Clearance Buyer

How to track clearance bargain hunters in WooCommerce

Identify clearance buyers purchasing heavily discounted items across multiple categories

Automatically badges orders where every item is on sale, the overall discount exceeds 30%, and the order spans 2 or more categories - a profile that indicates a clearance bargain hunter useful for segmentation and clearance campaign analysis.

Customer info
The problem

During seasonal clearance events, some customers exclusively buy discounted stock across multiple departments. These buyers are valuable for measuring clearance sell-through but behave differently from full-price customers. Without a flag, clearance-only orders are mixed into general analytics and distort category performance metrics.

The solution

OrderBadger can identify orders where every item is on sale, the discount is above a threshold, and the purchase spans multiple categories - a clear clearance buyer signal.

Who this is for

Sports, outdoor, and fashion retailers running seasonal clearance sales who want to track clearance performance, identify bargain-hunting customer segments, and measure cross-category sell-through during sales events.

At a glance
All items must be on sale Threshold: overall discount over 30% Order spans 2 or more categories Badge: Clearance Buyer (purple) Useful for clearance campaign analysis
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How it works

Combines three conditions: all items in the order must be on sale, the overall order discount must exceed 30%, and the order must span 2 or more product categories. This flags cross-department bargain hunters who are buying exclusively from clearance stock.

Use the badge data for segmentation and clearance campaign reporting. Consider sending these customers early access to future clearance events or targeted offers for full-price items in categories they bought from.

Rule template

Plain English rule All items in the order are on sale and discount percent is over 30% and order spans 2 or more categories

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 30%' to 'over 20%' to catch moderate-discount clearance buyers who are still buying exclusively sale stock.
  • Change '2 or more categories' to '3 or more categories' to tighten the definition and only badge true cross-department bargain hunters.
Add or remove conditions
  • Remove 'and all items in the order are on sale' to also flag mixed baskets where the majority of items are discounted, even if one full-price item slips in.
  • Add 'and customer has 0 previous paid orders' to isolate first-time buyers attracted purely by the clearance event - useful for measuring new-customer acquisition from sales. …unt percent is over 30% and order spans 2 or more categories and customer has 0 previous paid orders

Badge preview

Default: Clearance Buyer

When this rule matches

All Sale 35 Pct Off 3 Categories
All items are on sale, discount is 35% (over 30%), and order spans 3 categories - all conditions met.
All Sale 50 Pct Off 2 Categories
All items are on sale, discount is 50% (well above 30%), and order spans exactly 2 categories - boundary for category count met.

When this rule does not match

Mixed Sale And Full Price
One item is not on sale - the 'all items on sale' condition fails even though discount and categories are sufficient.
All Sale 25 Pct Off
All items are on sale and span 2 categories, but the discount is only 25% - below the 30% threshold.
All Sale High Discount Single Category
All items are on sale with 40% discount but only 1 category - does not span 2 or more categories.

Good to know

  • The 'all items on sale' check requires every line item to have a sale price set in WooCommerce. Items with manual price reductions that are not marked as sale items will not count.
  • The 30% discount threshold is order-level, not item-level. Individual items may have different discount percentages.
  • This rule does not distinguish between planned clearance events and everyday sale items.

Frequently asked questions

  • How is the discount percentage calculated?
    It uses the order-level discount_percent field, which represents the total discount as a percentage of the original subtotal. This is computed by WooCommerce based on the difference between regular and sale prices.
  • Why require 2 or more categories instead of just checking for all-sale items?
    Requiring multiple categories distinguishes genuine clearance browsers from customers simply buying multiple units of a single discounted product. Cross-category purchasing during a sale is a stronger signal of bargain-hunting behaviour.
  • Can I use this to measure clearance event performance?
    Yes. Filter your inbox by the Clearance Buyer badge after a sale event to see how many orders matched the pattern, which categories were represented, and how much clearance stock was moved.

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