders that span multiple categories with high item counts, a pattern associated with elevated return rates in fashion.

Who this is for

Fashion, apparel, and lifestyle retailers with free returns who want to identify high-return-risk orders before dispatch for potential proactive outreach or adjusted fulfilment priority.

At a glance
Guest checkout orders only Spans 3 or more product categories Total quantity more than 5 items Subtotal over £150 Badge: Return Risk (orange)
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How it works

Combines four conditions into one rule: guest checkout AND 3 or more product categories AND total quantity above £5 AND subtotal over £150. When all four are true, a warning badge appears on the order and it is routed to the inbox for review.

Consider sending the customer a pre-dispatch email confirming their selections, or prioritise quality-checking these orders before packing. Some stores also flag these for expedited returns processing.

Rule template

Plain English rule Guest checkout and order spans 3 or more categories and total quantity is more than £5 and subtotal is over £150

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

Make it yours

Adjust thresholds
  • Lower 'over £150' to 'over £80' if your average order value is lower and you still see high return rates on mid-range guest hauls.
  • Change 'more than £5' items to 'more than £3' to catch smaller try-on orders that still carry return risk.
  • Raise '3 or more categories' to '4 or more categories' if 3-category orders are common in your store and the badge is too noisy.
Add or remove conditions
  • Remove 'Guest checkout and' to flag the same multi-category haul pattern for registered customers too - useful if your return rate is high across all buyer types.
  • Add 'and all items are on sale' to specifically catch discounted multi-category hauls, where return cost hurts margins even more. …and total quantity is more than £5 and subtotal is over £150 and all items are on sale

Badge preview

Default: Return Risk

When this rule matches

Guest 3 Categories 6 Items Over 150
Guest: yes
Guest checkout with 3 categories, 6 items total, and subtotal of £220 - all four conditions met.
Guest 5 Categories 10 Items High Value
Guest: yes
Guest checkout spanning 5 categories with 10 items and subtotal of £450 - well above all thresholds.

When this rule does not match

Registered Customer Same Pattern
Guest: no
Order meets quantity, category, and subtotal thresholds but the customer is registered, not a guest.
Guest 2 Categories Only
Guest: yes
Guest checkout with high quantity and value but only 2 categories - below the 3-category threshold.
Guest 3 Categories Low Quantity
Guest: yes
Guest checkout spanning 3 categories with subtotal over £150 but only 5 items - not more than £5.

Workflow

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

Inbox
Yes

Good to know

  • This is a heuristic, not a guarantee of returns. Not all multi-category guest orders will result in returns.
  • The subtotal threshold of 150 is fixed in the rule text and may need adjusting for different price points.
  • Registered customers are excluded. Consider a separate rule if return risk is high across all customer types.

Frequently asked questions

  • Why does this rule only target guest checkouts?
    Guest checkouts have no purchase history, making it harder to assess buyer intent. Returning customers who place similar orders are less likely to return everything because they already know the brand and sizing.
  • Can I adjust the category or quantity thresholds?
    Yes. Edit the rule text to change the number of categories, item count, or subtotal threshold. For example, you could lower it to 2 categories for a stricter filter.
  • Does this rule consider item-level discount or sale status?
    No. It only looks at guest status, category spread, total quantity, and subtotal. Combine it with the sale-items rule if you also want to flag discounted hauls.

Related rules

How to flag guest checkout orders in WooCommerce How to flag multi-category orders for coordinated warehouse picking in WooCommerce How to flag bulk quantity orders in WooCommerce

Try this rule in your store

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